Quantum Computing

Exponentially Many Local Minima in Quantum Neural Networks ICML 2021 Fidelity-based Deep Adiabatic Scheduling ICLR 2021 Natural Language Processing Meets Quantum Physics: A Survey and Categorization EMNLP 2021 Q-Match: Iterative Shape Matching via Quantum Annealing ICCV 2021 Quantum Binary Classification (Student Abstract) AAAI 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 SE(3)-equivariant prediction of molecular wavefunctions and electronic densities NeurIPS 2021 The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ICML 2021 A Quantum Computational Approach to Correspondence Problems on Point Sets CVPR 2020 Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020 Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms AAAI 2020 Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NeurIPS 2020 Reinforcement Learning for Molecular Design Guided by Quantum Mechanics ICML 2020 Revisiting Online Quantum State Learning AAAI 2020 Binary Classifier Inspired by Quantum Theory AAAI 2019 Entangled Kernels IJCAI 2019 q-means: A quantum algorithm for unsupervised machine learning NeurIPS 2019 Quantum Embedding of Knowledge for Reasoning NeurIPS 2019 Quantum Wasserstein Generative Adversarial Networks NeurIPS 2019 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Online Learning of Quantum States NeurIPS 2018 Optimal Quantum Sample Complexity of Learning Algorithms JMLR 2018 Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018 The emergence of multiple retinal cell types through efficient coding of natural movies NeurIPS 2018 SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NeurIPS 2017