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Quantum Computing

128 directly classified papers

Papers per year

Papers

Entangled Kernels - Beyond Separability JMLR 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities NIPS 2021
Reinforcement learning for optimization of variational quantum circuit architectures NIPS 2021
A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract) AAAI 2021
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ICML 2021
Natural Language Processing Meets Quantum Physics: A Survey and Categorization EMNLP 2021
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions NIPS 2020
Revisiting Online Quantum State Learning AAAI 2020
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms AAAI 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics ICML 2020
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
q-means: A quantum algorithm for unsupervised machine learning NIPS 2019
Binary Classifier Inspired by Quantum Theory AAAI 2019
Quantum Embedding of Knowledge for Reasoning NIPS 2019
Entangled Kernels IJCAI 2019
Quantum Wasserstein Generative Adversarial Networks NIPS 2019
Learning and Inference in Hilbert Space with Quantum Graphical Models NIPS 2018
Optimal Quantum Sample Complexity of Learning Algorithms JMLR 2018
Online Learning of Quantum States NIPS 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 NIPS 2018
Towards Quantum Language Models EMNLP 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NIPS 2017
Message Passing Inference with Chemical Reaction Networks NIPS 2013