Qi-Ming Ding

I am currently an Associate Researcher at the School of Computer Science, Peking University. Prior to this, I was a Postdoctoral Fellow at the Center on Frontiers of Computing Studies (CFCS), Peking University, from April 2022 to April 2025, advised by Prof. Xiao Yuan. I obtained my Ph.D. in Physics from the School of Physics, Shandong University in December 2021, under the supervision of Prof. Dian-Min Tong. My research interests include quantum resource theory, quantum information theory, near-term quantum algorithms, and Quantum+AI. To April 2026, I have published 15 peer-reviewed papers, including 9 as the first or corresponding author, in prestigious journals such as Nature Nanotechnology, Physical Review Letters, Journal of Chemical Theory and Computation, Nature Communications, and Physical Review A/Applied.

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News

• [2026.04.03] 很高兴我们的在量子错误缓解的研究被中科院二区杂志Physical Review Applied接收！
• [2026.04.02] 很高兴我们在线性约束下的QAOA算法的研究在中科院一区Top杂志Sci. China-Phys. Mech. Astron.正式发表！
• [2026.03.26] 很高兴我们在量子相干性探测的工作在中科院二区杂志 Physical Review A 正式发表！
• [2026.03.02] 很高兴我们在量子导引探测的工作在中科院一区Top杂志 Physical Review Letters 正式发表！
• [2026.01.13] 很高兴我们在量子计算应用于大尺度分子几何优化的工作在中科院一区Top杂志 Journal of Chemical Theory and Computation 发表！

Research Summary

My research is dedicated to bridging fundamental quantum information theory with practical quantum algorithms, aiming to solve complex real-world problems in chemistry and biology. From physical resource quantification to hardware-efficient algorithm design and interdisciplinary applications, my work follows three continuous main lines:

• Quantum Resources Theory: Nonclassical resources like quantum coherence are the physical foundation of quantum advantage. My early work focused on theoretical boundaries, proving no-go theorems for coherence purification and enhancement [J. Phys. A 2022]. As quantum systems scale up, traditional state tomography becomes infeasible. My research naturally transitioned to efficiently extracting resource information under data-scarce and noisy environments. I proposed a series of protocols, from spectrum estimation [Phys. Rev. Res. 2021, Entropy 2021] to optimization-based relaxation[Phys. Rev. A 2026], successfully achieving experimental estimations for multipartite coherence, quantum steering [Phys. Rev. Lett. 2026], and Quantum Fisher Information.
• NISQ Algorithms & Error Mitigation: To realize practical computing on noisy intermediate-scale quantum (NISQ) devices, I design hybrid algorithms that are both constraint-aware and noise-resilient. I proposed an adaptive QAOA architecture based on Hamming weight operators, fundamentally solving optimization under strict linear constraints [SCPMA 2026], and developed a Quantum Monte Carlo (QMC)-based hybrid framework to efficiently simulate non-Hermitian systems [arXiv 2025]. Crucially, I have made substantial contributions to Quantum Error Mitigation (QEM). Along with developing an SDP-based purification technique to extract high-accuracy molecular ground states on noisy hardware [Phys. Rev. Appl. 2026] . Besides, I supported the first experimental demonstration of universal logical operations and VQE on a silicon quantum processor [Nat. Nanotechnol. 2026].
• Interdisciplinary Applications: I actively push frontier algorithms into real-world scenarios like drug discovery and computational chemistry. For static structure solving, I extended hybrid quantum computing to the geometry optimization of large-scale molecules by integrating Density Matrix Embedding Theory [JCTC 2026]. For dynamic simulations, I facilitated quantum simulations of non-adiabatic molecular dynamics (NAMD) with high-precision electronic structures [Digital Discovery 2026]. Additionally, to tackle the immense complexity of molecular docking in drug R&D, I proposed a digitized-counterdiabatic QAOA solution [Phys. Rev. Appl. 2024] and co-developed an RRAM-based probabilistic computer hardware prototype, offering multi-dimensional breakthroughs for classical computing bottlenecks [Nat. Commun. 2026].

Preprints

Publications

First & Corresponding Author Papers

Co-authored Papers