[{"id":722,"date":"2026-02-26T21:18:26","date_gmt":"2026-02-27T02:18:26","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=722"},"modified":"2026-02-26T21:21:55","modified_gmt":"2026-02-27T02:21:55","slug":"test","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/test\/","title":{"rendered":"Test"},"content":{"rendered":"\n
\"\"<\/span>
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Southeastern Quantum Conference<\/h2>\n\n\n\n

September 26 – 25 <\/h2>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-722","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/722","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/comments?post=722"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/722\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/media?parent=722"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":702,"date":"2025-10-23T20:45:52","date_gmt":"2025-10-24T00:45:52","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=702"},"modified":"2025-10-23T20:45:52","modified_gmt":"2025-10-24T00:45:52","slug":"keynote-speaker","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/keynote-speaker\/","title":{"rendered":"Keynote Speaker"},"content":{"rendered":"\n
<\/div>\n\n\n\n
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Dr. David Goldhaber-Gordon<\/strong><\/h2>\n\n\n\n

TG Wijaya Professor of Physics<\/h3>\n\n\n\n

Stanford University\/SLAC<\/h3>\n\n\n\n
<\/div>\n\n\n\n

One-way Electrons, and Other Tales of Quantum Materials<\/em><\/h3>\n<\/div><\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-702","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/comments?post=702"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/702\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/media?parent=702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":657,"date":"2025-10-21T10:33:53","date_gmt":"2025-10-21T14:33:53","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=657"},"modified":"2025-10-24T17:27:06","modified_gmt":"2025-10-24T21:27:06","slug":"poster-session","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/poster-session\/","title":{"rendered":"Poster Session"},"content":{"rendered":"\n

Poster Number<\/strong><\/td>Poster Presenter<\/strong><\/td>Affiliation<\/strong><\/td>Poster Title<\/strong><\/td>Poster Abstract<\/strong><\/td><\/tr>
18<\/td>Muneer Alshowkan<\/td>Oak Ridge National Laboratory<\/td>Resilient Entanglement Distribution in a Multihop Quantum Network<\/td>The evolution of quantum networking requires architectures capable of dynamically reconfigurable entanglement distribution to meet diverse user needs and ensure tolerance against transmission disruptions. We introduce multihop quantum networks to improve network reach and resilience by enabling quantum communications across intermediate nodes, thus broadening network connectivity and increasing scalability. We present multihop two-qubit polarization-entanglement distribution within a quantum network at the Oak Ridge National Laboratory campus. Our system uses wavelength-selective switches for adaptive bandwidth management on a software-defined quantum network that integrates a quantum data plane with classical data and control planes, creating a flexible, reconfigurable mesh. Our network distributes entanglement across six nodes within three subnetworks, each located in a separate building, optimizing quantum state fidelity and transmission rate through adaptive resource management. Additionally, we demonstrate the network’s resilience by implementing a link recovery approach that monitors and reroutes quantum resources to maintain service continuity despite link failures\u2014paving the way for scalable and reliable quantum networking infrastructures.<\/td><\/tr>
28<\/td>John Benson<\/td>University of Illinois<\/td>Towards Entanglement Distribution on Low SWaP Mobile Platforms<\/td>Quantum networking applications are growing rapidly (e.g., distributed blind computing, entanglement purification, quantum sensors, quantum key distribution (QKD)). While racing to accommodate these applications on existing quantum networks, we must also continue to expand these networks to include diverse multi-nodal channels in order to achieve a global secure quantum network. Currently, many fiber-based and free-space fixed nodes exist, including several large, mobile, high-altitude nodes (e.g., satellites, planes, weather balloons). However, the niche of rapidly deployable low size, weight, and power (SWaP) nodes have not been developed. We previously demonstrated the first finite-key secure drone and vehicle QKD links, and our current research expands this to low-SWaP mobile platforms supporting entanglement distribution with rates up to 1.5 kbit\/s. We discuss our progress on remote clock synchronization, source characterization, and pointing and tracking upgrades, as well as efforts to increase node separation distance and perform day-time operations.<\/td><\/tr>
6<\/td>Lexus Brinkley-Tapp
and
Jaclyn Claiborne<\/td>		Meharry Medical College<\/td>Adaptive QAOA Framework for Routing and Scheduling in Quantum Networks<\/td>Quantum communication networks require efficient solutions for routing, traffic scheduling, and infrastructure placement, especially as network sizes scale beyond classical optimization capabilities. This research presents a novel QAOA-based framework that integrates adaptive parameter selection and problem-specific mixers, specifically designed for the unique topologies of quantum networks.
By reformulating network management tasks as combinatorial optimization problems and mapping them to quantum circuits, the methodology systematically explores solution quality in simulated environments ranging from 10 to 20 nodes. Implemented in Qiskit and benchmarked against leading classical approaches, the proposed framework demonstrates improved resource allocation efficiency and reduced congestion under increasing network complexity. These results underscore the promise of quantum-enhanced optimization for addressing emerging scalability challenges in communication infrastructure and pave the way for practical deployment of quantum networking systems in real-world settings.<\/td><\/tr>
14<\/td>Joe Chapman<\/td>Oak Ridge National Laboratory<\/td>Strengthening Networks: Quantum Networking with Regional Partners<\/td>Quantum networking is all about making high-quality quantum-grade connections. In this project, we aimed to make twotypes of high-quality connections.
(1) To build a better relationship and foothold in Chattanooga, we aimed to work with partners there to share our expertise (2) Develop hardware for a collaborative demonstration of robust multi-channel polarization entanglement distribution with automated polarization compensation (APC) connecting multiple nodes (up to 150 pairs) over deployed fiber.
The results of this work were published in Ref. [1] and the newly developed automated polarization compensation was disclosed as an ORNL invention and patented [2].<\/td><\/tr>
2<\/td>James Dicarlo<\/td>University of Illinois<\/td>Quantum-entangled SPectrometer using Infra-Red Interference Technology (Q-SPIRIT)<\/td>Our Quantum-entangled SPectrometer using Infra-Red Interference Technology (Q-SPIRIT) platform aims to realize a low size, weight, and power (SWaP) spectroscopy unit for detecting infrared (IR) wavelength gas absorption spectra by leveraging quantum entanglement and interference techniques. We create a source of highly non-degenerate VIS\/IR photon pairs via spontaneous parametric down conversion (SPDC). We retroreflect the pump and the photons produced in the first pass back through the crystal, making the photon pairs indistinguishable. We place an IR-absorbing material in the IR photon\u2019s arm of the interferometer. If IR photons are being absorbed, the visibility at the VIS detector will be degraded, causing VIS photons to be produced. We detect the visible light using a VIS low-light level spectrometer, quantifying the IR absorption, thus allowing the use of high-sensitivity cost-effective visible-wavelength (VIS) detectors, which are widely available and do not require cryogenic cooling – contrary to typical IR spectroscopy.<\/td><\/tr>
12<\/td>Matthew Feldman<\/td>Oak Ridge National Laboratory<\/td>Photonic Quantum Computing at ORNL<\/td>Oak Ridge National Laboratory is advancing photonic continuous-variable quantum computing (CVQC) by engineering entangled light via four-wave mixing in 85Rb vapor to generate multimode entangled states and by pursuing complementary circuit- and measurement-based paradigms. We demonstrate the use of entangled twin beams as a resource for quantum compiling to accelerate learning of Gaussian unitaries\u2014achieving up to 3.6\u00d7 reduction in time-to-solution and ~5.4\u00d7 precision gain. We are developing a CV cluster-state platform based on spatial modes to establish the requisite intermode quantum correlations for scalable, one-way quantum computing. Together, these capabilities provide the resources needed to minimize quantum circuit depth, reduce effective error, enable variationally optimized sensing and characterization of quantum materials, and provide a testbed for universal one-way CVQC. Our roadmap targets universal CV compilers for multi-parameter unitaries, validation of multipartite entanglement, and implementation of CV error correction, charting a path to mission-relevant quantum advantage on photonic quantum hardware.<\/td><\/tr>
15<\/td>Igor Gaidai<\/td>University of Tennessee, Chattanooga<\/td>Cluster Swaps: Efficient Preparation of Clustered Sparse Quantum States via Amplitude-Permutation Synthesis<\/td>In this work we consider a novel heuristic decomposition algorithm for n-qubit gates that implement specified amplitude permutations on sparse states with m non-zero amplitudes. These gates can be useful as an algorithmic primitive for higher-order algorithms. We demonstrate this by showing how it can be used as a building block for a novel sparse state preparation algorithm, Cluster Swaps, which is able to significantly reduce CX gate count compared to alternative methods of state preparation considered in this paper when the target states are clustered, i.e. such that there are many pairs of non-zero amplitude basis states whose Hamming distance is 1. Cluster Swaps can be useful for amplitude encoding of sparse data vectors in quantum machine learning applications.<\/td><\/tr>
23<\/td>Rong Ge<\/td>Clemson University<\/td>Hardware-Aware Quantum Circuit Synthesis<\/td>Effectively leveraging quantum computing requires generating and manipulating a desired quantum state using a quantum circuit. Existing approaches to quantum circuit synthesis (QCS) are limited by the exponential complexity of circuit verification via quantum simulation. Diffusion models offer a promising alternative, as they circumvent the need for quantum simulation during training; however, prior work has largely focused on unconstrained circuits.

