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20232026
most citedSampling reduced density matrix to extract fine levels of entanglement spectrum and restore entanglement Hamiltonian

13 citations · 55 across the 14 of their papers we have counts for

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quant-ph2026

Quantum Monte Carlo in the Age of Many-Body Quantum Information

Yi-Ming Ding, Bin-Bin Mao, Zheng Yan

Quantum Monte Carlo (QMC) methods are among the central numerical tools for studying strongly correlated quantum many-body systems, particularly in higher dimensions. As quantum in…

quant-ph2026

Strong-to-Weak Spontaneous Symmetry Breaking in a D Transverse-Field Ising Model under Decoherence

Yi-Ming Ding, Yuxuan Guo, Zhen Bi +1

Decoherence in many-body quantum systems can give rise to intrinsically mixed-state phases and phase transitions beyond the pure-state paradigm. Here we study the D transver…

quant-ph2025

Mixed-State Phase Transitions in Measurement-Dressed Imaginary-Time Evolution

Yi-Ming Ding, Zenan Liu, Xu Tian +3

Motivated by the ubiquity of decoherence in quantum hardware and the growing role of imaginary-time evolution (ITE) in quantum algorithms, we investigate how many-body correlations…

quant-ph2025★ 2 cited

Evaluating many-body stabilizer Rényi entropy by sampling reduced Pauli strings: singularities, volume law, and nonlocal magic

Yi-Ming Ding, Zhe Wang, Zheng Yan

We present a novel quantum Monte Carlo method for evaluating the -stabilizer Rényi entropy (SRE) for any integer . By interpreting -SRE as partition function ratios,…

quant-ph2023★ 13 cited

Sampling reduced density matrix to extract fine levels of entanglement spectrum and restore entanglement Hamiltonian

Bin-Bin Mao, Yi-Ming Ding, Zhe Wang +2

The reduced density matrix (RDM) plays a key role in quantum entanglement and measurement, as it allows the extraction of almost all physical quantities related to the reduced degr…

quant-ph2023★ 5 cited

Exploring the topological sector optimization on quantum computers

Yi-Ming Ding, Yan-Cheng Wang, Shi-Xin Zhang +1

Optimization problems are the core challenge in many fields of science and engineering, yet general and effective methods are scarce for searching optimal solutions. Quantum comput…