Occams Quantum Strop: Synchronizing and Compressing Classical Cryptic Processes via a Quantum Channel (Open Source)

Abstract

A stochastic process statistical complexity stands out as a fundamental property: the minimum information required to synchronize one process generator to another. How much information is required, though, when synchronizing over a quantum channel? Recent work demonstrated that representing causal similarity as quantum state-indistinguishability provides a quantum advantage. We generalize this to synchronization and offer a sequence of constructions that exploit extended causal structures, finding substantial increase of the quantum advantage. We demonstrate that maximum compression is determined by the process cryptic order a classical, topological property closely allied to Markov order, itself a measure of historical dependence. We introduce an efficient algorithm that computes the quantum advantage and close noting that the advantage comes at a cost one trades off prediction for generation complexity.

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 2016
Accession Number
AD1042169

Entities

People

  • Cina Aghamohammadi
  • James P. Crutchfield
  • John R. Mahoney

Organizations

  • University of California, Davis

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Neuroscience
  • Computational Science
  • Computations
  • Computer Science
  • Excess Entropy
  • Information Processing
  • Materials
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Quantum Computing
  • Quantum Information
  • Quantum Properties
  • Quantum States
  • Random Variables
  • Stochastic Processes

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Neural Network Machine Learning.
  • Quantum Chemistry

Technology Areas

  • Quantum Computing