In this work, we present a hardware-aware approach to QCS that incorporates hardware topology and the physical constraints of real quantum machines. Our method conditions diffusion models on hardware topology and introduces novel techniques to reduce the topology search space. Compared to a state-of-the-art hardware-agnostic QCS model, our approach achieves up to an 8\u00d7 higher success rate, demonstrating the necessity of hardware-aware QCS.<\/td><\/tr>
7<\/td>Timur Javid<\/td>University of Illinois<\/td>Variational Quantum Optimization with Optical Polarization Qubits<\/td>The potential of quantum communication is currently limited by noisy hardware. Variational quantum optimization (VQO) methods offer a pathway towards improved quantum network performance by enabling adaptive and hardware-agnostic optimization of system parameters. Utilizing hybrid quantum-classical algorithms, VQO techniques are well-suited to seek optimal hardware settings in the presence of unknown and changing noise. We investigate the applicability of VQO methods for optimizing noisy quantum communication hardware involving polarization-encoded optical qubits. We report our experimental results illustrating that VQO methods can automatically establish quantum communication protocols, such as two-state discrimination or random-access coding, performed on hardware in the presence of noise. We also investigate experimental trade-offs between different gradient-estimation methods, such as finite differences and the parameter-shift rule. Our results provide insights into the applicability of VQO methods for increasing the robustness of optical quantum networks against detrimental effects from non-ideal noisy hardware.<\/td><\/tr>
24<\/td>Umesh Kumar<\/td>Oak Ridge National Laboratory<\/td>Unveiling In-Gap States and Majorana Zero Modes in Superconductor\u2013Topological Insulator Bilayer model<\/td>Interfaces between topological insulators (TIs) and superconductors (SCs) are exciting platforms for realizing Majorana zero modes (MZMs). We study a bilayer system where the surface states of a three-dimensional TI couple to an s-wave SC. By tuning the interlayer tunneling strength, we find that the proximity-induced gap shifts in momentum space, producing interference effects that generate spatial oscillations in in-gap states. Introducing a magnetic vortex reveals the coexistence of MZMs and Caroli\u2013de Gennes\u2013Matricon (CdGM) modes. Stronger hybridization increases the separation between these modes, enhancing the isolation and stability of MZMs, which is critical in the search for these states. Spin- and spatially resolved wavefunctions also display unconventional angular momentum asymmetries, distinct from ordinary s-wave superconductors. Our results provide experimentally relevant predictions for identifying and stabilizing MZMs in SC\u2013TI heterostructures.<\/td><\/tr>
26<\/td>Phil Lotshaw<\/td>Oak Ridge National Laboratory<\/td>Solving optimization problems with Quantum Computers<\/td>Quantum computers may offer advantages for solving difficult combinatorial optimization problems. I study the performance and behaviors of quantum algorithms, including the Quantum Approximate Optimization Algorithm (QAOA), in solving instances of the NP-hard Maximum-Cut problem. Performing an exhaustive analysis of graphs with 9 or fewer vertices [1], I find that low-depth QAOA can outperform the lower bound of the conventional Goemann\u2019s-Williamson algorithm, and that the optimized quantum circuits display consistent patterns between instances that can significantly reduce the expense of quantum circuit optimization [2]. To assess the expected performance and scaling under noisy conditions of model quantum hardware, I perform a resource estimate which indicates hardware with limited qubit connectivity is expected to face a significant scaling barrier due to prohibitive SWAP gate scaling on large instances [3]. To address this a new circuit ansatz is developed to identify optimal solutions using far fewer quantum circuit operations [4]. Overall, the results showcase promise for quantum combinatorial optimization as well as limitations to be addressed in future research.<\/td><\/tr>
11<\/td>Debarghya Mallick<\/td>Oak Ridge National Laboratory<\/td>Corbino geometry and rotational symmetry breaking of superconductivity in Fe (Te, Se)\/Bi2Te3 thin films<\/td>Emergent physical phenomena like superconductivity are highly promising for advancements in quantum computing and sensing. Among these, topological superconductivity stands out as a revolutionary solution, as it addresses the long-standing challenge of achieving fault-tolerant quantum computing through the realization of robust and resilient qubits. Symmetry breaking in physics often signals remarkable phenomena. In superconductors, rotational symmetry breaking gives rise to nematic superconductivity, theoretically linked to unconventional Cooper pair pairing. Electrical transport experiments are commonly used to probe rotational symmetry breaking, with Corbino geometry being a widely used tool due to its symmetric device design, enabling azimuthally isotropic electron flow and eliminating geometric artifacts. In this work, using epitaxially grown Fe (Te, Se)\/Bi2Te3 thin films, we observe mild six-fold oscillations superposed on dominant two-fold oscillations in the superconducting vortex state. We attribute the two-fold oscillations, surprisingly, to a failure of Corbino geometry in providing truly isotropic electron flow, as confirmed in a polycrystalline s-wave superconductor, MoRe, under similar conditions. By isolating the two-fold background, we uncover intrinsic six-fold oscillations, which we propose originate from interfacial superconductivity contributed by the underlying topological layer, Bi2Te3. These findings challenge conventional assumptions about Corbino geometry and highlight the interplay between topology and superconductivity. Ongoing experiments aim to unravel the precise origins of these intrinsic observations.<\/td><\/tr>
4<\/td>Niels Mandrus<\/td>Rensselaer Polytechnic Institute<\/td>Benchmarking Tunable Data Re-Uploading Quantum Kernels Against RBF Kernels For SVMs<\/td>Quantum Computers have been proposed for machine learning due to their ability to explore high-dimensional feature transforms. Quantum kernels are one such way to map data into a high-dimensional space where a Support Vector Machine may find the optimal separating hyperplane. We propose a novel quantum kernel with trainable parameters that can be optimized to learn a feature map for separable data, thereby improving the performance of Quantum Support Vector Machines. We tested our trainable quantum kernel on both synthetic and real-world data, achieving results that suggest high expressivity similar to that of the Radial Basis Function kernel. Our results indicate a strong need for robust optimization algorithms to improve stability and precision. Our novel kernel delivers a substantial improvement in the search for high-performing quantum kernels.<\/td><\/tr>
9<\/td>Suresh Nair<\/td>INA Solutions Inc<\/td>A Quantum Machine Learning framework for Accelerated Discovery of Novel Properties in 2D Materials<\/td>We propose a hybrid quantum-classical framework to accelerate discovery of novel properties in quantum materials. We will encode the curated ground-truth dataset generated with ORCA as quantum-chemical descriptors into parameterized quantum circuits that underpin a Quantum Machine Learning (QML) model. Training our framework uses a hybrid optimization loop across Qiskit simulators and, where feasible, quantum hardware. We will benchmark this QML model against classical machine learning baselines and density functional theory data to assess scalability, generalization and noise sensitivity. As a complementary path, we will perform variational quantum eigensolver and variational quantum deflation simulations to produce a quantum-native dataset for direct comparison with classically derived training data. By releasing an open-source and reproducible workflow and presenting initial benchmark results, we aim to provide a roadmap showing where quantum machine learning can practically enhance classical materials modeling with applications in energy storage, catalysis, optoelectronics and quantum information science (QIS).<\/td><\/tr>
