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Article
Quantum state tomography from observable time traces in closed quantum systems
The task to estimate all the parameters of an unknown quantum state, also called quantum state tomography, is essential for characterizing and controlling quantum systems. In this paper, we utilize observable ...
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Article
Demand response management of smart grid based on Stackelberg-evolutionary joint game
We investigated the real-time pricing demand response management system of multiple microgrids and multiple power users. Accordingly, we have proposed a Stackelberg-evolutionary joint game framework to examine...
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Chapter
Introduction
This chapter presents a brief introduction to quantum technologies and quantum control. The scope and structure of this monograph are introduced and the topics of each chapter are outlined.
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Chapter
Concluding Remarks
This chapter presents several concluding remarks and outline several future research directions.
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Book
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Chapter
Control and Classification of Inhomogeneous Quantum Ensembles
This chapter discusses control and classification of inhomogeneous quantum ensembles. A sampling-based learning method is systematically developed for ensemble and classification. Inhomogeneous quantum ens...
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Chapter
Machine Learning for Quantum Control
This chapter presents results on learning of quantum systems. In Sect. 5.2, two differential (DE) algorithms are proposed and numerical results on quantum control via DE are presented for inhomogeneous open q...
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Chapter
Robust Stability and Performance Analysis of Quantum Systems
This chapter presents several results on robust and performance for uncertain quantum systems using the small gain and a . In Sect. 7.2, the problem of robust stability for linear quantum systems is presen...
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Chapter
Introduction to Quantum Mechanics and Quantum Control
This chapter presents a brief introduction to the quantum mechanics postulates and several classes of quantum systems, and outlines quantum control models and various quantum control design methods including q...
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Chapter
Sampling-Based Learning Control of Quantum Systems with Uncertainties
This chapter presents results on enhancing robustness of quantum systems with uncertainties using the sampling-based learning control (SLC) method. In Sect. 4.2, the method is applied to state control of super...
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Chapter
Sliding Mode Control of Quantum Systems
Sliding mode control is a powerful variable structure control method for classical control systems. The basic idea of sliding mode control can also be extended to the quantum domain for robust control. This ch...
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Chapter
\(H^{\infty }\) Control and Fault-Tolerant Control of Quantum Systems
This chapter presents several results on \(H^\infty \) H ∞ ...
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Article
Multi-channel quantum parameter estimation
The aim of quantum metrology is to exploit quantum effects to improve the precision of parameter estimation beyond its classical limit. In this paper, we investigate the quantum parameter estimation problem wi...
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Reference Work Entry In depth
Learning Control of Quantum Systems
This chapter presents a brief introduction to learning control of quantum systems. Gradient-based learning methods, evolutionary computation algorithms, and reinforcement learning approaches are outlined for s...
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Article
Open AccessDetecting non-Markovianity via quantified coherence: theory and experiments
The dynamics of open quantum systems and manipulation of quantum resources are both of fundamental interest in quantum physics. Here, we investigate the relation between quantum Markovianity and coherence, pro...
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Article
Quantum reinforcement learning during human decision-making
Classical reinforcement learning (CRL) has been widely applied in neuroscience and psychology; however, quantum reinforcement learning (QRL), which shows superior performance in computer simulations, has never...
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Living Reference Work Entry In depth
Learning Control of Quantum Systems
This chapter presents a brief introduction to learning control of quantum systems. Gradient-based learning methods, evolutionary computation algorithms, and reinforcement learning approaches are outlined for s...
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Article
Special issue on quantum control Dedicated to the occasion of Prof. Ian Petersen’s 60th birthday
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Article
Quantum learning control using differential evolution with equally-mixed strategies
Learning control has been recognized as a powerful approach in quantum information technology. In this paper, we extend the application of differential evolution (DE) to design optimal control for various quan...
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Article
Open AccessAdaptive quantum state tomography via linear regression estimation: Theory and two-qubit experiment
Adaptive techniques have great potential for wide application in enhancing the precision of quantum parameter estimation. We present an adaptive quantum state tomography protocol for finite dimensional quantum...
