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Random State Technology

2020/10/09 by Fengpin Jin, Fengping Jin, Dennis Willsch +4
Computer Science · Physics and Astronomy · #Computer simulation #Field (mathematics) #Quantum #Quantum Computing Algorithms and Architecture #Quantum and electron transport phenomena #Quantum many-body systems #Quantum state #Random field #Random variable #Spin (aerodynamics) #State (computer science) #Stochastic process #physics.comp-ph #quant-ph

paper · pdf · doi:10.7566/jpsj.90.012001

published as J. Phys. Soc. Jpn., Vol.90, No.1, Article ID: 012001 (2021)

arxiv created 2020/10/09 · openalex created_date 2020/10/15 · openalex publication_date 2020/12/04 · arxiv updated 2020/12/07 · openalex updated_date 2026/08/05

Abstract

We review and extend, in a self-contained way, the mathematical foundations of numerical simulation methods that are based on the use of random states. The power and versatility of this simulation technology is illustrated by calculations of physically relevant properties such as the density of states of large single particle systems, the specific heat, current-current correlations, density-density correlations, and electron spin resonance spectra of many-body systems. We explore a new field of applications of the random state technology by showing that it can be used to analyze numerical simulations and experiments that aim to realize quantum supremacy on a noisy intermediate-scale quantum processor. Additionally, we show that concepts of the random state technology prove useful in quantum information theory.

Citations