Scheme for automatic differentiation of complex loss functions with applications in quantum physics.

Chu Guo1, Dario Poletti2

  • 1Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education, Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications, Hunan Normal University, Changsha 410081, China.

Physical Review. E
|February 19, 2021
PubMed
Summary

This study extends automatic differentiation to complex quantum physics problems. This new method efficiently computes quantum system states, offering GPU acceleration and broader network compatibility.

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