activity
20202023
most citedDeep reinforcement learning for universal quantum state preparation via dynamic pulse control

27 citations · 96 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2023★ 9 cited

Enhanced quantum state preparation via stochastic prediction of neural network

Chao-Chao Li, Run-Hong He, Zhao-Ming Wang

In pursuit of enhancing the predication capabilities of the neural network, it has been a longstanding objective to create dataset encompassing a diverse array of samples. The purp…

quant-ph2023★ 10 cited

Effects of non-Markovian squeezed bath on the dynamics of open systems

Arapat Ablimit, Feng-Hua Ren, Run-Hong He +2

Control of the dynamics of an open quantum system is crucial in quantum information processing. Basically there are two ways: one is the control on the system and the other is tuni…

quant-ph2022★ 1 cited

Modularized and Scalable Compilation for Double Quantum Dot Quatum Computing

Run-Hong He, Xu-Sheng Xu, Mark S. Byrd +1

Any quantum program on a realistic quantum device must be compiled into an executable form while taking into account the underlying hardware constraints. Stringent restrictions on…

quant-ph2022★ 13 cited

Stochastic learning control of adiabatic speedup in a non-Markovian open qutrit system

Yang-Yang Xie, Feng-Hua Ren, Run-Hong He +2

Precise and efficient control of quantum systems is essential to perform quantum information processing tasks. In terms of adiabatic speedup via leakage elimination operator approa…

quant-ph2022★ 7 cited

Quantum energy current and quantum coherence of a spin chain in a non-Markovian environment

Arapat Ablimit, Run-Hong He, Yang-Yang Xie +1

We investigate the behavior in time of the energy current between a quantum spin chain and its surrounding non-Markovian, finite temperature baths, together with its relationship t…

quant-ph2022

Approximate quantum gates compiling with self-navigation algorithm

Run-Hong He, Ren-Feng Hua, Arapat Ablimit +1

The compiling of quantum gates is crucial for the successful quantum algorithm implementations. The environmental noise as well as the bandwidth of control pulses pose a challenge…

quant-ph2021★ 9 cited

Black-Box Quantum State Preparation with Inverse Coefficients

Shengbin Wang, Zhimin Wang, Runhong He +8

Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms, which is applied to transduce the data from computational basis into a…

quant-ph2021★ 10 cited

Sharing quantum steering among multiple Alices and Bobs via a two-qubit Werner state

Xinhong Han, Ya Xiao, Huichao Qu +4

Quantum steering, a type of quantum correlation with unique asymmetry, has important applications in asymmetric quantum information tasks. We consider a new quantum steering scenar…

quant-ph2021★ 10 cited

Universal quantum state preparation via revised greedy algorithm

Run-Hong He, Hai-Da Liu, Sheng-Bin Wang +3

Preparation of quantum state lies at the heart of quantum information processing. The greedy algorithm provides a potential method to effectively prepare quantum states. However, t…

quant-ph2021

Control cost and quantum speed limit time in controlled almost exact state transmission in open systems

Shen-Shuang Nie, Feng-Hua Ren, Run-Hong He +2

We investigate the influence of environment noise on the control cost and the quantum speed limit time (QSLT) in the process of almost exact state transmission (AEST) through a spi…

quant-ph2020★ 27 cited

Deep reinforcement learning for universal quantum state preparation via dynamic pulse control

Run-Hong He, Rui Wang, Jing Wu +3

Accurate and efficient preparation of quantum state is a core issue in building a quantum computer. In this paper, we investigate how to prepare a certain single- or two-qubit targ…