Time-Symmetric Physics: A Radical Approach to the Decoherence Problem

TL;DR

This paper proposes a novel time-symmetric physics framework to model analog quantum computers, aiming to address decoherence and dissipation issues in quantum learning systems by exploring backwards-time free energy sources.

Contribution

It introduces a new formulation of time-symmetric physics for modeling quantum computers and investigates backwards-time free energy as a means to combat decoherence.

Findings

A new time-symmetric physics model for quantum computers

Potential sources of backwards-time free energy identified

Implications for reducing decoherence in quantum systems

Abstract

The most powerful form of quantum learning system possible would somehow learn the parameters W of a quantum system f(X, W), for f representing the largest, most powerful set of possible input-output relations. This paper addresses the issue of how to enlarge the set represented by f, by using a new formulation of time-symmetric physics to model analog quantum computers based on spin and by exploring possible sources of backwards-time free energy so as to address problems of decoherence and dissipation.