Quantum State Reduction

TL;DR

This paper introduces an energy-driven stochastic master equation as a new dynamical model for quantum state reduction, utilizing nonlinear filtering theory to derive solutions that describe the collapse process.

Contribution

It presents a novel energy-driven stochastic master equation for quantum state reduction and constructs its general solution using nonlinear filtering theory.

Findings

The solution is a completely positive stochastic map.

The model provides a new perspective on quantum state collapse.

Properties of the reduction process are analyzed.

Abstract

We propose an energy-driven stochastic master equation for the density matrix as a dynamical model for quantum state reduction. In contrast, most previous studies of state reduction have considered stochastic extensions of the Schr\"odinger equation, and have introduced the density matrix as the expectation of the random pure projection operator associated with the evolving state vector. After working out properties of the reduction process we construct a general solution to the energy-driven stochastic master equation. The solution is obtained by the use of nonlinear filtering theory and takes the form of a completely positive stochastic map.