publications

The latest list can be found on INSPIRE-HEP.

2026

  1. Conditional neural control variates for variance reduction in Bayesian inverse problems
    Ali Siahkoohi, and Hyunwoo Oh
    Feb 2026
  2. Practical limitations of the switching theorem for adiabatic state preparation
    Thomas D. Cohen, Andrew Li, Hyunwoo Oh, and Maneesha Sushama Pradeep
    Eur. Phys. J. D, Apr 2026
    DOI

2025

  1. Training neural control variates using correlated configurations
    Hyunwoo Oh
    Phys. Rev. D, Oct 2025
    DOI
  2. Control variates with neural networks
    Hyunwoo Oh
    PoS, Dec 2025
    DOI
  3. Asymptotic errors in adiabatic evolution
    Thomas D. Cohen, and Hyunwoo Oh
    Phys. Rev. A, Apr 2025
    DOI

2024

  1. Numerical study of computational cost of maintaining adiabaticity for long paths
    Thomas D. Cohen, Hyunwoo Oh, and Veronica Wang
    Dec 2024
  2. Corrections to adiabatic behavior for long paths
    Thomas D. Cohen, and Hyunwoo Oh
    Phys. Rev. A, Dec 2024
    DOI
  3. Leveraging neural control variates for enhanced precision in lattice field theory
    Paulo F. Bedaque, and Hyunwoo Oh
    Phys. Rev. D, May 2024
    DOI
  4. A solution for infinite variance problem of fermionic observables
    Hyunwoo Oh, Andrei Alexandru, Paulo F. Bedaque, and Andrea Carosso
    PoS, Nov 2024
    DOI
  5. Efficient vacuum-state preparation for quantum simulation of strongly interacting local quantum field theories
    Thomas D. Cohen, and Hyunwoo Oh
    Phys. Rev. A, Feb 2024
    DOI

2023

  1. Optimizing the rodeo projection algorithm
    Thomas D. Cohen, and Hyunwoo Oh
    Phys. Rev. A, Sep 2023
    DOI
  2. Infinite variance problem in fermion models
    Andrei Alexandru, Paulo F. Bedaque, Andrea Carosso, and Hyunwoo Oh
    Phys. Rev. D, May 2023
    DOI

2022

  1. Lattice scalar field theory at complex coupling
    Scott Lawrence, Hyunwoo Oh, and Yukari Yamauchi
    Phys. Rev. D, Dec 2022
    DOI