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

📅 2026-03-25
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🤖 AI Summary
This work addresses the challenge that conventional computational models struggle to harness the full potential of emerging physical devices such as those based on bosonic interference. To bridge this gap, the authors propose a bottom-up approach that tailors computational models and domain-specific languages directly to the intrinsic characteristics of specific hardware platforms. Using multi-component boson interferometers as a concrete example, they develop a novel computational paradigm tightly aligned with the underlying physical mechanisms, thereby transcending the limitations of traditional logic circuits or neuromorphic computing architectures. This study presents the first systematic framework for hardware-aware computational abstraction and programming language design, significantly enhancing both programmability and computational efficiency for unconventional physical substrates.

Technology Category

Machine Learning: Hardware-aware MLHumans and AI: Other Foundations of Human Computation & AICognitive Modeling & Cognitive Systems: (Computational) Cognitive Architectures

Application Category

Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystemsSystems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deploymentsSocial Networks and Social Media: Computational social science
📝 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.
Problem

Research questions and friction points this paper is trying to address.

unconventional computing
physical substrate
bosonic computing
computational model
domain-specific language
Innovation

Methods, ideas, or system contributions that make the work stand out.

unconventional computing
bosonic computing
domain-specific language
physical substrate
computational model
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