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From the 1 of 7 linked papers with an AI index.

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7 papers

quant-ph2026

A generalized variational quantum linear solver on photonic platform

Kang Gao, Zhao-An Wang, Ze-Guo Wang +3

The paper experimentally demonstrates a variational quantum algorithm for solving linear equations on a photonic quantum processor, handling both complex-valued and binary (mod 2)…

quant-ph2026

EPIC-CIM: Training Convolutional Neural Networks on a Coherent Ising Machine via Equilibrium Propagation

Xingrui Yin, Shenwei Kang, Haoqi He +7

Quantum convolutional neural networks, due to the involvement of quantum measurements and discrete quantum state evolution, face inherent training challenges associated with non-di…

cs.LG2026

Exact and Asymptotically Complete Robust Verifications of Neural Networks via Ising Solvers

Wenxin Li, Wenchao Liu, Weihao Li +5

We present an Ising-compatible framework for formal neural-network robustness verification under bounded input perturbations. For piecewise-linear activations, the Exact Logarithmi…

quant-ph2025

A versatile coherent Ising computing platform

Hai Wei, Chengjun Ai, Putuo Guo +12

Coherent Ising Machines (CIMs) have emerged as a hybrid form of quantum computing devices designed to solve NP-complete problems, offering an exciting opportunity for discovering o…

cs.LG2025

Quantum-Classical Hybrid Quantized Neural Network

Wenxin Li, Chuan Wang, Hongdong Zhu +4

In this work, we introduce a novel Quadratic Binary Optimization (QBO) framework for training a quantized neural network. The framework enables the use of arbitrary activation and…

cs.LG2025

Quantum-Boosted High-Fidelity Deep Learning

Feng-ao Wang, Shaobo Chen, Yao Xuan +12

A fundamental limitation of probabilistic deep learning is its predominant reliance on Gaussian priors. This simplistic assumption prevents models from accurately capturing the com…