Research profile
I am a Physics PhD candidate in the Department of Physics at the University of Massachusetts Amherst, working with Stefan Krastanov in the Center for Quantum Networks (NSF ERC). My research combines stabilizer and Clifford methods, graph theory, simulation, and combinatorial optimization to design quantum-state preparation and entanglement distillation protocols under noise and finite-resource constraints. My broader goal is to connect these methods to quantum error correction and resource-efficient distributed fault-tolerant architectures.
Education
2021–present
PhD in Physics, in progress
University of Massachusetts Amherst
Advisor: Prof. Stefan Krastanov. Research in graph-state entanglement distillation, quantum networks, and quantum error correction.
2016–2019
BS in Physics and BS in Mathematics
Case Western Reserve University
Undergraduate research advisor: Prof. Xuan Gao.
Research experience
2023–present
Graduate Researcher
Krastanov Lab, University of Massachusetts Amherst
Center for Quantum Networks (NSF Engineering Research Center). Advisor: Prof. Stefan Krastanov.
Ongoing research
- Studying which correlated error distributions are reachable when a target graph state is assembled from a constrained library of noisy resource states and fusion operations.
- Developing task-aware synthesis methods that choose decompositions and fusion plans according to the needs of downstream quantum-network and error-correction protocols.
Manuscript in preparation
- Formulated partial-distillation sequence selection as a combinatorial optimization problem governed by correlated noise propagation, structural equivalences, and predecessor-set costs with higher-order ordering effects.
- Developed PairMoment, a reduced model with an O(n²) state representation that tracks single-vertex error probabilities and pair correlations for sequence optimization.
Preprint · submitted to npj Quantum Information
- Characterized factorized graph-preserving Clifford operations using bipartiteness and leaf structure.
- Used minimum-edge representatives to organize gate families and transfer purification circuits between locally Clifford-equivalent graph states.
Preprint · submitted to Quantum
- Derived an affine binary representation of GHZ-basis labels and the action of preserving gates, enabling O(1) online label updates.
- Implemented GHZPreserving.jl for noisy-circuit search and finite-resource distillation optimization.
Scientific software development
- Implemented a Julia API for Gaussian quantum-optics simulation, including beam splitters, squeezing, loss channels, and covariance-matrix transformations.
Publications & manuscripts
Manuscript in preparation
- Sequence Control for Partial Distillation of Graph States with Pair-Moment Propagation
Mingyuan Wang, Stefan Krastanov
Manuscript in preparation
Preprints
- Efficient Graph State Purification with Factorized Graph-Preserving Operations across Local Clifford Orbits
Mingyuan Wang, Guus Avis, Kenneth Goodenough, Stefan Krastanov
arXiv:2606.23809 (2026) · Preprint · submitted to npj Quantum Information
- GHZ-Preserving Gates and Optimized Distillation Circuits
Mingyuan Wang, Guus Avis, Stefan Krastanov
arXiv:2510.25854 (2025) · Preprint · submitted to Quantum
Journal articles
- Interfacial Charge Transfer and Gate-Induced Hysteresis in Monochalcogenide InSe/GaSe Heterostructures
Arvind Shankar Kumar, Mingyuan Wang, Yancheng Li, Ryuji Fujita, Xuan P. A. Gao
ACS Applied Materials & Interfaces 12(41), 46854–46861 (2020) · Published
- Wide Aperture Exoplanet Telescope: a low-cost flat configuration for a 100+ meter ground based telescope
Benjamin Monreal, Christian Rodriguez, Ama Carney, Robert Halliday, Mingyuan Wang
Journal of Astronomical Telescopes, Instruments, and Systems 4(2), 024001 (2018) · Published
Selected research talks
February 2026
Efficient Graph State Purification with Factorized Graph-Preserving Operations across Local Clifford Orbits
Center for Quantum Networks Annual All-Center Retreat
Amherst, MA
2025
GHZ-Preserving Gates and Optimized Distillation Circuits
Center for Quantum Networks Site Visit
Tucson, AZ
Technical expertise
- Quantum information
- Stabilizer formalism; Clifford circuits; graph and GHZ states; entanglement distillation and purification; quantum error correction; noisy-circuit simulation; logical-error estimation.
- Scientific computing
- Julia, Python, MATLAB; Monte Carlo methods; combinatorial and numerical optimization; graph algorithms; Linux and high-performance computing with Slurm; scientific software development.
- Experimental methods
- 2D-material fabrication and nanofabrication; Raman spectroscopy; cryogenic transport; magnetic-field and pressure-dependent measurements.
Leadership & teaching
Engineering Workforce Development Liaison
Student and Postdoc Leadership Council, NSF Center for Quantum Networks
2021–2024
Teaching Assistant
Department of Physics, University of Massachusetts Amherst
2017
Teaching Assistant
Case Western Reserve University
Earlier research experience
2021–2023
Graduate Researcher
Jun Yan Lab, University of Massachusetts Amherst
Twisted-bilayer graphene: Raman spectroscopy, cryogenic transport, magnetic fields, and pressure tuning.
2020
R&D Intern
Fuxi Technology
Graphene thermal materials.
2017–2019
Undergraduate Researcher
Xuan Gao Lab, Case Western Reserve University
Van der Waals heterostructures.
2017–2018
Undergraduate Researcher
Benjamin Monreal Lab, Case Western Reserve University
Wide-aperture telescope design.