Novel models of computation from novel physical substrates: a bosonic example

TL;DR

This paper proposes a methodology to develop models of computation tailored to novel physical substrates, demonstrated through a case study of bosonic computing using a multi-component interferometer.

Contribution

It introduces a systematic approach for deriving computation models aligned with physical device capabilities, moving beyond traditional logic and neuromorphic paradigms.

Findings

Developed a domain-specific language for bosonic computing

Demonstrated the methodology with a bosonic interferometer case study

Showed potential for exploiting physical devices' unique features

Abstract

Unconventional physical computing is producing many novel and exotic devices that can potentially be used in a computational mode. Currently, these tend to be used to implement traditional models of computation, such as boolean logic circuits, or neuromorphic approaches. This runs the risk of failing to exploit the devices to their full potential. Here we describe a methodology for deriving a model of computation and domain specific language more closely matched to a given physical device's capabilities, and illustrate it with a case study of bosonic computing as implemented by a physical multi-component interferometer.