Quantum Computing

Mixture of neural fields for heterogeneous reconstruction in cryo-EM NeurIPS 2024 Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss ICLR 2024 Operator learning without the adjoint JMLR 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms NeurIPS 2024 Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing CVPR 2024 Provable Advantage in Quantum PAC Learning COLT 2024 Quadratic Quantum Variational Monte Carlo NeurIPS 2024 Quantum algorithm for large-scale market equilibrium computation NeurIPS 2024 Quantum Algorithm for Online Exp-concave Optimization ICML 2024 Quantum Algorithms and Lower Bounds for Finite-Sum Optimization ICML 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Quantum-Inspired Neural Network with Runge-Kutta Method AAAI 2024 Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation AAAI 2024 Quantum Kernelized Bandits UAI 2024 Quantum Recurrent Architectures for Text Classification EMNLP 2024 QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation NeurIPS 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NeurIPS 2024 Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ICLR 2024 SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification ICML 2024 Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm NeurIPS 2024 The role of randomness in quantum state certification with unentangled measurements COLT 2024 Topological data analysis on noisy quantum computers ICLR 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024