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A. Rad, Schuckert, A., Crane, E., Nambiar, G., Fei, F., Wyrick, J., Silver, R. M., Hafezi, M., Davoudi, Z., and Gullans, M., “Analog Quantum Simulator of a Quantum Field Theory with Fermion-Spin Systems in Silicon”, 2024.
D. Hangleiter, Carolan, J., and Thébault, K. P. Y., Analogue Quantum Simulation: A New Instrument for Scientific Understanding. Springer Nature, 2022, pp. 83-102.
X. You, Chakrabarti, S., Chen, B., and Wu, X., “Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels”, 2023.
J. Chen and Ying, M., “Ancilla-Assisted Discrimination of Quantum Gates”, 2008.
A. Petrov, Tiesinga, E., and Kotochigova, S., “Anisotropy induced Feshbach resonances in a quantum dipolar gas of magnetic atoms ”, Physical Review Letters, vol. 109, no. 10, 2012.
E. A. Goldschmidt, Boulier, T., Brown, R. C., Koller, S. B., Young, J. T., Gorshkov, A. V., Rolston, S. L., and Porto, J. V., “Anomalous broadening in driven dissipative Rydberg systems”, Physical Review Letters, vol. 116, no. 11, p. 113001, 2016.
L. Jiang, Brennen, G. K., Gorshkov, A. V., Hammerer, K., Hafezi, M., Demler, E., Lukin, M. D., and Zoller, P., “Anyonic interferometry and protected memories in atomic spin lattices”, Nature Physics, vol. 4, no. 6, pp. 482 - 488, 2008.
C. J. Cao and Lackey, B., “Approximate Bacon-Shor Code and Holography”, Journal of High Energy Physics, vol. 2021, 2021.
M. Paini and Kalev, A., “An approximate description of quantum states”, 2019.
A. Bapat and Jordan, S. P., “Approximate optimization of MAXCUT with a local spin algorithm”, 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.
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.
S. Dontha, Tan, S. Jie Samuel, Smith, S., Choi, S., and Coudron, M., “Approximating Output Probabilities of Shallow Quantum Circuits which are Geometrically-local in any Fixed Dimension”, Leibniz International Proceedings in Informatics (LIPIcs), vol. 232, p. 9:1--9:17, 2022.
S. P. Jordan and Alagic, G., “Approximating the Turaev-Viro Invariant of Mapping Tori is Complete for One Clean Qubit”, In Proceedings of the Sixth Conference on Theory of Quantum Computation, Communication and Cryptography (TQC11). 2011.
D. H. Wu and Albert, V. V., “Approximating the two-mode two-photon Rabi model”, Physics Letters A, vol. 422, 2022.
G. Alagic, Jordan, S. P., Koenig, R., and Reichardt, B. W., “Approximating Turaev-Viro 3-manifold invariants is universal for quantum computation ”, Physical Review A, vol. 82, no. 4, 2010.
Y. Kharkov, Ivanova, A., Mikhantiev, E., and Kotelnikov, A., “Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers”, 2022.
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.
F. Liu, Garrison, J. R., Deng, D. - L., Gong, Z. - X., and Gorshkov, A. V., “Asymmetric Particle Transport and Light-Cone Dynamics Induced by Anyonic Statistics”, Phys. Rev. Lett, vol. 121, no. 250404, 2018.
A. M. Childs, Leung, D. W., Verstraete, F., and Vidal, G., “Asymptotic entanglement capacity of the Ising and anisotropic Heisenberg interactions ”, 2002.
S. S. Bullock, O'Leary, D. P., and Brennen, G. K., “Asymptotically Optimal Quantum Circuits for d-level Systems”, Physical Review Letters, vol. 94, no. 23, 2005.
J. S. Douglas, Habibian, H., Gorshkov, A. V., Kimble, H. J., and Chang, D. E., “Atom induced cavities and tunable long-range interactions between atoms trapped near photonic crystals”, Nature Photon. 9, 326 (2015), 2015.
O. Firstenberg, Peyronel, T., Liang, Q. - Y., Gorshkov, A. V., Lukin, M. D., and Vuletic, V., “Attractive Photons in a Quantum Nonlinear Medium”, Nature (London), vol. 502, p. 71, 2013.
R. Yousefzadeh and O'Leary, D. P., “Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis”, 2020.