GRAPE optimization for open quantum systems with time-dependent decoherence rates driven by coherent and incoherent controls

VN Petruhanov, AN Pechen - Journal of Physics A: Mathematical …, 2023 - iopscience.iop.org
Abstract The GRadient Ascent Pulse Engineering (GRAPE) method is widely used for
optimization in quantum control. GRAPE is gradient search method based on exact …

Quantum-enhanced representation learning: A quanvolutional autoencoder approach against ddos threats

P Rivas, J Orduz, TD Jui, C DeCusatis… - Machine Learning and …, 2024 - mdpi.com
Motivated by the growing threat of distributed denial-of-service (DDoS) attacks and the
emergence of quantum computing, this study introduces a novel “quanvolutional …

[HTML][HTML] Quantum control based on machine learning in an open quantum system

YX Zeng, J Shen, SC Hou, T Gebremariam, C Li - Physics Letters A, 2020 - Elsevier
Designing robust control schemes in n-level open quantum system is significant for quantum
computation. Here, we investigate two quantum control strategies based on supervised …

Synchronization control of field-coupled neurons with distributed time delays

X An, L **ong, L Zhang, J Zhang, Q Shi - The European Physical Journal …, 2022 - Springer
Electrical synapses can quickly activate the gap junctions between adjacent neurons, so the
effect of electrical synaptic coupling is often equivalent to that of voltage coupling based on …

Active learning approach to optimization of experimental control

Y Wu, Z Meng, K Wen, C Mi, J Zhang… - Chinese Physics …, 2020 - iopscience.iop.org
We present a general machine learning based scheme to optimize experimental control.
The method utilizes the neural network to learn the relation between the control parameters …

Simultaneous ground-state cooling of identical mechanical oscillators by Lyapunov control

Z Yang, J Yang, SL Chao, C Zhao, R Peng, L Zhou - Optics Express, 2022 - opg.optica.org
The simultaneous cooling of multiple mechanical oscillators in the cavity optomechanical
system has aroused people's attention and may be applicable in the quantum information …

Application of machine learning for predicting strong phonon blockade

YX Zeng, T Gebremariam, J Shen, B **ong… - Applied Physics …, 2021 - pubs.aip.org
Observing the phonon blockade in a nanomechanical oscillator is clear evidence of its
quantum nature. However, it is still a severe challenge to measure the strong phonon …

Machine learning for finding suboptimal final times and coherent and incoherent controls for an open two-level quantum system

OV Morzhin, AN Pechen - Lobachevskii Journal of Mathematics, 2020 - Springer
This work considers an open two-level quantum system evolving under coherent and
incoherent piecewise constant controls constrained in their magnitude and variations. The …

Generation of nonclassical states in nonlinear oscillators via Lyapunov control

D Ran, WJ Shan, ZC Shi, ZB Yang, J Song, Y **a - Physical Review A, 2020 - APS
In this paper, we propose a scheme to generate nonclassical states in a nonlinear oscillator
system, such as Fock states, squeezed coherent states, Schrödinger-cat states, etc. These …

Multistability of equilibrium points and periodic solutions for Clifford‐valued memristive Cohen–Grossberg neural networks with mixed delays

J Li, H Zhao, Y Zhang, S Zhu… - Mathematical Methods in …, 2024 - Wiley Online Library
Based on the relevant theories of M‐matrix and the Lyapunov stability technique, this paper
investigates the multistability of equilibrium points and periodic solutions for Clifford‐valued …