activity
20202026
most citedLearning-based quantum error mitigation

249 citations · 290 across the 8 of their papers we have counts for

collaborators

8 papers

quant-ph2026

Constant-depth global shadow estimation

Qingyue Zhang, Zhou You, Dayue Qin +3

Reliable and scalable readout strategies are essential for quantum technologies. As quantum processors grow, extracting useful information must remain feasible without measurement…

quant-ph2026

Quantum-classical crossover in fault-tolerant quantum dynamics simulation

Jinzhao Sun, Bozhen Zhou, Jue Xu +28

While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorith…

quant-ph2026

Quantum Nonlinear Properties from a Single Measurement Setting

Zihao Li, Datong Chen, Dayue Qin +2

Nonlinear properties of quantum states are essential to quantum information and many-body physics, but assessing them experimentally is challenging, as it typically requires multi-…

quant-ph2025

Classical Noise Inversion for Error-Propagatable Circuits with Minimal Overhead under General Gate-Dependent Noise

Dayue Qin, Ying Li, You Zhou

Quantum error mitigation (QEM) is critical for extracting reliable computations from noisy quantum processors, proving itself essential not only in the near term but also as a valu…

quant-ph2025

Phase shadow: A noise-tolerant path to global quantum property estimation

Qingyue Zhang, Dayue Qin, Zhou You +3

Measuring global quantum properties-such as the fidelity to complex multipartite states-is both an essential and experimentally challenging task. Classical shadow estimation offers…

quant-ph2021★ 33 cited

Error statistics and scalability of quantum error mitigation formulas

Dayue Qin, Yanzhu Chen, Ying Li

Quantum computing promises advantages over classical computing in many problems. Nevertheless, noise in quantum devices prevents most quantum algorithms from achieving the quantum…

quant-ph2020★ 8 cited

Scalable evaluation of quantum-circuit error loss using Clifford sampling

Zhen Wang, Yanzhu Chen, Zixuan Song +6

A major challenge in developing quantum computing technologies is to accomplish high precision tasks by utilizing multiplex optimization approaches, on both the physical system and…

quant-ph2020★ 249 cited

Learning-based quantum error mitigation

Armands Strikis, Dayue Qin, Yanzhu Chen +2

If NISQ-era quantum computers are to perform useful tasks, they will need to employ powerful error mitigation techniques. Quasi-probability methods can permit perfect error compens…