Neural quantum propagators for driven-dissipative quantum dynamics
Describing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine learning techniques are being applied with some success to simulate the time evolution of individual quantum states, their u...
Saved in:
Main Authors: | Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
American Physical Society
2025-01-01
|
Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.7.L012013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quaternary Neural Belief Propagation Decoding of Quantum LDPC Codes With Overcomplete Check Matrices
by: Sisi Miao, et al.
Published: (2025-01-01) -
Integrability of open boundary driven quantum circuits
by: Chiara Paletta, Tomaž Prosen
Published: (2025-01-01) -
Dissipation Alters Modes of Information Encoding in Small Quantum Reservoirs near Criticality
by: Krai Cheamsawat, et al.
Published: (2025-01-01) -
Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers
by: Alon Kukliansky, et al.
Published: (2024-01-01) -
Low-Rank Variational Quantum Algorithm for the Dynamics of Open Quantum Systems
by: Sara Santos, et al.
Published: (2025-02-01)