1 code implementation • 3 Nov 2020 • I. A. Luchnikov, A. Ryzhov, S. N. Filippov, H. Ouerdane
Many theoretical problems in quantum technology can be formulated and addressed as constrained optimization problems.
Quantum Physics
no code implementations • 21 Sep 2020 • R. Grimaudo, A. Messina, A. Sergi, N. V. Vitanov, S. N. Filippov
In contrast to classical systems, actual implementation of non-Hermitian Hamiltonian dynamics for quantum systems is a challenge because the processes of energy gain and dissipation are based on the underlying Hermitian system-environment dynamics that is trace preserving.
Quantum 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
1 code implementation • 19 Feb 2019 • I. A. Luchnikov, S. V. Vintskevich, D. A. Grigoriev, S. N. Filippov
The method is based on embedding the non-Markovian system dynamics into a Markovian dynamics of the system and the effective reservoir of finite dimension.
Quantum Physics
