Publications
2023
Adams, D., Baxter, D., Day, H., Essig, R., & Kahn, Y. (2023). Measuring the Migdal effect in semiconductors for dark matter detection. Physical Review D, 107(4), Article L041303. https://doi.org/10.1103/PhysRevD.107.L041303
2023
Agarwal, A., Bartusek, J., Khurana, D., & Kumar, N. (2023). A New Framework for Quantum Oblivious Transfer. In C. Hazay, & M. Stam (Eds.), Advances in Cryptology – EUROCRYPT 2023 - 42nd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Proceedings (pp. 363-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14004 LNCS). Springer. https://doi.org/10.1007/978-3-031-30545-0_13
2023
Akers, C., Faulkner, T., Lin, S., & Rath, P. (2023). Reflected entropy in random tensor networks. Part II. A topological index from canonical purification. Journal of High Energy Physics, 2023(1), Article 67. https://doi.org/10.1007/JHEP01(2023)067
2023
Alcorn, F. M., Jain, P. K., & van der Veen, R. (2023). Time-resolved transmission electron microscopy for nanoscale chemical dynamics. Nature Reviews Chemistry, 7(4), 256-272. https://doi.org/10.1038/s41570-023-00469-y
2023
Anandwade, R., Singhal, Y., Paladugu, S. N. M., Martello, E., Castle, M., Agrawal, S., Carlson, E., Battle-Mcdonald, C., Ozawa, T., Price, H. M., & Gadway, B. (2023). Synthetic mechanical lattices with synthetic interactions. Physical Review A, 108(1), Article 012221. https://doi.org/10.1103/PhysRevA.108.012221
2023
Arnold, N. T., Victora, M., Goggin, M. E., & Kwiat, P. G. (2023). Free-space photonic quantum memory. In P. R. Hemmer, & A. L. Migdall (Eds.), Quantum Computing, Communication, and Simulation III Article 1244606 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12446). SPIE. https://doi.org/10.1117/12.2649350
2023
Athreya, N. B. M., Xiong, M., Chakraborty, R., Crawford-Eng, H. T., & Leburton, J. P. (2023). Molecular Dynamics and Electrical Modeling of Multi-Layered Nanopores of MoS2 and Hexagonal Boron Nitride for Biosensing of DNA. ACS Applied Nano Materials, 6(6), 4406-4416. https://doi.org/10.1021/acsanm.2c05495
2023
Banks, T., & Draper, P. (2023). Comments on the entanglement spectrum of de Sitter space. Journal of High Energy Physics, 2023(1), Article 135. https://doi.org/10.1007/JHEP01(2023)135
2023
Benabou, J. N., Foster, J. W., Kahn, Y., Safdi, B. R., & Salemi, C. P. (2023). Lumped-element axion dark matter detection beyond the magnetoquasistatic limit. Physical Review D, 108(3), Article 035009. https://doi.org/10.1103/PhysRevD.108.035009
2023
Bitansky, N., Khurana, D., & Paneth, O. (2023). WEAK ZERO-KNOWLEDGE BEYOND THE BLACK-BOX BARRIER. SIAM Journal on Computing, 52(2), 156-199. https://doi.org/10.1137/20M1319565
2023
Boyd, C., Hochberg, Y., Kahn, Y., Kramer, E. D., Kurinsky, N., Lehmann, B. V., & Yu, T. C. (2023). Directional detection of dark matter with anisotropic response functions. Physical Review D, 108(1), Article 015015. https://doi.org/10.1103/PhysRevD.108.015015
2023
Braga, B. M., & Oikhberg, T. (2023). Coarse geometry of operator spaces and complete isomorphic embeddings into l1 and c -sums of operator spaces. Mathematische Zeitschrift, 304(3), Article 52. https://doi.org/10.1007/s00209-023-03314-6
2023
Chakraborty, R., Xiong, M., Athreya, N., Tabatabaei, S. K., Milenkovic, O., & Leburton, J. P. (2023). Solid-State MoS2 Nanopore Membranes for Discriminating among the Lengths of RNA Tails on a Double-Stranded DNA: A New Simulation-Based Differentiating Algorithm. ACS Applied Nano Materials, 6(6), 4651-4660. https://doi.org/10.1021/acsanm.3c00129