17<\/td>Benjamin Nussbaum<\/td>University of Illinois<\/td>Postselected entanglement from GaAs quantum dots<\/td>Bright, high-purity sources of entangled photons are critical for efficient quantum communication, quantum sensing, and quantum computing. Entanglement sources leveraging spontaneous parametric down-conversion (SPDC) been prominent in the field, but are limited by their probabilistic nature and the possibility of multi-pair events which. By starting with high purity single photons (g(2)(0)=2.5%) from GaAs quantum dots, we demonstrate an entanglement source that has the potential to outperform SPDC for applications such as entanglement swapping within long-range quantum networks. We alternate the polarization of and delay every other photon, overlapping them on a non-polarizing beam splitter. For the cases where the photons exit different ports of the beamsplitter, we report post-selected entanglement in the state |HV>+|VH> with a singlet fraction exceeding 96%.<\/td><\/tr>
19<\/td>Liam Ramsey<\/td>University of Illinois<\/td>SEAQUE – A Quantum Entanglement Technology Demonstration on the International Space Station<\/td>SEAQUE is a University of Illinois-led polarization entanglement source currently on the International Space Station. It is a tri-national collaboration between the US, the National University of Singapore, and the University of Waterloo in Canada. SEAQUE has demonstrated the highest fidelity entanglement source in space to date, verified via Bell inequality violations and quantum state tomographies. SEAQUE has also begun tests of annealing its APD (Avalanche Photo Diode) single photon detectors as a method to repair accrued radiation damage and improve detector performance.<\/td><\/tr>
1<\/td>Nageswara Rao<\/td>Oak Ridge National Laboratory<\/td>Entanglement Throughput Over Fiber Connections: Measurements and Capacity Estimates<\/td>The throughput of entangled qubit pairs per second (eqps) is a basic performance metric of quantum networks. It is measured using specialized instruments, including photonic entanglement sources and single-photon detectors. Extensive theory has been developed to estimate the capacity of a generic quantum channel, which specifies the maximum achievable eqps over a fiber connection. However, there is a gap in relating these two characterizations due to the disparate nature of mathematical formulae of the channel capacity and specialized eqps measurements. We describe eqps measurements collected over connections of lengths up to 65 km composed of aerial-inground loops, fiber spools, and their hybrid compositions. We estimate the normalized capacity using the transmissivity parameter derived from single photon detector measurements. The results indicate consistency between eqps measurements and their capacity estimates across all three types of fiber connections, and provide insights into relating the parameters of analytic capacity estimates to physical measurements.<\/td><\/tr>
5<\/td>Kevin Roccapriore<\/td>AtomQ<\/td>Solid-State Atomic Qubits at Scale: Manufacturing with Unit-Cell Precision<\/td>All quantum technologies leverage a \u2018quantum building block\u2019 or \u2018quantum bit\u2019 called a qubit. Several different qubit architectures exist: superconducting, trapped ion, neutral atom, solid state, and so on. Manufacturing qubits is accomplished using well-established industry techniques; however, all architectures face significant scaling challenges. In quantum computing, for instance, it is estimated that qubit counts of at least 106 to 109 are required to achieve \u2018quantum utility,\u2019 yet platforms struggle to surpass a few thousand. Here, we address these scaling challenges by introducing and demonstrating a new platform for manufacturing atomic solid-state qubits: the atom-sized electron beam in a scanning transmission electron microscope is exploited to reprogram a material atom-by-atom. This is achieved by advanced control of the electron beam in both hardware and software and allows to deterministically create atomic defects – which function as qubits – at defined lattice sites, enabling the construction of large-scale qubit arrays.<\/td><\/tr>
13<\/td>Bharath Sambasivam<\/td>Virginia Tech<\/td>TEPID-ADAPT: Low-temperature Gibbs state preparation without entropy measurements<\/td>Adaptive variational quantum algorithms have found a wide range of applications in physics and chemistry, especially for ground-state preparation. Quantum systems in reality are at finite temperatures, where the state of interest is the Gibbs state of the Hamiltonian. As a result, it is of great importance to develop methods to prepare Gibbs states, particularly at low temperatures. In this work, we propose a new algorithm to prepare the thermal Gibbs state at low temperatures using a variational approach that is partially adaptive and uses a minimal number of ancillary qubits, without any measurement overhead for estimating the entropy. Additionally, we gain access to the low temperature eigenstates of the Hamiltonian.<\/td><\/tr>
25<\/td>Nirjhar Sarkar<\/td>Oak Ridge National Laboratory<\/td>Disorder Engineering of NbTiN SNSPDs via He Ion Implantation<\/td>We characterize NbTiN superconducting nanowire single-photon detectors (SNSPDs) after local helium-ion implantation using Scanning tunneling microscopy and device transport. Surface probing reveals redeposition of NbTiN grains and enables cleaner superconducting gap spectroscopy, in contrary to the conventional expectation that ion implantation degrades superconductivity. Two-terminal transport measurements reveal under local disorder reduced hysteresis behavior which indicates less latch-prone behavior and improved performance at a given temperature. Transport analysis reveals minor reduction in interfacial cooling strength of the hotspots but near ~50% increase in residual resistivity, indicating enhanced bulk disorder. This is further supported by microwave S11 response shift with disorder, consistent with higher kinetic inductance and longer reset times. Dark-count rate versus bias exhibits a reduced exponential slope, widening the practical operating window of temperature and field. Collectively, these results establish local He\u207a implantation as a reproducible, post-fabrication knob for disorder engineering and performance optimization in NbTiN SNSPDs.<\/td><\/tr>
22<\/td>Andreas Sawadsky<\/td>Quantum Brilliance<\/td>Unlocking Scalable Quantum Acceleration: Multi-QPU Deployment at ORNL<\/td>As quantum computers evolve from laboratory into to  field deployment, scalability and accessibility have become the true measures of progress. Quantum Brilliance is redefining what\u2019s possible with compact, room-temperature quantum accelerators designed to run anywhere \u2014 from the edge to the cloud \u2014 and to work seamlessly with classical systems in hybrid, parallelized computing environments.
