Probabilistic Algorithms for Ising Machines from Optimization to Generative AI
cs.LG, cond-mat.dis-nn, cond-mat.stat-mech, cs.ET
Submitted: 2026-10-02
Updated: 2026-10-02
Terminology
Sources
- Restoring Sparsity in Potts Machines via Mean-Field Constraints
- Improving deep neural network performance through sampling
- Photonic Ising machines toward and beyond a million spins
- An Ultra-Low Power and Fast Ising Machine using Voltage-Controlled Magnetoresistive Random Access Memory
- How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
- Probabilistic Computers for MIMO Detection: From Sparsification to 2D Parallel Tempering
- A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
- Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
- Transferring linearly fixed QAOA angles: performance and real device results
- Variational Iterative Rotation Algorithm: Combinatorial Optimization with Classical Kicked Tops
- Probabilistic approximate optimization using single-photon avalanche diode arrays
- Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
- A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
- Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
- A Generative Neural Annealer for Black-Box Combinatorial Optimization
- Accelerated Parallel Tempering via Neural Transports
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks