activity
20042024
most citedQuantum feedback: theory, experiments, and applications

271 citations · 1.1k across the 49 of their papers we have counts for

collaborators
Showing quant-phShow all

47 papers · 1 filter

quant-ph2024

The Top Manifold Connectedness of Quantum Control Landscapes

Yidian Fan, Re-Bing Wu, Tak-San Ho +2

The control of quantum systems has been proven to possess trap-free optimization landscapes under the satisfaction of proper assumptions. However, many details of the landscape geo…

quant-ph2022

Quantum Optimal Control without Arbitrary Waveform Generators

Qi-Ming Chen, Herschel Rabitz, Re-Bing Wu

Simple, precise, and robust control is demanded for operating a large quantum information processor. However, existing routes to high-fidelity quantum control rely heavily on arbit…

quant-ph2022

Flying-Qubit Control via a Three-level Atom with Tunable Waveguide Couplings

Wenlong Li, Xue Dong, Guofeng Zhang +1

The control of flying qubits is at the core of quantum networks. As often carried by single-photon fields, the flying-qubit control involves not only their logical states but also…

quant-ph2022

Experimental Quantum End-to-End Learning on a Superconducting Processor

Xiaoxuan Pan, Xi Cao, Weiting Wang +10

Machine learning can be substantially powered by a quantum computer owing to its huge Hilbert space and inherent quantum parallelism. In the pursuit of quantum advantages for machi…

quant-ph2022★ 4 cited

The Optimization Landscape of Hybrid Quantum-Classical Algorithms: from Quantum Control to NISQ Applications

Xiaozhen Ge, Re-Bing Wu, Herschel Rabitz

This review investigates the landscapes of prevalent hybrid quantum-classical optimization algorithms in many rapidly developing quantum technologies, where the objective function…

quant-ph2021

On the Control of Flying Qubits

Wen-Long Li ang Guofeng Zhang, Re-Bing Wu

The control of flying quantum bits (qubits) carried by traveling quantum fields is crucial for coherent information transmission in quantum networks. In this paper, we develop a ge…

quant-ph2021★ 18 cited

On the Dynamics of the Tavis-Cummings Model

Zhiyuan Dong, Guofeng Zhang, Ai-Guo Wu +1

The purpose of this paper is to present a comprehensive study of the Tavis-Cummings model from a system-theoretic perspective. A typical form of the Tavis-Cummings model is compose…

quant-ph2021★ 15 cited

Risk-sensitive Optimization for Robust Quantum Controls

Xiaozhen Ge, Re-Bing Wu

Highly accurate and robust control of quantum operations is vital for the realization of error-correctible quantum computation. In this paper, we show that the robustness of high-p…

quant-ph2020★ 24 cited

Assessing three closed-loop learning algorithms by searching for high-quality quantum control pulses

Xiao-dong Yang, Christian Arenz, Istvan Pelczer +4

Designing a high-quality control is crucial for reliable quantum computation. Among the existing approaches, closed-loop leaning control is an effective choice. Its efficiency depe…

quant-ph2020★ 3 cited

On compression rate of quantum autoencoders: Control design, numerical and experimental realization

Hailan Ma, Chang-Jiang Huang, Chunlin Chen +4

Quantum autoencoders which aim at compressing quantum information in a low-dimensional latent space lie in the heart of automatic data compression in the field of quantum informati…

quant-ph2020★ 31 cited

End-to-End Quantum Machine Learning Implemented with Controlled Quantum Dynamics

Re-Bing Wu, Xi Cao, Pinchen Xie +1

Toward quantum machine learning deployed on imperfect near-term intermediate-scale quantum (NISQ) processors, the entire physical implementation of should include as less as possib…

quant-ph2019

Quantum Fourier Transform in Oscillating Modes

Qi-Ming Chen, Frank Deppe, Re-Bing Wu +9

Quantum Fourier transform (QFT) is a key ingredient of many quantum algorithms where a considerable amount of ancilla qubits and gates are often needed to form a Hilbert space larg…

quant-ph2019★ 21 cited

Robust Quantum Control against Clock Noises in Multi-Qubit Systems

Hai-Jin Ding, Re-Bing Wu

High-precision manipulation of multi-qubit quantum systems requires strictly clocked and synchronized multi-channel control signals. However, practical Arbitrary Waveform Generator…

quant-ph2018★ 16 cited

Combining the synergistic control capabilities of modelling and experiments: illustration of finding a minimum time quantum objective

