Quantized Detector Networks: A review of recent developments

TL;DR

Quantized Detector Networks (QDN) offer a framework focusing on observers and their apparatus, using quantum computation language to describe quantum experiments involving interference, non-locality, and entanglement.

Contribution

This review introduces QDN as a novel approach emphasizing observers and apparatus, integrating quantum computation to analyze complex quantum phenomena.

Findings

QDN effectively models quantum interference and entanglement.

It addresses time-dependent apparatus and inter-frame physics.

Applications in quantum optics demonstrate the formalism's utility.

Abstract

QDN (quantized detector networks) is a description of quantum processes in which the principal focus is on observers and their apparatus, rather than on states of SUOs (systems under observation). It is a realization of Heisenberg's original instrumentalist approach to quantum physics and can deal with time dependent apparatus, multiple observers and inter-frame physics. QDN is most naturally expressed in the mathematical language of quantum computation, a language ideally suited to describe quantum experiments as processes of information exchange between observers and their apparatus. Examples in quantum optics are given, showing how the formalism deals with quantum interference, non-locality and entanglement. Particle decays, relativity and non-linearity in quantum mechanics are discussed.