181 citations · 215 across the 13 of their papers we have counts for
13 papers
Efficient Measurement Error Mitigation with Subsystem-Balanced Pauli Twirling
Xiao-Yue Xu, Chen Ding, Wan-Su Bao
Measurement error mitigation (MEM) is essential for realizing reliable quantum computation. Model-free measurement error mitigation (MF-MEM) is an important class of MEM methods th…
Suppressing Measurement Noise in Logical Qubits Through Measurement Scheduling
Xiao-Yue Xu, Chen Ding, Wan-Su Bao
Quantum error correction is essential for reliable quantum computation, where surface codes demonstrate high fault-tolerant thresholds and hardware efficiency. However, noise in si…
Physics-inspired Machine Learning for Quantum Error Mitigation
Xiao-Yue Xu, Xin Xue, Tianyu Chen +5
Noise is a major obstacle in current quantum computing, and Machine Learning for Quantum Error Mitigation (ML-QEM) promises to address this challenge, enhancing computational accur…
AI-Powered Algorithm-Centric Quantum Processor Topology Design
Tian Li, Xiao-Yue Xu, Chen Ding +4
Quantum computing promises to revolutionize various fields, yet the execution of quantum programs necessitates an effective compilation process. This involves strategically mapping…
JuliVQC: an Efficient Variational Quantum Circuit Simulator for Near-Term Quantum Algorithms
Wei-You Liao, Xiang Wang, Xiao-Yue Xu +4
We introduce JuliVQC: a light-weight, yet extremely efficient variational quantum circuit simulator. JuliVQC is part of an effort for classical simulation of the \textit{Zuchongzhi…
Quantum Advantage: A Single Qubit's Experimental Edge in Classical Data Storage
Chen Ding, Edwin Peter Lobo, Mir Alimuddin +5
We implement an experiment on a photonic quantum processor establishing efficacy of the elementary quantum system in classical information storage. The advantage is established by…
Quantum State Compression Shadow
Chen Ding, Xiao-Yue Xu, Shuo Zhang +2
Quantum state readout serves as the cornerstone of quantum information processing, exerting profound influence on quantum communication, computation, and metrology. In this study,…
Circuit-Noise-Resilient Virtual Distillation
Xiao-Yue Xu, Chen Ding, Shuo Zhang +2
Quantum error mitigation (QEM) is vital for improving quantum algorithms' accuracy on noisy near-term devices. A typical QEM method, called Virtual Distillation (VD), can suffer fr…
Evaluating the Resilience of Variational Quantum Algorithms to Leakage Noise
Chen Ding, Xiao-Yue Xu, Shuo Zhang +2
As we are entering the era of constructing practical quantum computers, suppressing the inevitable noise to accomplish reliable computational tasks will be the primary goal. Leakag…
Active Learning on a Programmable Photonic Quantum Processor
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu +3
Training a quantum machine learning model generally requires a large labeled dataset, which incurs high labeling and computational costs. To reduce such costs, a selective training…
Parameter-Parallel Distributed Variational Quantum Algorithm
Yun-Fei Niu, Shuo Zhang, Chen Ding +2
Variational quantum algorithms (VQAs) have emerged as a promising near-term technique to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) devices. How…
Noise-Resistant Quantum State Compression Readout
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu +2
Qubit measurement is generally the most error-prone operation that degrades the performance of near-term quantum devices, and the exponential decay of readout fidelity severely imp…
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…