Image de couverture de livre

Encoding arbitrary Ising Hamiltonians on Spatial Photonic Ising Machines

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sakellariou, Jason, Askitopoulos, Alexis, Pastras, Georgios, Tsintzos, Symeon I.
Format:	Preprint
Publié:	2024
Sujets:	Optics Disordered Systems and Neural Networks Emerging Technologies Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints
par: Wang, Richard Zhipeng, et autres
Publié: (2024)

Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division
par: Veraldi, Daniele, et autres
Publié: (2024)

Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations
par: Berns, Rutger J. L. F., et autres
Publié: (2025)

Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction
par: Baumann, Attila, et autres
Publié: (2026)

Geometric Theory of Ising Machines
par: Moore, Andrew G., et autres
Publié: (2025)

Correspondence Between Ising Machines and Neural Networks
par: Moore, Andrew G.
Publié: (2025)

Spatial QUBO: Convolutional Formulation of Large-Scale Binary Optimization with Dense Interactions
par: Yamashita, Hiroshi, et autres
Publié: (2025)

Phase Retrieval via Gain-Based Photonic XY-Hamiltonian Optimization
par: Wang, Richard Zhipeng, et autres
Publié: (2025)

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
par: Pelofske, Elijah, et autres
Publié: (2023)

Coupling Light with Matter for Identifying Dominant Subnetworks
par: Kamaletdinov, Airat, et autres
Publié: (2024)

Highly Versatile FPGA-Implemented Cyber Coherent Ising Machine
par: Aonishi, Toru, et autres
Publié: (2024)

Training nonlinear optical neural networks with Scattering Backpropagation
par: Cin, Nicola Dal, et autres
Publié: (2025)

Probabilistic Computing Optimization of Complex Spin-Glass Topologies
par: Hasselgren, Fredrik, et autres
Publié: (2025)

Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
par: Chowdhury, Shuvro, et autres
Publié: (2025)

Noise-augmented Chaotic Ising Machines for Combinatorial Optimization and Sampling
par: Lee, Kyle, et autres
Publié: (2024)

Online unsupervised Hebbian learning in deep photonic neuromorphic networks
par: Li, Xi, et autres
Publié: (2026)

Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment
par: Wang, Ziao, et autres
Publié: (2024)

Nonlinear optical encoding enabled by recurrent linear scattering
par: Xia, Fei, et autres
Publié: (2023)

Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
par: Wang, Qingshan, et autres
Publié: (2024)

4-clique Network Minor Embedding for Quantum Annealers
par: Pelofske, Elijah
Publié: (2023)

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
par: Zhu, Ruomin, et autres
Publié: (2026)

Performance report of heuristic algorithm that cracked the largest Gset Ising problems (G81 cut=14060)
par: Zick, Kenneth M.
Publié: (2025)

Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
par: Wanjura, Clara C., et autres
Publié: (2024)

Probabilistic Computers for Neural Quantum States
par: Chowdhury, Shuvro, et autres
Publié: (2025)

Training single-electron and single-photon stochastic physical neural networks
par: Dou, Tong, et autres
Publié: (2026)

Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
par: Abel, Steven, et autres
Publié: (2026)

Complex Vector Gain-Based Annealer for Minimizing XY Hamiltonians
par: Cummins, James S., et autres
Publié: (2024)

Solving Sudoku using oscillatory neural networks
par: Haverkort, Bram F., et autres
Publié: (2025)

Intrinsic Neuro-Synaptic Spiking Dynamics and Resonance in Memristive Networks
par: Xu, Yinhao, et autres
Publié: (2026)

SPICE Modeling of Memcomputing Logic Gates
par: Pershin, Y. V.
Publié: (2023)

Spatio-temporal evolution of resistance state in simulated memristive networks
par: Di Francesco, Fabrizio, et autres
Publié: (2021)

Quest for a solution to drift in phase change memory devices
par: Kersting, Benedikt
Publié: (2024)

Brain-like features of MemComputing machines
par: Di Ventra, Massimiliano
Publié: (2023)

Training and synchronizing oscillator networks with Equilibrium Propagation
par: Rageau, Théophile, et autres
Publié: (2025)

Parallel spatial photonic Ising machine using spatial multiplexing for accelerating combinatorial optimization
par: Shimomura, Suguru, et autres
Publié: (2025)

Polaritonic Machine Learning for Graph-based Data Analysis
par: Wang, Yuan, et autres
Publié: (2025)

Towards Timetronics with Photonic Systems
par: Kopaei, Ali Emami, et autres
Publié: (2024)

Anderson Localization in Photonic Time Crystals
par: Eswaran, Karthik Subramaniam, et autres
Publié: (2024)

How to realize compact and non-compact localized states in disorder-free hypercube networks
par: Arkhipov, Ievgen I., et autres
Publié: (2024)

Thermodynamic coprocessor for linear operations with input-size-independent calculation time based on open quantum system
par: Vovchenko, I. V., et autres
Publié: (2025)