About Me
My name is Zhongxia Shang (or Zhong-Xia Shang used in publications). I am currently a postdoc of QMATH at the University of Copenhagen hosted by Daniel Stilck França. Previously, I was an HKIQST postdoctoral fellow affiliated with the University of Hong Kong (HKU). My hosts are Prof. Wang Yao and Prof. Qi Zhao. I obtained my Ph.D. degree in Physics at University of Science and Technology of China (USTC) (2024). My advisor is Prof. Chao-Yang Lu. I also obtained my B.S. degree in Physics at the School of Gifted Young, USTC (2019).
I began my quantum journey on the experimental side of quantum computing, but later shifted my focus to the theoretical side, where I have been really enjoying designing new quantum algorithms and exploring quantum advantages. In my view, the current biggest bottleneck of quantum computing is the lack of applications. I hope to make quantum computing more useful and valuable by the day we finally create a universal fault-tolerant quantum computer!
News
New paper "Hamiltonian dynamics from pure dissipation"!
Paper "Boson Sampling Enhanced Quantum Chemistry" published in PRX Quantum!
Paper "Fast-forwardable Lindbladians imply quantum phase estimation" accepted as a contributed talk in QIP 2026!
Paper "Designing a Nearly Optimal Quantum Algorithm for Linear Differential Equations via Lindbladians" published in Physical Review Letters and accepted as a contributed talk in AQIS 2025!
Paper "A polynomial-time dissipation-based quantum algorithm for solving the ground states of a class of classically hard Hamiltonians" accepted as a contributed talk in AQIS 2024!
Papers
Unless marked as “alphabetical order”, the authors of papers are listed by contribution.
Peer-reviewed publications
Boson sampling enhanced quantum chemistry
Designing a Nearly Optimal Quantum Algorithm for Linear Differential Equations via Lindbladians
Realization of fractional quantum Hall state with interacting photons
Hermitian-preserving ansatz and variational open quantum eigensolver
Schrödinger-Heisenberg variational quantum algorithms
Quantum computer-aided design for advanced superconducting qubit: Plasmonium
Ruling out real-valued standard formalism of quantum theory
Preprints
Fast-forwardable Lindbladians imply quantum phase estimation
Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties
Bra-ket entanglement, an indicator bridging entanglement, magic, and coherence
Entanglement-induced exponential advantage in amplitude estimation via state matrixization
Unconditionally decoherence-free quantum error mitigation by density matrix vectorization
A polynomial-time dissipation-based quantum algorithm for solving the ground states of a class of classically hard Hamiltonians
Contact
Interested in collaboration or discussion regarding quantum algorithms?