Cover Image

Spatial QUBO: Convolutional Formulation of Large-Scale Binary Optimization with Dense Interactions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yamashita, Hiroshi, Suzuki, Hideyuki
Format:	Preprint
Published:	2025
Subjects:	Disordered Systems and Neural Networks Emerging Technologies Applied Physics Optics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division
by: Veraldi, Daniele, et al.
Published: (2024)

Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment
by: Wang, Ziao, et al.
Published: (2024)

Nonlinear optical encoding enabled by recurrent linear scattering
by: Xia, Fei, et al.
Published: (2023)

Encoding arbitrary Ising Hamiltonians on Spatial Photonic Ising Machines
by: Sakellariou, Jason, et al.
Published: (2024)

Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction
by: Baumann, Attila, et al.
Published: (2026)

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

Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures
by: Sedov, Evgeny, et al.
Published: (2024)

Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints
by: Wang, Richard Zhipeng, et al.
Published: (2024)

Training nonlinear optical neural networks with Scattering Backpropagation
by: Cin, Nicola Dal, et al.
Published: (2025)

Hybrid Magnonic Reservoir Computing
by: Abbott, Cliff B., et al.
Published: (2024)

Online unsupervised Hebbian learning in deep photonic neuromorphic networks
by: Li, Xi, et al.
Published: (2026)

Phase Retrieval via Gain-Based Photonic XY-Hamiltonian Optimization
by: Wang, Richard Zhipeng, et al.
Published: (2025)

Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
by: Wang, Qingshan, et al.
Published: (2024)

Coupling Light with Matter for Identifying Dominant Subnetworks
by: Kamaletdinov, Airat, et al.
Published: (2024)

Probabilistic Computing Optimization of Complex Spin-Glass Topologies
by: Hasselgren, Fredrik, et al.
Published: (2025)

Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
by: Chowdhury, Shuvro, et al.
Published: (2025)

Solving Sudoku using oscillatory neural networks
by: Haverkort, Bram F., et al.
Published: (2025)

Geometric Theory of Ising Machines
by: Moore, Andrew G., et al.
Published: (2025)

Intrinsic Neuro-Synaptic Spiking Dynamics and Resonance in Memristive Networks
by: Xu, Yinhao, et al.
Published: (2026)

SPICE Modeling of Memcomputing Logic Gates
by: Pershin, Y. V.
Published: (2023)

Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations
by: Berns, Rutger J. L. F., et al.
Published: (2025)

Spatio-temporal evolution of resistance state in simulated memristive networks
by: Di Francesco, Fabrizio, et al.
Published: (2021)

Brain-like features of MemComputing machines
by: Di Ventra, Massimiliano
Published: (2023)

Inverse design of mirror-symmetric disordered systems for broadband perfect transmission
by: Zhumabay, Zhazira, et al.
Published: (2025)

Parallel spatial photonic Ising machine using spatial multiplexing for accelerating combinatorial optimization
by: Shimomura, Suguru, et al.
Published: (2025)

Analyzing partially-polarized light with a photonic deep random neural network
by: Petrini, Alessandro, et al.
Published: (2025)

Multiscale Physics-Informed Neural Networks for the Inverse Design of Hyperuniform Optical Materials
by: Riganti, Roberto, et al.
Published: (2024)

An introduction to reservoir computing
by: Vrugt, Michael te
Published: (2024)

Spatial Optical Simulator for Classical Statistical Models
by: Yu, Song-Tao, et al.
Published: (2024)

Training and synchronizing oscillator networks with Equilibrium Propagation
by: Rageau, Théophile, et al.
Published: (2025)

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

Complex Vector Gain-Based Annealer for Minimizing XY Hamiltonians
by: Cummins, James S., et al.
Published: (2024)

Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
by: Pelofske, Elijah, et al.
Published: (2023)

Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
by: Zahoor, Furqan, et al.
Published: (2025)

Dynamic Reservoir Computing with Physical Neuromorphic Networks
by: Xu, Yinhao, et al.
Published: (2025)

Learning Chaotic Dynamics with Neuromorphic Network Dynamics
by: Xu, Yinhao, et al.
Published: (2025)

A Fast Algorithm to Simulate Nonlinear Resistive Networks
by: Scellier, Benjamin
Published: (2024)

Probabilistic Computers for Neural Quantum States
by: Chowdhury, Shuvro, et al.
Published: (2025)

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

Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
by: Wanjura, Clara C., et al.
Published: (2024)