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D. Carney, Chaurette, L., Neuenfeld, D., and Semenoff, G., “On the need for soft dressing”, High Energ. Phys. , vol. 121, 2018.
D. Carney, Krnjaic, G., Moore, D. C., Regal, C. A., Afek, G., Bhave, S., Brubaker, B., Corbitt, T., Cripe, J., Crisosto, N., .Geraci, A., Ghosh, S., Harris, J. G. E., Hook, A., Kolb, E. W., Kunjummen, J., Lang, R. F., Li, T., Lin, T., Liu, Z., Lykken, J., Magrini, L., Manley, J., Matsumoto, N., Monte, A., Monteiro, F., Purdy, T., Riedel, C. J., Singh, R., Singh, S., Sinha, K., Taylor, J. M., Qin, J., Wilson, D. J., and Zhao, Y., “Mechanical Quantum Sensing in the Search for Dark Matter”, 2020.
D. Carney, Ghosh, S., Krnjaic, G., and Taylor, J. M., “Proposal for gravitational direct detection of dark matter”, Physical Review D, vol. 102, 2021.
D. Carney, Ghosh, S., Krnjaic, G., and Taylor, J. M., “Gravitational Direct Detection of Dark Matter”, Phys. Rev. D, vol. 102, no. 072003, 2020.
D. Carney, Müller, H., and Taylor, J. M., “Using an Atom Interferometer to Infer Gravitational Entanglement Generation”, PRX Quantum, vol. 2, no. 030330, 2021.
D. Carney and Taylor, J. M., “Strongly incoherent gravity”, 2023.
D. Carney, Müller, H., and Taylor, J. M., “Comment on "Using an atom interferometer to infer gravitational entanglement generation''”, 2021.
M. C. Caro, Huang, H. - Y., Cerezo, M., Sharma, K., Sornborger, A., Cincio, L., and Coles, P. J., “Generalization in quantum machine learning from few training data”, 2021.
J. Carolan and Schaeffer, L., “Succinct Fermion Data Structures”, 2024.
J. Carolan and Poremba, A., “Quantum One-Wayness of the Single-Round Sponge with Invertible Permutations”, To appear in the proceedings of CRYPTO 2024, 2024.
J. Carolan, Gilani, A. Shiraz, and Vempati, M., “Quantum advantage and lower bounds in parallel query complexity”, 2024.
A. L. Carter, O’Reilly, J., Toh, G., Saha, S., Shalaev, M., Goetting, I., and Monroe, C., “Ion trap with in-vacuum high numerical aperture imaging for a dual-species modular quantum computer”, Review of Scientific Instruments, vol. 95, 2024.
S. Chakrabarti, Huang, Y., Li, T., Feizi, S., and Wu, X., “Quantum Wasserstein Generative Adversarial Networks”, Advances in Neural Information Processing Systems (NIPS), vol. 32, 2019.
S. Chakrabarti, Krishnakumar, R., Mazzola, G., Stamatopoulos, N., Woerner, S., and Zeng, W. J., “A Threshold for Quantum Advantage in Derivative Pricing”, Quantum, vol. 5, p. 463, 2021.
S. Chakrabarti, Childs, A. M., Li, T., and Wu, X., “Quantum algorithms and lower bounds for convex optimization”, Quantum, vol. 4, no. 221, 2020.
S. Chakrabarti, Childs, A. M., Hung, S. - H., Li, T., Wang, C., and Wu, X., “Quantum algorithm for estimating volumes of convex bodies”, ACM Transactions on Quantum Computing, vol. 4, 2023.
H. Chan, Katz, J., Nayak, K., Polychroniadou, A., and Shi, E., “More is Less: Perfectly Secure Oblivious Algorithms in the Multi-Server Setting”, 2018.
D. E. Chang, Jiang, L., Gorshkov, A. V., and Kimble, H. J., “Cavity QED with atomic mirrors”, New J. Phys., vol. 14, p. 063003, 2012.
J. Chen, Duan, R., Ji, Z., Ying, M., and Yu, J., “Existence of Universal Entangler”, Journal of Mathematical Physics, vol. 49, no. 1, p. 012103, 2008.
Q. Chen, Du, Y., Zhao, Q., Jiao, Y., Lu, X., and Wu, X., “Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning”, 2022.
J. Chen and Winter, A., “Non-Additivity of the Entanglement of Purification (Beyond Reasonable Doubt) ”, 2012.
J. Chen, Guo, C., Ji, Z., Poon, Y. - T., Yu, N., Zeng, B., and Zhou, J., “Joint product numerical range and geometry of reduced density matrices”, 2016.
J. Chen, Ji, Z., Zeng, B., and Zhou, D. L., “From Ground States to Local Hamiltonians”, Physical Review A, vol. 86, no. 2, 2012.
J. Chen, Johnston, N., Li, C. - K., and Plosker, S., “Quantifying the coherence of pure quantum states”, Physical Review A, vol. 94, no. 4, p. 042313, 2016.
J. Chen, Cubitt, T. S., Harrow, A. W., and Smith, G., “Entanglement can completely defeat quantum noise”, Physical Review Letters, vol. 107, no. 25, 2011.