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D. Carney, Müller, H., and Taylor, J. M., Comment on "Using an atom interferometer to infer gravitational entanglement generation'', 2021.
F. J. Marmolejo-Cossío, Brigham, E., Sela, B., and Katz, J., Competing (Semi)-Selfish Miners in Bitcoin, 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.
B. Fefferman and Lin, C. Yen- Yu, A Complete Characterization of Unitary Quantum Space, 2016.
J. Yi, Ye, W., Gottesman, D., and Liu, Z. - W., Complexity and order in approximate quantum error-correcting codes, Nature Physics, 2024.
O. Shtanko, Deshpande, A., Julienne, P. S., and Gorshkov, A. V., Complexity of Fermionic Dissipative Interactions and Applications to Quantum Computing, PRX Quantum, vol. 2, 2021.
A. Deshpande, Fefferman, B., Foss-Feig, M., and Gorshkov, A. V., Complexity of sampling as an order parameter, 2017.
Y. - K. Liu, The Complexity of the Consistency and N-representability Problems for Quantum States, 2007.
A. M. Childs, Gosset, D., and Webb, Z., Complexity of the XY antiferromagnet at fixed magnetization, Quantum Information and Computation, vol. 16, no. 1-2, pp. 1-18, 2016.
N. Maskara, Deshpande, A., Tran, M. C., Ehrenberg, A., Fefferman, B., and Gorshkov, A. V., Complexity phase diagram for interacting and long-range bosonic Hamiltonians, 2019.
A. Munson, Kothakonda, N. Bhavya Tej, Haferkamp, J., Halpern, N. Yunger, Eisert, J., and Faist, P., Complexity-constrained quantum thermodynamics, 2024.
M. Gullans, Caranti, M., Mills, A. R., and Petta, J. R., Compressed gate characterization for quantum devices with time-correlated noise, 2023.
A. Seif, Hafezi, M., and Liu, Y. - K., Compressed Sensing Measurement of Long-Range Correlated Noise, 2021.
D. Hangleiter and Eisert, J., Computational advantage of quantum random sampling, 2022.
Y. - H. Chen, Chung, K. - M., Lai, C. - Y., Vadhan, S. P., and Wu, X., Computational Notions of Quantum Min-Entropy, 2017.
D. J. Brod and Childs, A. M., The computational power of matchgates and the XY interaction on arbitrary graphs, Quantum Information and Computation, vol. 14, no. 11-12, pp. 901-916, 2014.
J. Bermejo-Vega, Lin, C. Yen- Yu, and Van den Nest, M., The computational power of normalizer circuits over black-box groups, 2014.
G. Alagic, Broadbent, A., Fefferman, B., Gagliardoni, T., Schaffner, C., and Jules, M. St., Computational Security of Quantum Encryption, in Computational Security of Quantum Encryption. In: Nascimento A., Barreto P. (eds) Information Theoretic Security. , 2016.
H. Fu, Wang, D., and Zhao, Q., Computational self-testing of multi-qubit states and measurements, 2022.
A. Singh Arora, Bharti, K., Cojocaru, A., and Coladangelo, A., A computational test of quantum contextuality, and even simpler proofs of quantumness, FOCS 2024 Accepted Paper, 2024.
M. Coudron and Menda, S., Computations with Greater Quantum Depth Are Strictly More Powerful (Relative to an Oracle), Accepted to the Symposium on the Theory of Computing (STOC) 2020 conference, 2020.
A. Stairs and Bub, J., Conditionalizing and commutativity: a note on Malley, 2005.
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. David White, Cao, C. J., and Swingle, B., Conformal field theories are magical, Physical Review B, vol. 103, no. 7, p. 075145, 2021.
J. Bringewatt, Sato, N., Melnitchouk, W., Qiu, J. - W., Steffens, F., and Constantinou, M., Confronting lattice parton distributions with global QCD analysis, 2020.