Min-Hsiu Hsieh

่ฌๆ˜Žไฟฎ
๐ŸŒ

Real-World Applications

Bridging quantum computing with practical applications in simulation, sensing, and communication

Overview

Quantum computers promise to revolutionize fields from drug discovery to materials science, from precision sensing to secure communication. Our research translates quantum computing capabilities into practical solutions for real-world challenges.

We develop quantum simulation algorithms for chemistry and materials, quantum metrology protocols for precision sensing, and quantum communication schemes for secure information transfer. Our work on fermionic compression encoding and quantum chemistry simulations demonstrates practical pathways to quantum advantage in scientific computing.

Research Topics

๐Ÿงช

Quantum Simulation

Developing quantum algorithms for simulating chemical systems, materials, and physical processes. Our work includes fermionic compression encoding and resource-efficient quantum chemistry.

Learn More
๐Ÿ“

Quantum Metrology

Enhancing precision measurement and sensing using quantum resources. Our research explores quantum-enhanced sensing protocols and fundamental limits of measurement precision.

Learn More
๐Ÿ“ก

Quantum Communication

Designing quantum communication protocols for secure information transfer and distributed quantum computing. Our work addresses multiple-access channels and state redistribution.

Learn More

Key Contributions

  • Fermionic compression encoding โ€” Developed resource-efficient encoding schemes for fermionic systems, enabling practical quantum chemistry simulations on near-term devices (Physical Review Research, 2026)
  • Quantum chemistry simulations โ€” Created hybrid quantum-classical algorithms for molecular simulation, demonstrating pathways to quantum advantage in computational chemistry (npj Quantum Information, 2026)
  • Entanglement-assisted multiple-access channels โ€” Established capacity regions for quantum multiple-access communication, enabling efficient multi-user quantum communication (ISIT 2021, npj Quantum Information 2021)
  • Universal classical-quantum channel coding โ€” Developed universal protocols for private channel coding and channel resolvability, with applications to secure quantum communication (arXiv 2025)

Selected Publications

  • Neural network assisted fermionic compression encoding: A lossy quantum-selected configuration interaction framework
    YC Chen, R Wu, MH Cheng, MH Hsieh
    Physical Review Research 8 (1), 013128, 2026
  • Hybrid Quantum-Classical Clustering for Preparing a Prior Distribution of Eigenspectrum
    M Ren, YC Chen, CJ Lai, MH Hsieh, A Hu
    npj Quantum Information, 2026
  • Entanglement-assisted multiple-access channels: capacity regions and protocol designs
    H Shi, MH Hsieh, S Guha, Z Zhang, Q Zhuang
    npj Quantum Information 7, 74, 2021
  • Universal classical-quantum channel resolvability and private channel coding
    T Matsuura, M Hayashi, MH Hsieh
    arXiv preprint arXiv:2510.02883, 2025
  • Optimal number-conserved linear encoding for practical fermionic simulation
    MH Cheng, YC Chen, Q Wang, V Bartsch, AC Medina, MS Kim, A Hu, MH Hsieh
    Physical Review Research 7, 033280, 2025
  • Capacity of First Arrival Position Channel in Diffusion-Based Molecular Communication
    YC Lee, MH Hsieh
    IEEE ICC 2024, 4120-4125
Back to Research Overview