6 papers · 1 filter
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…
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…
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…