English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

The search for new computational machines beyond the traditional von Neumannarchitecture has given rise to a modern area of nonlinear science --development of unconventional computing -- requiring the efforts ofmathematicians, physicists and engineers. Many analogue physical systemsincluding nonlinear oscillator networks, lasers, and condensates were proposedand realised to address hard computational problems from various areas ofsocial and physical sciences and technology. The analogue systems emulate spinHamiltonians with continuous or discrete degrees of freedom to which actualoptimisation problems can be mapped. Understanding the underlying physicalprocess by which the system finds the ground state often leads to new classesof system-inspired or quantum-inspired algorithms for hard optimisation.Together physical platforms and related algorithms can be combined to form ahybrid architecture that may one day compete with conventional computing. Inthis Chapter, we review some of the systems and physically-inspired algorithmsthat show such promise.

Nonlinear systems for unconventional computing