From Many-Body Quantum Systems to Classical Turbulence- Novel Horizons of Tensor Networks

Abstract

With the emergence of the Second Quantum Revolution comes the realization that we humans are no longer passive spectators of the quantum world. We are now at a stage that we can use quantum science to invent quantum technologies. Two of such technologies that are expected to have major breakthroughs within this century are Quantum Computing and Quantum Information (QCQI). As a technology enabler, QCQI has been experiencing significant growth over the past decade. This proposal provides the description of a transdisciplinary research program to move forward towards quantum computing for modeling and simulation of turbulence and combustion systems. The essential idea is based on the use of a novel quantum-inspired tensor network (TN) algorithm, and will be utilized for deterministic and stochastic description of turbulence and combustion systems. The proposed program is one of the very first, in which quantum inspired TN methodology will be pursued to solve practical problems in turbulence and reactive flows.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 22, 2024
Source ID
FA95502310014

Entities

People

  • Peyman Givi

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Pittsburgh

Tags

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • Quantum Computing