Machine Learning in quantum systems | GROUPS // Hafezi Group

Machine Learning in quantum systems

Relevant Publications:

Meta Hamiltonian Learning

Submitted by Mohammad Hafezi on Wed, 04/28/2021 - 12:38

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

Machine learning the thermodynamic arrow of time

Submitted by Vikram Orre on Mon, 09/30/2019 - 09:34

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

Submitted by Vikram Orre on Mon, 04/23/2018 - 07:45

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

Submitted by Mohammad Hafezi on Tue, 11/09/2021 - 10:31

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

Submitted by Mohammad Hafezi on Fri, 08/13/2021 - 04:36

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)

Team Members

Supratik Sarkar
Gautam Nambiar
Lida Xu
Peter Lunts
Daniel Suarez Forero
En-Jui Kuo
Mathias Van Regemortel
Hossein Dehghani