Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware for information processing, capable of highly sophisticated tasks. Systems built with standard electronics achieve gains in speed and energy by mimicking the dist
Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware for information processing, capable of highly sophisticated tasks. Systems built with standard electronics achieve gains in speed and energy by mimicking the distributed topology of the brain. Scaling-up such systems...
In this Review, we discuss these emerging platforms in the context of applications in topological lasing, classical neuromorphic computing and quantum information processing. Key points Polariton lasers are coherent light emitters based on bosonic condensates of half-light, half-matter quasiparticles: ...
The particle-like behaviour of magnetic skyrmions is exploited to perform a fundamental neuromorphic computing operation: the weighted summation of synaptic signals. The use of skyrmions enables a compact and energy-efficient implementation that could pave the way for neuromorphic spintronic components that...
There has been a resurgence of interest in optical computing since the early 2010s, both in academia and in industry, with much of the excitement centred around special-purpose optical computers for neural-network processing. Optical computing has been a
In the computational intelligence field of study neuromorphic computing is close to reaching critical mass to enable low power compact hardware systems to perform intelligent cognitive functions. The fundamental technical challenge that has prevented this technology from becoming reality is the development of...
Memristors themselves are promising devices for realising multi-state memory, physical neural networks and neuromorphic computing [1]. Recently, we have developed high quality organic memristors that emulate the synaptic behaviour of the brain using squaraine molecules, first us...
diploma of freedom, with implications withinside the performance of facts garage and transfer. Spintronic structures are most customarily realised in dilute magnetic semiconductors (DMS) and Heusler alloys and are of specific hobby withinside the area of quantum computing andneuromorphic computing. ...
M. R. Pufall, W. H. Rippard, P. F. Hopkins, P. D. Dresselhaus, and S. P. Benz, inStochastic single flux quantum neuromorphic computing using magnetically tunable Josephson junctions: Proceedings of the 2016 IEEE International Conference on Rebooting Computing (ICRC)(San Diego, 2016), pp...
Physics for neuromorphic computing. Nat. Rev. Phys. 2, 499–510 (2020). Google Scholar Bogaerts, W. & Rahim, A. Programmable photonics: an opportunity for an accessible large-volume pic ecosystem. IEEE J. Sel. Top. Quantum Electron. 26, 1–17 (2020). Google Scholar Shastri, B. J...