Our recent deployment of three Quantum Processing Units (QPUs) at Oak Ridge National Laboratory (ORNL) marks a major step forward: the first on-premise QPU cluster at the facility. This milestone unlocks the ability to experiment with multi-QPU parallelization, driving new approaches to scalable quantum workloads and hybrid HPC integration. Together, these systems demonstrate how portable, energy-efficient quantum hardware can accelerate research, transform computation, and bring the quantum utility within practical reach.<\/td><\/tr>
3<\/td>Katyayani Seal<\/td>Single Quantum Company<\/td>SNSPDs for High Rate Quantum and Photonic Applications with Sub-30 ps Jitter and MHz Gating<\/td>Future quantum photonic information processing and sensing applications require single-photon detectors with exceptional performance. We have developed superconducting nanowire single-photon detectors (SNSPDs) that combine high efficiency with unparalleled timing resolution. Previously, we reported SNSPDs achieving 7.7 ps jitter [2] and system efficiencies exceeding 99.5% [3].
However, maintaining low jitter while avoiding latching at high input photon fluxes (>50\u2013100 MHz) remains a significant challenge. We have designed custom electronic circuits to enhance SNSPD performance under high count rates and implemented a gating solution with speeds exceeding 1 MHz.
Our approach achieves improved timing jitter of <30 ps at high count rates and supports sub-nanosecond gating, opening the door to a wide range of emerging applications. In particular, these new features will be applied to the characterization of high-rate quantum emitters, enhancement of bit rates in specific QKD protocols, and enabling high-speed LiDAR.
[1] Esmaeil Zadeh, I. et al. APL 118.19 (2021).
[2] Esmaeil Zadeh, I. et al. ACS Photonics 7(7), 1780\u20131787 (2020).
[3] Chang, J. et al. APL Photonics 6, 036114 (03 2021).<\/td><\/tr>
16<\/td>Chris Seck<\/td>Oak Ridge National Laboratory<\/td>ORNL Ion Trap Program Overview<\/td>Trapped ion quantum platforms are robust, well-controlled, and well-understood systems in the field of quantum information science (QIS) [1]. With the onset of quantum computers that can run small algorithms, domain scientists have begun testing the efficacy of these devices to deliver useful scientific results, driving strong demand for quantum computers and simulation devices. Multiple quantum computer programming stack development, algorithm development, benchmarking, simulation, computation, sensing, and general quantum computer science projects all started within the last several years at ORNL; demand for quantum resources on-site is rapidly expanding. Here, we provide an overview of the growing trapped ion QIS program and platforms at ORNL. [1] C. D. Bruzewicz et al, \u201cTrapped-ion quantum computing: Progress and challenges,\u201d Applied Physics Reviews 6, 021314 (2019).<\/td><\/tr>
27<\/td>Suparna Seshadri<\/td>Aliro<\/td>Quantum secret sharing using frequency-bin entangled states<\/td>In the realm of multiparty cryptography, secret sharing plays a vital role, allowing secure transmission of sensitive information among designated parties, where the disclosure of a secret becomes possible only when all intended recipients convene and engage in cooperative interaction. Secret sharing ensures that only when all participants collaborate can secret messages be accessed, preventing any single person or insufficient number of participants from obtaining the secret alone. This work demonstrates a setup for an entangled-photon three-user quantum secret sharing protocol using frequency-bin qubits. The implementation realizes the protocol settings and resulting correlations. The setup is designed to support fast, active switching between different bases and state configurations.<\/td><\/tr>
8<\/td>Yueh-Chun Wu<\/td>Oak Ridge National Laboratory<\/td>Nanoscale Excitonic Landscape and Quantum Confinement of in Gated Monolayer Ws2 via Cathodoluminescence<\/td>Engineering excitons properties at the nanoscale is a central challenge in quantum photonics and optoelectronics. While far-field optical spectroscopy has greatly advanced our understanding of excitonic phenomena, Its diffraction-limited resolution yields only spatially average information. In this work, we investigate the excitonic landscape of monolayer WS2 under electrostatic gating using cathodoluminescence (CL) spectroscopy. By leveraging the high spatial resolution of CL, we reveal locally modulated energy shift and intensity of excitonic emission at nanoscale. Moreover, under electron-beam excitation, we observe a peculiar gate-dependent response of excitonic species, attributed to beam-induced charge trapping in the hBN dielectric. This unconventional electrostatic doping mechanism enables the formation of a confinement potential of exciton, giving rise to a localized exciton channel that can be directly visualized through CL nanoscopy. Our findings elucidate the luminescence behavior of monolayer semiconductors under combined e-beam excitation and electrostatic gating. This approach provides a route for nanoscale exciton manipulation and opens opportunities for the control of quantum confined excitons in two-dimensional materials.<\/td><\/tr>
21<\/td>Bill Yang<\/td>Western Carolina University<\/td>Shared Authentication using parity Greenberger-Horne-Zeilinger (GHZ) state implement on NISQ hardware<\/td>Few-qubit shallow quantum circuits (FSQC) performing critical tasks that otherwise may not be possible with classic means are attractive high impact near term applications potentially viable on NISQ (Noisy Intermediate-Scale Quantum) hardware currently available. One such quantum circuit is the one that prepares the even parity tripartite Greenberger-Horne-Zeilinger (GHZ) state. This special GHZ state can be used to perform double-blind shared quantum authentication. Here we present both simulation and experiment results obtained by running the FSQC on the actual NISQ hardware in preparing the even parity tripartite GHZ state and discuss the implications of using the current NISQ on the targeted quantum shared authentication applications.<\/td><\/tr>
10<\/td>Yanbao Zhang<\/td>Oak Ridge National Laboratory<\/td>Bell-State Bootstrapping via Spot-Checking<\/td>Bell states, a family of maximally entangled two-qubit states, serve as a foundational resource for a wide range of quantum information tasks, including quantum teleportation, quantum repeaters, and tests of quantum nonlocality. Entangled photon pairs in Bell states can be generated via spontaneous parametric down-conversion, enabling long-distance quantum communication through optical fibers or free-space channels. However, during generation or transmission, the physical degrees of freedom used to encode quantum information, such as polarization, can undergo significant drift in the absence of active control or stabilization. In this work, we introduce a spot-checking method designed to monitor and mitigate drift in state parameters, even when entangled photon sources are provided by semi-trusted third parties. We experimentally demonstrate that this approach effectively compensates for polarization drifts, resulting in robust, high-fidelity generation of polarization-entangled Bell states.<\/td><\/tr>
20<\/td>Huan Zhao<\/td>Oak Ridge National Laboratory<\/td>Quantum Imaging of Spin Dynamics using a Hybrid 2D\/3D System<\/td>The poster highlights diamond NV\u2013based single-spin (T\u2081) relaxometry as a broadly applicable, largely all-optical method to identify, quantify, and map spin-active defects in 2D materials with nanoscale resolution, exemplified by boron vacancies in hBN. This scanning NV cross-relaxometry technique further enables in situ characterization during strain and defect engineering. In addition, our platform supports heterogeneous quantum architectures by decoupling sensing and readout into distinct qubits, thereby leveraging their complementary strengths.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

