ArticleCommunications engineering2024
An integrated coupled oscillator network to solve optimization problems.
Article in Communications engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Real-time black-box optimization for dynamic discrete environments using embedded Ising machines.Nature communications · 2026Article
- Nanosecond phase ordering in ultra-large spin Hall nano-oscillator lattices for unconventional computing.Nature nanotechnology · 2026Article
- Machine learning-assisted high-speed combinatorial optimization with Ising machines for dynamically changing problems.Nature communications · 2026Article
- Intrinsic annealing in a hybrid memristor-magnetic tunnel junction Ising machine.Nature communications · 2026Article
- Enhancing vehicle-mountable multiple object tracking systems with embeddable Ising machines.Nature communications · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Solving combinatorial optimization problems is essential in scientific, technological, and engineering applications, but can be very time and energy-consuming using classical algorithms executed on digital processors. Oscillator-based Ising machines offer a promising alternative by exploiting the analog coupling between electrical oscillators to solve such optimization problems more efficiently. Here we present the design and the capabilities of our scalable approach to solve Ising and quadratic unconstrained binary optimization problems. This approach includes routable oscillator connections to simplify the time-consuming embedding of the problem into the oscillator network. Our manufactured silicon chip, featuring 1440 oscillators implemented in a 28 nm technology, demonstrates the ability to solve optimization problems in 950 ns while consuming typically 319 μW per node. A frequency, phase, and delay calibration ensures robustness against manufacturing variations. The system is evaluated with multiple sets of benchmark problems to analyze the sensitivity for parameters such as the coupling strength or frequency.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.