Qi-Ming Chen, Xiaodong Yang, Christian Arenz +4

A common way to manipulate a quantum system, for example spins or artificial atoms, is to use properly tailored control pulses. In order to accomplish quantum information tasks bef…

quant-ph2018★ 120 cited

Learning Robust and High-Precision Quantum Controls

Re-Bing Wu, Haijin Ding, Daoyi Dong +1

Robust and high-precision quantum control is extremely important but challenging for the functionization of scalable quantum computation. In this paper, we show that this hard prob…

quant-ph2018★ 11 cited

How to Synthesize Exceptional Points with Three Resonators

Re-Bing Wu, Yu Zheng, Qi-Ming Chen +1

In non-Hermitian coulped-resonator networks, the eigenvectors of degenerate eigenmodes may become parallel due to the singularity at so-called Exceptional Points (EP). To exploit t…

quant-ph2018★ 4 cited

Quantum Circuit Design for Training Perceptron Models

Yu Zheng, Sicong Lu, Re-Bing Wu

Perceptron model is a fundamental linear classifier in machine learning and also the building block of artificial neural networks. Recently, Wiebe et al. (arXiv:1602.04799) propose…

quant-ph2017

Pulse Width Modulation method for quantum control design

Qi-Ming Chen, Re-Bing Wu, Herschel Rabitz

Illuminated by the Pulse Width Modulation (PWM) technology in classical control engineering, we propose the PWM approximation which transforms continuous and bang-bang control into…

quant-ph2017★ 12 cited

Tuning coupling between superconducting resonators with collective qubits

Qi-Ming Chen, Re-Bing Wu, Luyan Sun +1

By simultaneously coupling multiple two-level artificial atoms to two superconducting resonators, we design a quantum switch that tunes the resonator-resonator coupling strength fr…

quant-ph2017★ 62 cited

A Data-Driven Gradient Algorithm for High-Precision Quantum Control

Re-Bing Wu, Bing Chu, David Owens +1

In the quest to achieve scalable quantum information processing technologies, gradient-based optimal control algorithms (e.g., GRAPE) are broadly used for implementing high-precisi…

quant-ph2016★ 12 cited

Searching for an optimal control in the presence of saddles on the quantum mechanical observable landscape

Gregory Riviello, Re-Bing Wu, Qiuyang Sun +1

The broad success of theoretical and experimental quantum optimal control is intimately connected to the topology of the underlying control landscape. For several common quantum co…

quant-ph2016★ 2 cited

Inherently trap-free convex landscapes for full quantum optimal control

Qiuyang Sun, Re-Bing Wu, Tak-San Ho +1

We present a comprehensive analysis of the landscape for full quantum-quantum control associated with the expectation value of an arbitrary observable of one quantum system control…

quant-ph2016★ 1 cited

Pulse Width Modulation for Speeding Up Quantum Optimal Control Design

Qi-Ming Chen, Re-Bing Wu

This paper focuses on accelerating quantum optimal control design for complex quantum systems. Based on our previous work [{arXiv:1607.04054}], we combine Pulse Width Modulation (P…

quant-ph2016★ 2 cited

Pulse Width Modulation for Simulating Time-Dependent Quantum Systems

Qi-Ming Chen, Re-Bing Wu

This paper proposes a numerical method for solving time-dependent Schrodinger equations with finite spectral bandwidth, which applies to both periodic and non-periodic cases. We in…