Experimentally realizing efficient quantum control with reinforcement learning

MZ Ai, Y Ding, Y Ban, JD Martín-Guerrero… - Science China Physics …, 2022 - Springer
We experimentally investigate deep reinforcement learning (DRL) as an artificial intelligence
approach to control a quantum system. We verify that DRL explores fast and robust digital …

[HTML][HTML] Experimental realization of nonadiabatic holonomic single‐qubit quantum gates with two dark paths in a trapped ion

MZ Ai, S Li, R He, ZY Xue, JM Cui, YF Huang, CF Li… - Fundamental …, 2022 - Elsevier
For circuit-based quantum computation, experimental implementation of a universal set of
quantum logic gates with high-fidelity and strong robustness is essential and central …

Nonadiabatic geometric quantum computation with optimal control on superconducting circuits

J Xu, S Li, T Chen, ZY Xue - Frontiers of Physics, 2020 - Springer
Quantum gates, which are the essential building blocks of quantum computers, are very
fragile. Thus, to realize robust quantum gates with high fidelity is the ultimate goal of …

Distributed geometric quantum computation based on the optimized-control-technique in a cavity-atom system via exchanging virtual photons

M Yun, FQ Guo, M Li, LL Yan, M Feng, YX Li, SL Su - Optics Express, 2021 - opg.optica.org
We propose a scheme for quantum geometric computation on a fiber-cavity-fiber system, in
which two atoms are located in two single-mode cavities, respectively, connected with each …

Suppressing classical noise in the accelerated geometric phase gate by optimized dynamical decoupling

D Chen, J Jing - Physical Review A, 2022 - APS
In the quantum-computation scenario, the geometric phase gates are becoming increasingly
attractive for their intrinsic fault tolerance to disturbance. With an adiabatic cyclic evolution …

A noise-resisted scheme of dynamical decoupling pulses for quantum memories

B Gong, T Tu, XY Zhu, A Guo, Z Zhou, GC Guo… - Scientific Reports, 2020 - nature.com
Stable quantum memories that capable of storing quantum information for long time scales
are an essential building block for an array of potential applications. The long memory time …