2023
Chalise, D., & Cahill, D. G. (2023). Highly Sensitive and High-Throughput Magnetic Resonance Thermometry of Fluids Using Superparamagnetic Nanoparticles. Physical Review Applied, 19(1), Article 014055. https://doi.org/10.1103/PhysRevApplied.19.014055
2023
Chen, W., Zhan, X., Yuan, R., Pidaparthy, S., Yong, A. X. B., An, H., Tang, Z., Yin, K., Patra, A., Jeong, H., Zhang, C., Ta, K., Riedel, Z. W., Stephens, R. M., Shoemaker, D. P., Yang, H., Gewirth, A. A., Braun, P. V., Ertekin, E., ... Chen, Q. (2023). Formation and impact of nanoscopic oriented phase domains in electrochemical crystalline electrodes. Nature Materials, 22(1), 92-99. https://doi.org/10.1038/s41563-022-01381-4
2023
Chitambar, E., George, I., Doolittle, B., & Junge, M. (2023). The Communication Value of a Quantum Channel. IEEE Transactions on Information Theory, 69(3), 1660-1679. https://doi.org/10.1109/TIT.2022.3218540
2023
Choi, J., Shaw, A. L., Madjarov, I. S., Xie, X., Finkelstein, R., Covey, J. P., Cotler, J. S., Mark, D. K., Huang, H. Y., Kale, A., Pichler, H., Brandão, F. G. S. L., Choi, S., & Endres, M. (2023). Preparing random states and benchmarking with many-body quantum chaos. Nature, 613(7944), 468-473. https://doi.org/10.1038/s41586-022-05442-1
2023
Conrad, A., Isaac, S., Cochran, R., Sanchez-Rosales, D., Rezaei, T., Javid, T., Schroeder, A. J., Golba, G., Gauthier, D., & Kwiat, P. (2023). Drone-Based Quantum Communication Links. In P. R. Hemmer, & A. L. Migdall (Eds.), Quantum Computing, Communication, and Simulation III Article 124460H (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12446). SPIE. https://doi.org/10.1117/12.2647923
2023
Cui, J., An, F., Qian, J., Wu, Y., Sloan, L. L., Pidaparthy, S., Zuo, J. M., & Cao, Q. (2023). CMOS-compatible electrochemical synaptic transistor arrays for deep learning accelerators. Nature Electronics, 6(4), 292-300. https://doi.org/10.1038/s41928-023-00939-7
2023
Dani, R., Kundu, S., & Makri, N. (2023). Coherence Maps and Flow of Excitation Energy in the Bacterial Light Harvesting Complex 2. Journal of Physical Chemistry Letters, 14(16), 3835-3843. https://doi.org/10.1021/acs.jpclett.3c00670
2023
Dhingra, P., Muhowski, A. J., Li, B. D., Sun, Y., Hool, R. D., Wasserman, D. M., & Lee, M. L. (2023). Low-threshold visible InP quantum dot and InGaP quantum well lasers grown by molecular beam epitaxy. Journal of Applied Physics, 133(10), Article 103101. https://doi.org/10.1063/5.0136621
2023
Ding, W., Xu, C., Arief, M., Lin, H., Li, B., & Zhao, D. (2023). A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Transactions on Intelligent Transportation Systems, 24(7), 6971-6988. https://doi.org/10.1109/TITS.2023.3259322
2023
Ding, W., Lin, H., Li, B., & Zhao, D. (2023). CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. Proceedings of Machine Learning Research, 205, 812-823.
2023
Dong, X. L., Li, B., Stoyanovich, J., Tung, A. K. H., Weikum, G., Halevy, A., & Tan, W. C. (2023). Personal Data for Personal Use: Vision or Reality? In SIGMOD 2023 - Companion of the 2023 ACM/SIGMOD International Conference on Management of Data (pp. 263-264). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery. https://doi.org/10.1145/3555041.3589378
2023
Doolittle, B., Bromley, R. T., Killoran, N., & Chitambar, E. (2023). Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks. IEEE Transactions on Quantum Engineering, 4, Article 4100127. https://doi.org/10.1109/TQE.2023.3243849