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The Expressive Power of Parameterized Quantum Circuits
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu +1
Parameterized quantum circuits (PQCs) have been broadly used as a hybrid quantum-classical machine learning scheme to accomplish generative tasks. However, whether PQCs have better…
A Grover-search Based Quantum Learning Scheme for Classification
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu +1
The hybrid quantum-classical learning scheme provides a prominent way to achieve quantum advantages on near-term quantum devices. A concrete example towards this goal is the quantu…
Bayesian Quantum Circuit
Yuxuan Du, Tongliang Liu, Dacheng Tao
Parameterized quantum circuits (PQCs), as one of the most promising schemes to realize quantum machine learning algorithms on near-term quantum computers, have been designed to sol…
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
Yuxuan Du, Tongliang Liu, Yinan Li +2
It is NP-complete to find non-negative factors and with fixed rank from a non-negative matrix by minimizing . Although the separability assumptio…