Quantum Computing

Quantum Best Arm Identification with Quantum Oracles AAAI 2025 Quantum Speedups for Bayesian Network Structure Learning UAI 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025 Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025 A Diffusion-Based Pre-training Framework for Crystal Property Prediction AAAI 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations AAAI 2024 A Quantum Theory of Terms and New Challenges to Meaning Representation of Quanterms COLING 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NeurIPS 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024 Curriculum reinforcement learning for quantum architecture search under hardware errors ICLR 2024 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems AAAI 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NeurIPS 2024 Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024 Generating Universal Adversarial Perturbations for Quantum Classifiers AAAI 2024 Generative Modeling of Molecular Dynamics Trajectories NeurIPS 2024 HDQMF: Holographic Feature Decomposition Using Quantum Algorithms CVPR 2024 Information-theoretic generalization bounds for learning from quantum data COLT 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NeurIPS 2024