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Machine Learning in quantum systems

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Relevant Publications: 

Neural-Network Decoders for Measurement Induced Phase Transitions, H. Dehghani, A. Lavasani, M. Hafezi, and M. J. Gullans, Nature Communications, 14, (2023)

Meta Hamiltonian Learning, P. Bienias, A. Seif, and M. Hafezi , arXiv preprint arXiv:2104.04453 (2021)

Machine learning the thermodynamic arrow of time, A. Seif, M. Hafezi, and C. Jarzynski , Nature Physics, 17, 105 (2021)

Machine learning assisted readout of trapped-ion qubits, A. Seif, K. A. Landsman, N. M. Linke, C. Figgatt, C. Monroe, and M. Hafezi , Journal of Physics B: Atomic, Molecular and Optical Physics, 51 (2018)

Discovering hydrodynamic equations of many-body quantum systems, Y. Kharkov, O. Shtanko, A. Seif, P. Bienias, M. Van Regemortel, M. Hafezi, and A. V. Gorshkov , arXiv preprint arXiv:2111.02385 (2021)

Decoding conformal field theories: from supervised to unsupervised learning, E-J. Kuo, A. Seif, R. Lundgren, S. Whitsitt, and M. Hafezi , arXiv preprint arXiv:2106.13485 (2021)