Quantum AI: Feb-April - 2020
Quantum AI: Aug 2019 to Jan 2020
- Temporal Information Processing on Noisy Quantum Computers
- Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions
- A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
- Reinforcement-learning-based architecture for automated quantum adiabatic algorithm design
- Quantum and Classical Algorithms for Approximate Submodular Function Minimization
- Machine learning enables completely automatic tuning of a quantum device faster than human experts
- Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics
- Quantum Machine Learning Algorithm for Knowledge Graphs
- Quantum Interference for Counting Clusters
- Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach
- Quantum Adversarial Machine Learning
- QDNN: DNN with Quantum Neural Network Layers
- Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory
- Quantum Logic Gate Synthesis as a Markov Decision Process
- Quantum Natural Gradient
- Demonstration of Topological Data Analysis on a Quantum Processor
- Variational Quantum Circuits for Quantum State Tomography
- Optimizing Quantum Error Correction Codes with Reinforcement Learning
- Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
- Online Learning of Quantum States
- A quantum active learning algorithm for sampling against adversarial attacks
- A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
- Expressiveness and Learning of Hidden Quantum Markov Models
- Quantum Computation with Machine-Learning-Controlled Quantum Stuff
- Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
- Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer
- A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics
- SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State
- Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
- Predicting Features of Quantum Systems from Very Few Measurements
- Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition
- Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning
- Solving machine learning optimization problems using quantum computers
- A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
- Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
- A neural network oracle for quantum nonlocality problems in networks
- word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement
- Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems
- Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
- Support vector machines on the D-Wave quantum annealer
- Information Scrambling in Quantum Neural Networks
- A Note on Quantum Markov Models
- Quantum Wasserstein Generative Adversarial Networks
- Quantum Optical Experiments Modeled by Long Short-Term Memory
- A framework for deep energy-based reinforcement learning with quantum speed-up
- Variational Quantum Algorithms for Dimensionality Reduction and Classification
- On the geometry of learning neural quantum states
- Deep Reinforcement Learning Control of Quantum Cartpoles
- A simple approach to design quantum neural networks and its applications to kernel-learning methods
- Modeling Sequences with Quantum States: A Look Under the Hood
- Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
- On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
- Parameterized quantum circuits as machine learning models
- Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words ⭐
- Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
- Programming multi-level quantum gates in disordered computing reservoirs via machine learning and TensorFlow
- Quantum Graph Neural Networks
- K-Means Clustering on Noisy Intermediate Scale Quantum Computers
- Support Vector Machines on Noisy Intermediate Scale Quantum Computers
- Quantum Inflation: A General Approach to Quantum Causal Compatibility
- An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
- Quantum Unsupervised and Supervised Learning on Superconducting Processors
- A Quantum Search Decoder for Natural Language Processing
- Quantum Machine Learning Tensor Network States
- Learning Algebraic Models of Quantum Entanglement
- Implications of Quantum Computing for Artificial Intelligence alignment research
- Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
- Variational Quantum Circuits for Deep Reinforcement Learning
- Quantum adiabatic machine learning with zooming
- Optimizing quantum heuristics with meta-learning
- Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions
- An Artificial Spiking Quantum Neuron
- Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
- A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
- Event-based Vision: A Survey