Ising machines as hardware solvers of combinatorial optimization problems

N Mohseni, PL McMahon, T Byrnes - Nature Reviews Physics, 2022 - nature.com
Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

Spintronic devices for high-density memory and neuromorphic computing–A review

BJ Chen, M Zeng, KH Khoo, D Das, X Fong, S Fukami… - Materials Today, 2023 - Elsevier
Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …

Advances in magnetics roadmap on spin-wave computing

AV Chumak, P Kabos, M Wu, C Abert… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Magnonics addresses the physical properties of spin waves and utilizes them for data
processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency …

Phase-binarized spin hall nano-oscillator arrays: Towards spin hall ising machines

A Houshang, M Zahedinejad, S Muralidhar… - Physical Review …, 2022 - APS
Ising machines (IMs) are physical systems designed to find solutions to combinatorial
optimization (CO) problems mapped onto the IM via the coupling strengths between its …

[HTML][HTML] Electrically connected spin-torque oscillators array for 2.4 GHz WiFi band transmission and energy harvesting

R Sharma, R Mishra, T Ngo, YX Guo, S Fukami… - Nature …, 2021 - nature.com
The mutual synchronization of spin-torque oscillators (STOs) is critical for communication,
energy harvesting and neuromorphic applications. Short range magnetic coupling-based …

[HTML][HTML] A spinwave Ising machine

A Litvinenko, R Khymyn, VH González… - Communications …, 2023 - nature.com
Abstract Time-multiplexed Coherent Ising Machines (CIMs) have demonstrated promising
results in rapidly solving large-scale combinatorial problems. However, CIMs remain …

Organic memristor‐based flexible neural networks with bio‐realistic synaptic plasticity for complex combinatorial optimization

H Kim, M Kim, A Lee, HL Park, J Jang… - Advanced …, 2023 - Wiley Online Library
Hardware neural networks with mechanical flexibility are promising next‐generation
computing systems for smart wearable electronics. Several studies have been conducted on …

[HTML][HTML] Fabrication of voltage-gated spin Hall nano-oscillators

A Kumar, M Rajabali, VH González, M Zahedinejad… - Nanoscale, 2022 - pubs.rsc.org
We demonstrate an optimized fabrication process for electric field (voltage gate) controlled
nano-constriction spin Hall nano-oscillators (SHNOs), achieving feature sizes of< 30 nm with …

Energy-Efficient Co-Fe-B/MgO Spin Hall Nano-Oscillators

N Behera, H Fulara, L Bainsla, A Kumar… - Physical Review …, 2022 - APS
We investigate a W-Ta alloying route to reduce the auto-oscillation threshold current
densities and the power consumption of nanoconstriction based spin Hall nano-oscillators …

Robust mutual synchronization in long spin Hall nano-oscillator chains

A Kumar, H Fulara, R Khymyn, A Litvinenko… - Nano Letters, 2023 - ACS Publications
Mutual synchronization of N serially connected spintronic nano-oscillators boosts their
coherence by N and peak power by N 2. Increasing the number of synchronized nano …