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Variational Quantum Circuits for Quantum State Tomography
Yong Liu, Dongyang Wang, Shichuan Xue +9
Quantum state tomography is a key process in most quantum experiments. In this work, we employ quantum machine learning for state tomography. Given an unknown quantum state, it can…
Hybrid Quantum-Classical Convolutional Neural Networks
Junhua Liu, Kwan Hui Lim, Kristin L. Wood +3
Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be a…
Quantum-Inspired Support Vector Machine
Chen Ding, Tian-Yi Bao, He-Liang Huang
Support vector machine (SVM) is a particularly powerful and flexible supervised learning model that analyzes data for both classification and regression, whose usual algorithm comp…
General-purpose quantum circuit simulator with Projected Entangled-Pair States and the quantum supremacy frontier
Chu Guo, Yong Liu, Min Xiong +12
Recent advances on quantum computing hardware have pushed quantum computing to the verge of quantum supremacy. Random quantum circuits are outstanding candidates to demonstrate qua…