Novel models of computation from novel physical substrates: a bosonic example
This addresses the challenge of optimizing computational efficiency for researchers and engineers working with unconventional physical substrates, though it appears incremental as it builds on existing ideas with a specific example.
The paper tackles the problem of underutilizing novel physical computing devices by proposing a methodology to derive computation models and domain-specific languages tailored to a device's capabilities, illustrated with a bosonic computing case study using a multi-component interferometer.
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.