Approximation of Quantum Stochastic Differential Equations for Input-Output Model Reduction

Abstract

We have completed a short program of theoretical research on dimensional reduction and approximation of models based on quantum stochastic differential equations. Our primary results lie in the area of modeling systems with time delays. We have developed a technique to approximate the dynamics of a linear passive QSDE network with time delays, within given limits on the complex plane, by truncation of an expansion in scattering poles.

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Document Details

Document Type
Technical Report
Publication Date
Feb 25, 2016
Accession Number
AD1007427

Entities

People

  • Hideo Mabuchi

Organizations

  • Stanford University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Computational Science
  • Computations
  • Data Science
  • Department Of Defense
  • Differential Equations
  • Engineering
  • Equations
  • High Performance Computing
  • Information Processing
  • Information Science
  • Mathematics
  • Physics
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Quantum Memories
  • Students

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Technical Research and Report Writing.

Technology Areas

  • Quantum Computing