1 code implementation • 2 Jul 2020 • I. Luchnikov, M. Krechetov, S. Filippov
Optimization with constraints is a typical problem in quantum physics and quantum information science that becomes especially challenging for high-dimensional systems and complex architectures like tensor networks.
Quantum Physics Computational Physics
no code implementations • 9 Oct 2019 • I. Luchnikov, A. Ryzhov, P. -J. C. Stas, S. N. Filippov, H. Ouerdane
We show with the paradigmatic quantum Ising model in a transverse magnetic field, that the ground-state physics, such as, e. g., magnetization and other mean values of observables, of a whole class of quantum many-body systems can be reconstructed by using VAE learning of tomographic data, for different parameters of the Hamiltonian, and even if the system undergoes a quantum phase transition.
Quantum Physics Statistical Mechanics