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Poster Number Poster Presenter Affiliation Poster Title Poster Abstract 18 Muneer Alshowkan Oak Ridge National Laboratory Resilient Entanglement Distribution in a Multihop Quantum Network The evolution of quantum networking requires architectures capable of dynamically reconfigurable entanglement distribution to meet diverse user needs and ensure tolerance against transmission disruptions. We introduce multihop quantum networks to improve<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-657","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/comments?post=657"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/657\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/media?parent=657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":432,"date":"2025-09-04T14:09:50","date_gmt":"2025-09-04T18:09:50","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=432"},"modified":"2025-12-09T14:31:12","modified_gmt":"2025-12-09T19:31:12","slug":"session-chairs","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/session-chairs\/","title":{"rendered":"Session Chairs"},"content":{"rendered":"\n

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Session I: Quantum Networking: Architectures, Applications, and Scalable Links<\/em><\/h2>\n\n\n\n
Highlighting the critical role of Quantum Networking in enabling distributed quantum technologies across computing, sensing, and materials domains, the talks explore orchestration and middleware necessary for running quantum workloads across networked nodes, with a focus on latency, synchronization, and error correction. From a sensing perspective, the discussion covers entanglement distribution for time transfer, navigation, and high-energy physics\u2014where high-fidelity links and ruggedized systems are essential. Advances in materials and photonic integration are also examined, emphasizing transduction, low-loss interfaces, and scalable, CMOS-compatible components that connect qubits to optical fiber. Together, these presentations chart a path toward a functional, scalable quantum internet.<\/h5>\n\n\n\n
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Dr. Nicholas Peters <\/h4>\n\n\n\n

