| 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 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—paving the way for scalable and reliable quantum networking infrastructures. |
| 28 | John Benson | University of Illinois | Towards Entanglement Distribution on Low SWaP Mobile Platforms | 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. |
| 6 | Lexus Brinkley-Tapp and Jaclyn Claiborne | Meharry Medical College | Adaptive QAOA Framework for Routing and Scheduling in Quantum Networks | 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. |
| 14 | Joe Chapman | Oak Ridge National Laboratory | Strengthening Networks: Quantum Networking with Regional Partners | 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]. |
| 2 | James Dicarlo | University of Illinois | Quantum-entangled SPectrometer using Infra-Red Interference Technology (Q-SPIRIT) | 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’s 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. |
| 12 | Matthew Feldman | Oak Ridge National Laboratory | Photonic Quantum Computing at ORNL | 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—achieving up to 3.6× reduction in time-to-solution and ~5.4× 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. |
| 15 | Igor Gaidai | University of Tennessee, Chattanooga | Cluster Swaps: Efficient Preparation of Clustered Sparse Quantum States via Amplitude-Permutation Synthesis | 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. |
| 23 | Rong Ge | Clemson University | Hardware-Aware Quantum Circuit Synthesis | 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× higher success rate, demonstrating the necessity of hardware-aware QCS. |
| 7 | Timur Javid | University of Illinois | Variational Quantum Optimization with Optical Polarization Qubits | 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. |
| 24 | Umesh Kumar | Oak Ridge National Laboratory | Unveiling In-Gap States and Majorana Zero Modes in Superconductor–Topological Insulator Bilayer model | 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–de Gennes–Matricon (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–TI heterostructures. |
| 26 | Phil Lotshaw | Oak Ridge National Laboratory | Solving optimization problems with Quantum Computers | 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’s-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. |
| 11 | Debarghya Mallick | Oak Ridge National Laboratory | Corbino geometry and rotational symmetry breaking of superconductivity in Fe (Te, Se)/Bi2Te3 thin films | 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. |
| 4 | Niels Mandrus | Rensselaer Polytechnic Institute | Benchmarking Tunable Data Re-Uploading Quantum Kernels Against RBF Kernels For SVMs | 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. |
| 9 | Suresh Nair | INA Solutions Inc | A Quantum Machine Learning framework for Accelerated Discovery of Novel Properties in 2D Materials | 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). |
| 17 | Benjamin Nussbaum | University of Illinois | Postselected entanglement from GaAs quantum dots | 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%. |
| 19 | Liam Ramsey | University of Illinois | SEAQUE – A Quantum Entanglement Technology Demonstration on the International Space Station | 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. |
| 1 | Nageswara Rao | Oak Ridge National Laboratory | Entanglement Throughput Over Fiber Connections: Measurements and Capacity Estimates | 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. |
| 5 | Kevin Roccapriore | AtomQ | Solid-State Atomic Qubits at Scale: Manufacturing with Unit-Cell Precision | All quantum technologies leverage a ‘quantum building block’ or ‘quantum bit’ 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 ‘quantum utility,’ 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. |
| 13 | Bharath Sambasivam | Virginia Tech | TEPID-ADAPT: Low-temperature Gibbs state preparation without entropy measurements | 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. |
| 25 | Nirjhar Sarkar | Oak Ridge National Laboratory | Disorder Engineering of NbTiN SNSPDs via He Ion Implantation | 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⁺ implantation as a reproducible, post-fabrication knob for disorder engineering and performance optimization in NbTiN SNSPDs. |
| 22 | Andreas Sawadsky | Quantum Brilliance | Unlocking Scalable Quantum Acceleration: Multi-QPU Deployment at ORNL | 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’s possible with compact, room-temperature quantum accelerators designed to run anywhere — from the edge to the cloud — 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. |
| 3 | Katyayani Seal | Single Quantum Company | SNSPDs for High Rate Quantum and Photonic Applications with Sub-30 ps Jitter and MHz Gating | 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 (>50–100 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), 1780–1787 (2020). [3] Chang, J. et al. APL Photonics 6, 036114 (03 2021). |
| 16 | Chris Seck | Oak Ridge National Laboratory | ORNL Ion Trap Program Overview | 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, “Trapped-ion quantum computing: Progress and challenges,” Applied Physics Reviews 6, 021314 (2019). |
| 27 | Suparna Seshadri | Aliro | Quantum secret sharing using frequency-bin entangled states | 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. |
| 8 | Yueh-Chun Wu | Oak Ridge National Laboratory | Nanoscale Excitonic Landscape and Quantum Confinement of in Gated Monolayer Ws2 via Cathodoluminescence | 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. |
| 21 | Bill Yang | Western Carolina University | Shared Authentication using parity Greenberger-Horne-Zeilinger (GHZ) state implement on NISQ hardware | 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. |
| 10 | Yanbao Zhang | Oak Ridge National Laboratory | Bell-State Bootstrapping via Spot-Checking | 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. |
| 20 | Huan Zhao | Oak Ridge National Laboratory | Quantum Imaging of Spin Dynamics using a Hybrid 2D/3D System | The poster highlights diamond NV–based single-spin (T₁) 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. |