ArticleNature communications2023
Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.Nano-micro letters · 2026Review
- AI and network biology for rational polypharmacology in signaling drug design: a review.NPJ precision oncology · 2026Review
- Intrinsic annealing in a hybrid memristor-magnetic tunnel junction Ising machine.Nature communications · 2026Article
- Multi-State Probabilistic Computing Using Floating-Body MOSFETs Based on the Potts Model for Solving Complex Combinatorial Optimization Problems.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- A hardware-adaptive learning algorithm for superlinear-capacity associative memory on memristor crossbars.Nature communications · 2026Article
- Quantum-Inspired Fast Algorithm and Circuit Realization for Constrained Combinatorial Optimization Problem.Research (Washington, D.C.) · 2026Article
- Programmable optoelectronic Ising machine for optimization of real-world problems.Light, science & applications · 2026Article
- Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory.Nature communications · 2025Article
- Next-generation graph computing with electric current-based and quantum-inspired approaches.Nature communications · 2025Review
- Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large-Scalability and Low-Power Consumption.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- ON-OFF neuromorphic ISING machines using Fowler-Nordheim annealers.Nature communications · 2025Article
- Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks.Nature communications · 2025Article
- Computing high-degree polynomial gradients in memory.Nature communications · 2024Article
- An integrated coupled oscillator network to solve optimization problems.Communications engineering · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Combinatorial optimization problems are prevalent in various fields, but obtaining exact solutions remains challenging due to the combinatorial explosion with increasing problem size. Special-purpose hardware such as Ising machines, particularly memristor-based analog Ising machines, have emerged as promising solutions. However, existing simulate-annealing-based implementations have not fully exploited the inherent parallelism and analog storage/processing features of memristor crossbar arrays. This work proposes a quantum-inspired parallel annealing method that enables full parallelism and improves solution quality, resulting in significant speed and energy improvement when implemented in analog memristor crossbars. We experimentally solved tasks, including unweighted and weighted Max-Cut and traveling salesman problem, using our integrated memristor chip. The quantum-inspired parallel annealing method implemented in memristor-based hardware has demonstrated significant improvements in time- and energy-efficiency compared to previously reported simulated annealing and Ising machine implemented on other technologies. This is because our approach effectively exploits the natural parallelism, analog conductance states, and all-to-all connection provided by memristor technology, promising its potential for solving complex optimization problems with greater efficiency.
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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.