Oak Ridge National Laboratory<\/h5>\n\n\n\n
Dr. Nicholas A. Peters <\/strong>received the B.A. degree summa cum laude in physics and mathematics from Hillsdale College in 2000 and the M.S. and Ph.D. degrees in physics from The University of Illinois Urbana-Champaign in 2002 and 2006, respectively. In 2006, he joined Telcordia Technologies as a Senior Research Scientist, later becoming a Senior Scientist at Applied Communication Sciences. In 2015, he joined Oak Ridge National Laboratory (ORNL) as Senior Research and Development Staff Member and strategic hire. From 2016-2021, he was appointed Joint Faculty Assistant Professor to The Bredesen Center for Interdisciplinary Research and Graduate Education at the University of Tennessee Knoxville. In 2017, he was appointed to lead ORNL’s quantum communications team. In 2019, he became the Group Leader for ORNL’s Quantum Information Science Group. In 2021, he was promoted to Distinguished Research and Development Staff and later that year, inaugural Section Head of the Quantum Information Science Section.<\/h6>\n<\/div><\/div>\n\n\n\n
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Dr. Matthieu Bloch<\/h4>\n\n\n\n

Georgia Tech <\/h5>\n\n\n\n
Matthieu R. Bloch is a Professor in the School of Electrical and Computer Engineering. He received the Engineering degree from Sup\u00e9lec, Gif-sur-Yvette, France, the M.S. degree in Electrical Engineering from the Georgia Institute of Technology, Atlanta, in 2003, the Ph.D. degree in Engineering Science from the Universit\u00e9 de Franche-Comt\u00e9, Besan\u00e7on, France, in 2006, and the Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology in 2008. In 2008-2009, he was a postdoctoral research associate at the University of Notre Dame, South Bend, IN. Since July 2009, Dr. Bloch has been on the faculty of the School of Electrical and Computer Engineering, and from 2009 to 2013 Dr. Bloch was based at Georgia Tech Lorraine. His research interests are in the areas of information theory, error-control coding, wireless communications, and cryptography. Dr. Bloch has served on the organizing committee of several international conferences; he was the chair of the Online Committee of the IEEE Information Theory Society from 2011 to 2014, an Associate Editor for the IEEE Transactions on Information Theory from 2016 to 2019 and again since 2021, and he has been on the Board of Governors of the IEEE Information Theory Society since 2016 and currently serves as the Senior Past President. He was an Associate Editor for the IEEE Transactions on Information Forensics and Security from 2019 to 2023. He is the co-recipient of the IEEE Communications Society and IEEE Information Theory Society 2011 Joint Paper Award, the 2025 IEEE Joy Thomas Tutorial Paper Award, and the co-author of the textbook Physical-Layer Security: From Information Theory to Security Engineering published by Cambridge University Press.<\/h6>\n<\/div><\/div>\n\n\n\n
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Session II: Quantum Computing Frontiers: Exploring Synergies with Materials, Sensing, and Networking<\/em><\/h2>\n\n\n\n
Quantum computing is rapidly evolving, intersecting with diverse fields that expand its potential and deepen our understanding. This series of sessions explores the dynamic interplay between quantum computing and key areas of science and technology. From leveraging quantum materials to build novel quantum devices, to harnessing qubits as sensitive probes for error detection, and pioneering distributed quantum computing through networking\u2014each topic uncovers new opportunities and challenges. Join us to delve into how quantum computing both benefits from and drives innovation in materials science, sensing technologies, and networked quantum architectures, charting a path toward scalable, practical quantum systems.<\/h5>\n\n\n\n
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Dr. Ryan Bennink <\/h4>\n\n\n\n

Oak Ridge National Laboratory<\/h5>\n\n\n\n
Dr. Ryan Bennink leads the Quantum Computational Science Group at Oak Ridge National Laboratory. With a Ph.D. in optics from the University of Rochester, Ryan joined ORNL in 2004 as a Wigner Fellow where he developed state-of-the-art entangled photon sources for quantum information science applications. For the past 15 years his research has covered a broad range of topics in quantum computer science including algorithms, properties of quantum circuits, characterization of hardware errors, modeling and simulation of fault tolerance, and resource analysis.<\/h6>\n<\/div><\/div>\n\n\n\n
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Dr. George Siopsis <\/h4>\n\n\n\n

University of Tennessee, Knoxville<\/h5>\n\n\n\n
Dr. George Siopsis is a Professor of Physics at the University of Tennessee and a leading researcher in quantum computing and quantum information science. He holds a Ph.D. in Physics, specializing in theoretical high-energy physics, from the California Institute of Technology (Caltech). His research spans quantum algorithms, quantum simulation, and quantum machine learning, with applications implemented on diverse quantum hardware platforms, including superconducting qubits (IBM Q), trapped-ion systems (IonQ, Quantinuum), and neutral atom arrays (QuEra). Dr. Siopsis also established a quantum optics laboratory in partnership with Oak Ridge National Laboratory to advance quantum communications and cryptography. His work is supported by the Department of Energy, National Science Foundation, DARPA, and other federal agencies. He is actively engaged in quantum workforce development and cross-sector collaborations to accelerate the transition from foundational research to scalable quantum<\/h6>\n<\/div><\/div>\n\n\n\n
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Session III: Quantum Sensing at Scale: From Engineered Materials to Intelligent Networks<\/em><\/h2>\n\n\n\n
Quantum sensing is evolving into a system-level science that spans materials, computing, and networking. Talks highlight advances in defect-engineered materials and integrated photonics that enable high-performance sensors with improved stability, bandwidth, and sensitivity. The discussion also covers how sensing data feeds into computational pipelines\u2014supporting model-based control, benchmarking, and error mitigation for quantum technologies. Additionally, the role of sensing at the network edge is examined, where quantum photonic devices enable state-preserving transmission across fiber networks. Together, these perspectives showcase how co-design across domains is pushing the boundaries of scalable and intelligent quantum sensing platforms.<\/h5>\n\n\n\n
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Dr. Mathieu Benoit <\/h4>\n\n\n\n

