1. Research
  2. Publications

Publications

2021
D. Wu, Zhao, Q., Gu, X. - M., Zhong, H. - S., Zhou, Y., Peng, L. - C., Qin, J., Luo, Y. - H., Chen, K., Li, L., Le Liu, N. -, Lu, C. - Y., and Pan, J. - W., “Robust Self-Testing of Multiparticle Entanglement”, Phys. Rev. Lett. , vol. 127, p. 230503, 2021.
G. Alagic, Gagliardoni, T., and Majenz, C., “Can you sign a quantum state?”, v4: version for publication in Quantum, v5: CC license, 2021.
Z. Holmes, Coble, N., Sornborger, A. T., and Subaşı, Y., “On nonlinear transformations in quantum computation”, 2021.
P. - G. Rozon, Gullans, M., and Agarwal, K., “Constructing quantum many-body scar Hamiltonians from Floquet automata”, 2021.
P. W. Evans, Hangleiter, D., and Thébault, K. P. Y., “How to engineer a quantum wavefunction”, 2021.
S. Gopalakrishnan and Gullans, M., “Entanglement and purification transitions in non-Hermitian quantum mechanics”, Phys. Rev. Lett., in press, 2021.
J. Riddell, García-Pintos, L. Pedro, and Alhambra, Á. M., “Relaxation of non-integrable systems and correlation functions”, 2021.
J. T. Young, Gorshkov, A. V., and Spielman, I. B., “Feedback-stabilized dynamical steady states in the Bose-Hubbard model”, Phys. Rev. Research, vol. 3, no. 4, p. 043075 , 2021.
D. Wang, Sundaram, A., Kothari, R., Kapoor, A., and Roetteler, M., “Quantum Algorithms for Reinforcement Learning with a Generative Model”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, 2021.
L. Li, Voichick, F., Hietala, K., Peng, Y., Wu, X., and Hicks, M., “Verified Compilation of Quantum Oracles”, 2021.
A. Deshpande, Fefferman, B., Gorshkov, A. V., Gullans, M., Niroula, P., and Shtanko, O., “Tight bounds on the convergence of noisy random circuits to uniform”, 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.
D. Carney, Müller, H., and Taylor, J. M., “Comment on "Using an atom interferometer to infer gravitational entanglement generation''”, 2021.
A. M. Childs, Liu, J. - P., and Ostrander, A., “High-precision quantum algorithms for partial differential equations”, Quantum 5, 574, vol. 5, no. 574, 2021.
C. J. Cao, “From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics”, 2021.
Y. Kharkov, Shtanko, O., Seif, A., Bienias, P., Van Regemortel, M., Hafezi, M., and Gorshkov, A. V., “Discovering hydrodynamic equations of many-body quantum systems”, 2021.
S. Wang, Fontana, E., Cerezo, M., Sharma, K., Sone, A., Cincio, L., and Coles, P. J., “Noise-induced barren plateaus in variational quantum algorithms”, Nature Communications, vol. 12, p. 6961, 2021.
V. V. Albert, Aasen, D., Xu, W., Ji, W., Alicea, J., and Preskill, J., “Spin chains, defects, and quantum wires for the quantum-double edge”, 2021.
L. Pedro García-Pintos and del Campo, A., “Limits to Perception by Quantum Monitoring with Finite Efficiency”, Entropy, vol. 23, p. 1527, 2021.
P. C. S. Costa, An, D., Sanders, Y. R., Su, Y., Babbush, R., and Berry, D. W., “Optimal scaling quantum linear systems solver via discrete adiabatic theorem”, 2021.
K. Hietala, Rand, R., Hung, S. - H., Wu, X., and Hicks, M., “A Verified Optimizer for Quantum Circuits”, Proceedings of the ACM on Programming Languages, vol. 5, no. POPL, 2021.
H. Mousavi, Nezhadi, S. Sajjad, and Yuen, H., “Nonlocal Games, Compression Theorems, and the Arithmetical Hierarchy”, 2021.
X. You and Wu, X., “Exponentially Many Local Minima in Quantum Neural Networks”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, pp. 12144-12155, 2021.
B. Cao, Grass, T., Gazzano, O., Patel, K. Ashokbhai, Hu, J., Müller, M., Huber, T., Anzi, L., Watanabe, K., Taniguchi, T., Newell, D., Gullans, M., Sordan, R., Hafezi, M., and Solomon, G., “Chiral transport of hot carriers in graphene in the quantum Hall regime”, 2021.
A. Y. Guo, Lieu, S., Tran, M. C., and Gorshkov, A. V., “Clustering of steady-state correlations in open systems with long-range interactions”, 2021.