Jiayu Shen

ORCID: 0000-0002-2949-4038
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About
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Research Areas
  • Cold Atom Physics and Bose-Einstein Condensates
  • Quantum and electron transport phenomena
  • Quantum many-body systems
  • Statistical Methods and Inference
  • Bayesian Methods and Mixture Models
  • Quantum Mechanics and Applications
  • Theoretical and Computational Physics
  • Full-Duplex Wireless Communications
  • Quantum, superfluid, helium dynamics
  • Advanced Chemical Physics Studies
  • Topological Materials and Phenomena
  • Advanced MIMO Systems Optimization
  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Millimeter-Wave Propagation and Modeling

Urbana University
2023

University of Illinois Urbana-Champaign
2020-2023

Gauge theories appear broadly in physics, ranging from the standard model of particle physics to long-wavelength descriptions topological systems condensed matter. However, with sign problems are largely inaccessible classical computations and also beyond current limitations digital quantum hardware. In this work, we develop an analog approach simulating gauge experimental setup that employs dipolar spins (molecules or Rydberg atoms). We consider molecules fixed space interacting through...

10.1103/physreva.102.032617 article EN Physical review. A/Physical review, A 2020-09-17

Lattice QCD is notorious for its computational expense. Modern lattice simulations require large-scale resources to handle the high number of Dirac operator inversions used construct correlation functions. Machine learning (ML) techniques that can increase, at analysis level, information inferred from functions would therefore be beneficial. We apply supervised infer two-point different target masses. Our work proposes a new method separating data into training and bias correction subsets...

10.22323/1.466.0420 article EN cc-by-nc-nd 2025-01-09

A topological $\ensuremath{\theta}$-term in gauge theories, including quantum chromodynamics $3+1$ dimensions, gives rise to a sign problem that makes classical Monte Carlo simulations impractical. Quantum are not subject such problems and promising approach studying these theories the future. In near term, it is interesting study simpler models retain some of physical phenomena interest their implementation on hardware. For example, dimensionally reducing small spatial tori produces...

10.1103/physrevd.105.074505 article EN Physical review. D/Physical review. D. 2022-04-19

The decay rate of a metastable vacuum is usually calculated using semiclassical approximation to the Euclidean path integral. extension complete lattice Monte Carlo computation, however, hampered by analytic continuations that are ill-suited numerical treatment, and nonequilibrium nature state. In this paper we develop new methodology compute rates from simulations theories. To test method, consider simple quantum mechanical systems with vacua. This work can be extended field theories, which...

10.1103/physrevd.107.094506 article EN cc-by Physical review. D/Physical review. D. 2023-05-15

Suppression of diabatic transitions in quantum adiabatic evolution stands as a significant challenge for ground state preparations. Counterdiabatic driving has been proposed to compensate losses and achieve shortcut adiabaticity. However, its implementation necessitates the generation gauge potential, which requires knowledge spectral gap instantaneous Hamiltonians involves highly non-local drivings many-body systems. In this work, we consider local counterdiabatic (LCD) with approximate...

10.48550/arxiv.2403.01854 preprint EN arXiv (Cornell University) 2024-03-04

Lattice QCD is notorious for its computational expense. Modern lattice simulations require large-scale resources to handle the large number of Dirac operator inversions used construct correlation functions. Machine learning (ML) techniques that can increase, at analysis level, information inferred from functions would therefore be beneficial. We apply supervised infer two-point different target masses. Our work proposes a new method separating data into training and bias correction subsets...

10.48550/arxiv.2412.21147 preprint EN arXiv (Cornell University) 2024-12-30

We study the promising idea of using dipolar molecular systems as analog quantum simulators for link models, which are discrete versions lattice gauge theories. In a model variables have finite number degrees freedom and values. construct effective Hamiltonian system molecules with electric dipole-dipole interactions, where we use tunable parameters to match it target describing $U(1)$ in $1+1$ dimensions.

10.22323/1.363.0125 article EN cc-by-nc-nd Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022) 2020-01-26

We study the promising idea of using dipolar molecular systems as analog quantum simulators for link models, which are discrete versions lattice gauge theories. In a model variables have finite number degrees freedom and values. construct effective Hamiltonian system molecules with electric dipole-dipole interactions, where we use tunable parameters to match it target describing U(1) in 1+1 dimensions.

10.48550/arxiv.2001.10002 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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