Oak Ridge National Laboratory<\/h5>\n\n\n\n
Dr. Mathieu Benoit graduated from the University of Montreal in 2008 with a master\u2019s degree in Solid-State Physics, and from the University of Paris XI in 2011 with a Ph.D. in High Energy Physics. His doctoral work focused on the design, simulation, and characterization of hybrid planar pixel detectors for the ATLAS detector\u2019s Insertable B-Layer upgrade at the Large Hadron Collider (LHC). From 2011 to 2020, he was based in Geneva, Switzerland, serving first as a Fellow in CERN\u2019s Linear Collider Detector Group and later with the University of Geneva\u2019s ATLAS group. His research has centered on instrumentation R&D for vertexing and tracking in future electron-positron and hadronic colliders. Over the years, Mathieu has built a strong reputation as an expert in the simulation, design, and characterization of various silicon detectors, including both hybrid and monolithic designs, and he is one of the main authors of the Allpix and Allpix\u00b2 software frameworks for the simulation of semiconductor detectors. He later joined Oak Ridge National Laboratory (ORNL) as R&D staff in the Relativistic Nuclear and High Energy Physics Group, where his current work focuses on the development of LGAD and MAPS detectors for future nuclear and high-energy physics experiments. His research interests span from sensor simulation to characterization and readout, with an emphasis on new detector concepts offering precise timing and spatial resolution, as well as novel detector integration approaches that incorporate AI\/ML techniques and high-bandwidth data transmission and processing methods.<\/h6>\n<\/div><\/div>\n\n\n\n
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Dr. Yishu Wang <\/h4>\n\n\n\n

University of Tennessee, Knoxville<\/h5>\n\n\n\n
Yishu Wang is currently an Assistant Professor at the University of Tennessee at Knoxville, jointly appointed by the Departments of Materials Science and Engineering and of Physics and Astronomy. Before joining UTK in August 2022, she was a postdoctoral fellow of the Institute for Quantum Matter at The Johns Hopkins University. She obtained the Ph.D. degree in Physics from California Institute of Technology in 2018, M.S. degree in Physics from The University of Chicago in 2014, and a B.S. degree in Engineering Physics from Tsinghua University in 2013.<\/h6>\n<\/div><\/div>\n\n\n\n
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Session IV: Quantum Materials by Co-Design: Enabling Scalable Quantum Technologies<\/em><\/h2>\n\n\n\n
The emerging field of co-designed quantum materials plays a critical role in advancing quantum information science. Highlights include quantum phases such as fractional Chern insulators, quantum spin liquids, and chiral superconductors that host non-Abelian excitations essential for fault-tolerant quantum computing. Realizing these phases presents significant challenges, requiring integrated approaches that combine theory, synthesis, and characterization. The discussion also explores how ultrafast light\u2013matter interactions can dynamically control and probe quantum materials, enabling new functionalities and enhanced quantum sensing. Featuring world-leading experts, the session showcases recent breakthroughs and co-design strategies aimed at creating scalable, high-performance quantum systems.<\/h5>\n\n\n\n
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Dr. Zac Ward <\/h4>\n\n\n\n

Oak Ridge National Laboratory<\/h5>\n\n\n\n
T. Zac Ward, Ph.D., is a Senior Scientist and Group Leader of the Functional Hybrid Nanomaterials Group in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory (ORNL). He is an experimental condensed matter physicist whose research is focused on the design, synthesis, and characterization of new materials hosting electronic, magnetic, and optical phenomena relevant to future microelectronic and QIS device applications. He joined ORNL in 2009 as a Eugene P. Wigner Fellow. He is a member of the Journal of Applied Physics advisory board and serves on the American Association for the Advancement of Science\u2019s Physics Section Steering Committee.<\/h6>\n<\/div><\/div>\n\n\n\n
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Dr. Shizeng Lin <\/h4>\n\n\n\n

Los Alamos National Laboratory<\/h5>\n\n\n\n
Shizeng Lin is a theorist specializing in condensed matter physics. He earned his Ph.D. from the University of Tsukuba and the National Institute for Materials Science in Japan. In 2011, Dr. Lin joined Los Alamos National Laboratory (LANL) as a postdoctoral researcher and became a staff scientist in 2014. Since 2022, he has also held a joint appointment as a scientist at the Center for Integrated Nanotechnologies (CINT), a DOE BES-funded user facility. Dr. Lin currently leads a research team investigating diverse frontiers in quantum materials. His contributions have been recognized with the LDRD Early Career Award and the Laboratory Fellow Prize for Outstanding Research.<\/h6>\n<\/div><\/div>\n\n\n\n
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Session V: Quantum Advantage for National Security<\/em><\/h2>\n\n\n\n
As quantum technologies rapidly evolve from theoretical constructs to operational capabilities, their implications for national security are profound and far-reaching. This session will explore how quantum computing, sensing, and communication are poised to transform defense, intelligence, and strategic deterrence. Experts from government, academia, and industry will discuss current initiatives, and the critical role of public-private partnerships in securing quantum leadership.<\/h5>\n\n\n\n
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Craig Moss <\/h4>\n\n\n\n

Oak Ridge National Laboratory<\/h5>\n\n\n\n
Craig Moss is the Director for Defense and Homeland Security Programs in the National Security Sciences Directorate at the Department of Energy\u2019s Oak Ridge National Laboratory in Tennessee. He is responsible for leading, coordinating, and implementing ORNL\u2019s research and development efforts for national security challenges, including operational energy, climate security, and homeland security.  Craig brings together the lab\u2019s signature science capabilities \u2014 including advanced materials, clean energy, neutron science, nuclear sciences, and supercomputing \u2014 for national security applications.  He has over 34 years of experience in national security, including 21 years in the Army prior to joining ORNL. Prior to joining the Oak Ridge National Laboratory in April 2011, he served as a Lieutenant Colonel in the US Army Medical Service Corps.  His final assignment in the Army was as the Medical Chemical, Biological, Radiological, and Nuclear Defense Staff Officer at the Army Office of the Surgeon General.  Prior to that, his assignments included the US Department of Homeland Security\u2019s Domestic Nuclear Detection Office, the Command Health Physicist at the Pentagon Force Protection Agency; and Chief of Health Physics Operations at Walter Reed Army Medical Center.  Craig holds a Master\u2019s degree in radiological health physics from Oregon State University and a Bachelor of Science degree in physics from Austin Peay State University. <\/h6>\n<\/div><\/div>\n\n\n\n
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Dr. Donald Telesca<\/h4>\n\n\n\n

