Publications

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Journal Article
C. Crocker, Lichtman, M., Sosnova, K., Carter, A., Scarano, S., and Monroe, C., High Purity Single Photons Entangled with an Atomic Memory, 2018.
K. Qian, Eldredge, Z., Ge, W., Pagano, G., Monroe, C., Porto, J. V., and Gorshkov, A. V., Heisenberg-Scaling Measurement Protocol for Analytic Functions with Quantum Sensor Networks, Phys. Rev. A, vol. 100, no. 042304, 2019.
Y. Nam, Chen, J. - S., Pisenti, N. C., Wright, K., Delaney, C., Maslov, D., Brown, K. R., Allen, S., Amini, J. M., Apisdorf, J., Beck, K. M., Blinov, A., Chaplin, V., Chmielewski, M., Collins, C., Debnath, S., Ducore, A. M., Hudek, K. M., Keesan, M., Kreikemeier, S. M., Mizrahi, J., Solomon, P., Williams, M., Wong-Campos, J. David, Monroe, C., and Kim, J., Ground-state energy estimation of the water molecule on a trapped ion quantum computer, 2019.
L. Egan, Debroy, D. M., Noel, C., Risinger, A., Zhu, D., Biswas, D., Newman, M., Li, M., Brown, K. R., Cetina, M., and Monroe, C., Fault-Tolerant Operation of a Quantum Error-Correction Code, 2020.
J. O'Reilly, Toh, G., Goetting, I., Saha, S., Shalaev, M., Carter, A., Risinger, A., Kalakuntla, A., Li, T., Verma, A., and Monroe, C., Fast photon-mediated entanglement of continuously-cooled trapped ions for quantum networking, 2024.
P. Richerme, Senko, C., Smith, J., Lee, A., Korenblit, S., and Monroe, C., Experimental Performance of a Quantum Simulator: Optimizing Adiabatic Evolution and Identifying Many-Body Ground States , Physical Review A, vol. 88, no. 1, 2013.
D. V. Else, Monroe, C., Nayak, C., and Yao, N. Y., Discrete Time Crystals, Annual Review of Condensed Matter Physics , vol. 11, pp. 467-499, 2020.
D. Awschalom, Berggren, K. K., Bernien, H., Bhave, S., Carr, L. D., Davids, P., Economou, S. E., Englund, D., Faraon, A., Fejer, M., Guha, S., Gustafsson, M. V., Hu, E., Jiang, L., Kim, J., Korzh, B., Kumar, P., Kwiat, P. G., Lončar, M., Lukin, M. D., Miller, D. A. B., Monroe, C., Nam, S. Woo, Narang, P., and Orcutt, J. S., Development of Quantum InterConnects for Next-Generation Information Technologies, 2019.
N. Solmeyer, Linke, N. M., Figgatt, C., Landsman, K. A., Balu, R., Siopsis, G., and Monroe, C., Demonstration of Bayesian quantum game on an ion trap quantum computer, 2018.
Q. Wang, Zhukas, L., Miao, Q., Dalvi, A. S., Love, P. J., Monroe, C., Chong, F. T., and Ravi, G. Subramania, Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a Trapped-Ion Quantum Computer, 2024.
D. Zhu, Cian, Z. - P., Noel, C., Risinger, A., Biswas, D., Egan, L., Zhu, Y., Green, A. M., Alderete, C. Huerta, Nguyen, N. H., Wang, Q., Maksymov, A., Nam, Y., Cetina, M., Linke, N. M., Hafezi, M., and Monroe, C., Cross-Platform Comparison of Arbitrary Quantum Computations, 2021.
F. Liu, Lundgren, R., Titum, P., Pagano, G., Zhang, J., Monroe, C., and Gorshkov, A. V., Confined Dynamics in Long-Range Interacting Quantum Spin Chains, Phys. Rev. Lett., vol. 122 , no. 150601, 2019.
C. Figgatt, Maslov, D., Landsman, K. A., Linke, N. M., Debnath, S., and Monroe, C., Complete 3-Qubit Grover Search on a Programmable Quantum Computer, Nature Communications, accepted, 2017.
M. P. Zaletel, Lukin, M., Monroe, C., Nayak, C., Wilczek, F., and Yao, N. Y., Colloquium: Quantum and Classical Discrete Time Crystals, 2023.
K. R. Brown, Kim, J., and Monroe, C., Co-Designing a Scalable Quantum Computer with Trapped Atomic Ions, 2016.
K. Sosnova, Carter, A., and Monroe, C., The Character of Motional Modes for Entanglement and Sympathetic Cooling of Mixed-Species Trapped Ion Chains, 2020.
P. Alsing, Battle, P., Bienfang, J. C., Borders, T., Brower-Thomas, T., Carr, L. D., Chong, F., Dadras, S., DeMarco, B., Deutsch, I., Figueroa, E., Freedman, D., Everitt, H., Gauthier, D., Johnston-Halperin, E., Kim, J., Kira, M., Kumar, P., Kwiat, P., Lekki, J., Loiacono, A., Lončar, M., Lowell, J. R., Lukin, M., Merzbacher, C., Miller, A., Monroe, C., Pollanen, J., Pappas, D., Raymer, M., Reano, R., Rodenburg, B., Savage, M., Searles, T., and Ye, J., Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap, 2023.