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2020
A. Bapat and Jordan, S. P., Approximate optimization of MAXCUT with a local spin algorithm, 2020.
J. T. Young, Bienias, P., Belyansky, R., Kaufman, A. M., and Gorshkov, A. V., Asymmetric blockade and multi-qubit gates via dipole-dipole interactions, 2020.
T. Faulkner, Hollands, S., Swingle, B., and Wang, Y., Approximate recovery and relative entropy I. general von Neumann subalgebras, 2020.
T. Faulkner, Hollands, S., Swingle, B., and Wang, Y., Approximate recovery and relative entropy I. general von Neumann subalgebras, 2020.
J. P. Zwolak, McJunkin, T., Kalantre, S. S., Dodson, J. P., MacQuarrie, E. R., Savage, D. E., Lagally, M. G., Coppersmith, S. N., Eriksson, M. A., and Taylor, J. M., Auto-tuning of double dot devices in situ with machine learning, Phys. Rev. Applied , vol. 13, no. 034075 , 2020.
Y. Nam, Su, Y., and Maslov, D., Approximate Quantum Fourier Transform with O(nlog(n)) T gates, npj Quantum Information , vol. 6, no. 26, 2020.
S. Xu and Swingle, B., Accessing scrambling using matrix product operators, Nature Physics , vol. 16, no. 2, pp. 199-204, 2020.
R. Yousefzadeh and O'Leary, D. P., Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis, 2020.