Air Force Research Laboratory<\/h5>\n\n\n\n
Dr. Donald Telesca received his Ph.D. from the University of Connecticut in condensed matter physics.  He began working with the Air Force Research Laboratory (AFRL) in 2011, at the Space Vehicles Directorate in Albuquerque, NM.  His research there focused on the development of radiation hardened electronics for space applications.  In 2013, he moved to the AFRL Information Directorate in Rome NY, where he used his background in device physics to develop cyber hardened systems from the hardware layer, up.  This work was focused on the application of computational diversity to cyber security.  In 2019, he became the Branch Chief of the High Performance Computing branch, where he led a team of 21 researchers investigating novel\/alternative computing architectures.  In 2021, he became the Branch Chief of the Quantum Information Sciences & Technology branch, where he currently oversees a diverse research portfolio focused on developing a deployable heterogeneous quantum enabled network for future AF applications.    <\/h6>\n<\/div><\/div>\n\n\n\n

<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Session I: Quantum Networking: Architectures, Applications, and Scalable Links Highlighting the critical role of Quantum Networking in enabling distributed quantum technologies across computing, sensing, and materials domains, the talks explore orchestration and middleware necessary for running quantum workloads across networked nodes, with a focus on latency, synchronization, and error correction. From a sensing perspective, the<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-432","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/432","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/comments?post=432"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/432\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/media?parent=432"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":475,"date":"2025-08-20T11:24:11","date_gmt":"2025-08-20T15:24:11","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=475"},"modified":"2025-08-22T14:32:32","modified_gmt":"2025-08-22T18:32:32","slug":"organizing-committee","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/organizing-committee\/","title":{"rendered":"Organizing Committee"},"content":{"rendered":"\n

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Dr. Cynthia Jenks<\/a><\/strong><\/h3>\n\n\n\n
SQC 25 Conference Chair<\/strong><\/h5>\n\n\n\n

Associate Laboratory Director Physical Sciences Directorate Oak Ridge National Laboratory<\/p>\n\n\n\n

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Dr. Gina Tourassi<\/a><\/strong><\/h3>\n\n\n\n
SQC 25 Conference Chair<\/strong><\/h5>\n\n\n\n

Associate Laboratory Director Computing and Computational Sciences Directorate Oak Ridge National Laboratory<\/p>\n<\/div><\/div>\n\n\n\n

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Dr. Rob Moore<\/a><\/strong><\/h4>\n\n\n\n
SQC 25 Conference Co-Chair<\/strong><\/h5>\n\n\n\n

Director for the Interconnected Science Ecosystem (INTERSECT) Initiative Physical Sciences Directorate Oak Ridge National Laboratory<\/p>\n<\/div><\/div>\n\n\n\n

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Dr. Mariam Kiran<\/a><\/strong><\/h4>\n\n\n\n
SQC 25 Conference Co-Chair<\/strong><\/h5>\n\n\n\n

Group Leader, Quantum Networking and Communications Group Computing and Computational Sciences Directorate Oak Ridge National Laboratory<\/p>\n<\/div><\/div>\n\n\n\n

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Alysha Tackett<\/a><\/strong><\/h4>\n\n\n\n
SQC 25 Conference Organizer, Logistics Director, and Corporate Partnerships Manager<\/strong><\/h5>\n\n\n\n

Programs and Planning Specialist Computing and Computational Sciences Directorate Oak Ridge National Laboratory<\/p>\n<\/div><\/div>\n\n\n\n

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Lora Wolfe<\/a><\/strong><\/h4>\n\n\n\n
SQC 25 Conference Executive Assistant and Coordinator<\/strong><\/h5>\n\n\n\n

Executive Administrative Assistant Computing and Computational Sciences Directorate Oak Ridge National Laboratory<\/p>\n<\/div><\/div>\n\n\n\n

<\/p>\n\n\n\n

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Dr. Cynthia Jenks SQC 25 Conference Chair Associate Laboratory Director Physical Sciences Directorate Oak Ridge National Laboratory Dr. Gina Tourassi SQC 25 Conference Chair Associate Laboratory Director Computing and Computational Sciences Directorate Oak Ridge National Laboratory Dr. Rob Moore SQC 25 Conference Co-Chair Director for the Interconnected Science Ecosystem (INTERSECT) Initiative Physical Sciences Directorate Oak<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-475","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/comments?post=475"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/475\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/media?parent=475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":441,"date":"2025-07-17T12:47:43","date_gmt":"2025-07-17T16:47:43","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=441"},"modified":"2025-10-15T10:47:15","modified_gmt":"2025-10-15T14:47:15","slug":"hotel-reservations","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/hotel-reservations\/","title":{"rendered":"Hotel Reservations"},"content":{"rendered":"\n

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Marriott Knoxville Downtown<\/a><\/h2>\n\n\n\n
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525 Henley Street, Knoxville, TN 37902<\/h4>\n\n\n\n
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To receive the discounted conference rate, please contact us directly for the hotel booking link. Email: tackettab@ornl.gov<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Marriott Knoxville Downtown 525 Henley Street, Knoxville, TN 37902 To receive the discounted conference rate, please contact us directly for the hotel booking link. Email: tackettab@ornl.gov<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-441","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/441","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/comments?post=441"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/pages\/441\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/sqc25\/wp-json\/wp\/v2\/media?parent=441"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":395,"date":"2025-06-10T15:39:33","date_gmt":"2025-06-10T19:39:33","guid":{"rendered":"https:\/\/events.ornl.gov\/sqc25\/?page_id=395"},"modified":"2025-09-23T15:27:44","modified_gmt":"2025-09-23T19:27:44","slug":"sponsors2","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/sqc25\/sponsors2\/","title":{"rendered":"Sponsors"},"content":{"rendered":"\n

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Thank You to our Corporate Sponsors!<\/strong><\/h2>\n<\/div><\/div>\n\n\n\n
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