Imagen de Portada

Quest for a solution to drift in phase change memory devices

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Kersting, Benedikt
Formato:	Preprint
Publicado:	2024
Materias:	Applied Physics Disordered Systems and Neural Networks Emerging Technologies
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Spatial QUBO: Convolutional Formulation of Large-Scale Binary Optimization with Dense Interactions
por: Yamashita, Hiroshi, et al.
Publicado: (2025)

Hybrid Magnonic Reservoir Computing
por: Abbott, Cliff B., et al.
Publicado: (2024)

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

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

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

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

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

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

SPICE Modeling of Memcomputing Logic Gates
por: Pershin, Y. V.
Publicado: (2023)

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

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

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

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

Brain-like features of MemComputing machines
por: Di Ventra, Massimiliano
Publicado: (2023)

An introduction to reservoir computing
por: Vrugt, Michael te
Publicado: (2024)

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

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

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

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

A Fast Algorithm to Simulate Nonlinear Resistive Networks
por: Scellier, Benjamin
Publicado: (2024)

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

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

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

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

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

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

Training single-electron and single-photon stochastic physical neural networks
por: Dou, Tong, et al.
Publicado: (2026)

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

Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
por: Abel, Steven, et al.
Publicado: (2026)

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

Dependence of Equilibrium Propagation Training Success on Network Architecture
por: Wang, Qingshan, et al.
Publicado: (2026)

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
por: Zhu, Ruomin, et al.
Publicado: (2026)

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

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

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

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

Multimodal oscillator networks learn to solve a classification problem
por: de Bos, Daan, et al.
Publicado: (2025)

On the behavior of a distributed network of capacitive constant phase elements
por: Allagui, Anis, et al.
Publicado: (2025)

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