From the 1 of 7 linked papers with an AI index.
7 papers
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)…
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…
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…
Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection
Hongdong Zhu, Qi Gao, Yin Ma +6
This paper introduces the Kaiwu-PyTorch-Plugin (KPP) to bridge Deep Learning and Photonic Quantum Computing across multiple dimensions. KPP integrates the Coherent Ising Machine in…
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…
QAMA: Scalable Quantum Annealing Multi-Head Attention Operator for Deep Learning
Peng Du, Jinjing Shi, Wenxuan Wang +3
Attention mechanisms underpin modern deep learning, while the quadratic time and space complexity limit scalability for long sequences. To address this, Quantum Annealing Multi-Hea…