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quantum optimization

9 papers

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quantum computing (4) adiabatic quantum computing (3) variational quantum algorithm (2) discrete optimization (2) ising model (2) combinatorial optimization (2) classifier training (1) weak classifier (1) graph neural network (1) geometric model fitting (1)

Papers

On the Relation between Trainability and Dequantization of Variational Quantum Learning Models ICLR 2025 Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms AAAI 2025 Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025 Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing CVPR 2024 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NeurIPS 2023 Quantum Multi-Model Fitting CVPR 2023 Adiabatic Quantum Computing for Multi Object Tracking CVPR 2022 Differentiable Analog Quantum Computing for Optimization and Control NeurIPS 2022 QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012