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Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
Quantum error mitigation techniques are at the heart of quantum computat...
10/20/2020 ∙ by Yuxuan Du, et al. ∙
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Experimental Quantum Generative Adversarial Networks for Image Generation
Quantum machine learning is expected to be one of the first practical ap...
10/13/2020 ∙ by He-Liang Huang, et al. ∙
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Quantum differentially private sparse regression learning
Differentially private (DP) learning, which aims to accurately extract p...
07/23/2020 ∙ by Yuxuan Du, et al. ∙
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Quantum noise protects quantum classifiers against adversaries
Noise in quantum information processing is often viewed as a disruptive ...
03/20/2020 ∙ by Yuxuan Du, et al. ∙
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A Quantum-inspired Algorithm for General Minimum Conical Hull Problems
A wide range of fundamental machine learning tasks that are addressed by...
07/16/2019 ∙ by Yuxuan Du, et al. ∙
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Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
The exploration of quantum algorithms that possess quantum advantages is...
04/21/2019 ∙ by Yuxuan Du, et al. ∙
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The Expressive Power of Parameterized Quantum Circuits
Parameterized quantum circuits (PQCs) have been broadly used as a hybrid...
10/29/2018 ∙ by Yuxuan Du, et al. ∙
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Implementable Quantum Classifier for Nonlinear Data
In this Letter, we propose a quantum machine learning scheme for the cla...
09/17/2018 ∙ by Yuxuan Du, et al. ∙
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