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awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
https://github.com/artix41/awesome-quantum-ml
- Quantum Statistical Inference
- The Expressive Power of Parameterized Quantum Circuits
- Quantum hardness of learning shallow classical circuits
- The power of quantum neural networks
- Power of data in quantum machine learning
- Information-theoretic bounds on quantum advantage in machine learning
- Structural risk minimization for quantum linear classifiers
- Generalization in quantum machine learning from few training data
- Robust data encodings for quantum classifiers
- Quantum embeddings for machine learning
- Quantum algorithms for approximate function loading
- Quantum Perceptron Model
- Quantum Neuron: an elementary building block for machine learning on quantum computers
- A quantum algorithm to train neural networks using low-depth circuits
- Classification with Quantum Neural Networks on Near Term Processors
- Towards Quantum Machine Learning with Tensor Networks
- Hierarchical quantum classifiers
- Circuit-centric quantum classifiers
- Universal discriminative quantum neural networks
- A Universal Training Algorithm for Quantum Deep Learning
- Quantum Convolutional Neural Networks
- An Artificial Neuron Implemented on an Actual Quantum Processor
- Efficient Learning for Deep Quantum Neural Networks
- Parameterized quantum circuits as machine learning models
- Machine Learning Phase Transitions with a Quantum Processor
- Hybrid Quantum-Classical Convolutional Neural Networks
- Building quantum neural networks based on a swap test
- Data re-uploading for a universal quantum classifier
- Quantum Earth Mover's Distance: A New Approach to Learning Quantum Data
- Certificates of quantum many-body properties assisted by machine learning
- Quantum optimization for training quantum neural networks
- Provable Advantage in Quantum Phase Learning via Quantum Kernel Alphatron
- Quantum Boltzmann Machine
- A Quantum Hopfield Neural Network
- A generative modeling approach for benchmarking and training shallow quantum circuits
- Universal quantum perceptron as efficient unitary approximators
- Quantum generative adversarial learning in a superconducting quantum circuit
- Quantum generative adversarial learning
- Quantum generative adversarial networks
- Differentiable Learning of Quantum Circuit Born Machine
- The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine
- Entangling Quantum Generative Adversarial Networks
- Advances in Quantum Reinforcement Learning
- Quantum Enhancements for Deep Reinforcement Learning in Large Spaces
- Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
- Variational quantum policies for reinforcement learning
- Supervised learning with quantum enhanced feature spaces
- Quantum Sparse Support Vector Machines
- Sublinear quantum algorithms for training linear and kernel-based classifiers
- Supervised quantum machine learning models are kernel methods
- Quantum autoencoders via quantum adders with genetic algorithms
- Quantum Variational Autoencoder
- Bayesian Deep Learning on a Quantum Computer
- Variational inference with a quantum computer
- Barren plateaus in quantum neural network training landscapes
- An initialization strategy for addressing barren plateaus in parametrized quantum circuits
- Cost function dependent barren plateaus in shallow parametrized quantum circuits
- Trainability of Dissipative Perceptron-Based Quantum Neural Networks
- Noise-Induced Barren Plateaus in Variational Quantum Algorithms
- Impact of barren plateaus on the hessian and higher order derivatives
- Entanglement Induced Barren Plateaus
- Absence of Barren Plateaus in Quantum Convolutional Neural Networks
- Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus
- Effect of barren plateaus on gradient-free optimization
- Connecting ansatz expressibility to gradient magnitudes and barren plateaus
- Equivalence of quantum barren plateaus to cost concentration and narrow gorges
- Continuous-variable quantum neural networks
- Machine learning method for state preparation and gate synthesis on photonic quantum computers
- Near-deterministic production of universal quantum photonic gates enhanced by machine learning
- A Continuous Variable Born Machine
- Quantum algorithms for feedforward neural networks
- Quantum classification of the MNIST dataset with Slow Feature Analysis
- Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
- Quantum Algorithms for Deep Convolutional Neural Networks
- Quantum speed-up in global optimization of binary neural nets
- Classical and Quantum Algorithms for Orthogonal Neural Networks
- Quantum principal component analysis
- Quantum algorithms for topological and geometric analysis of big data
- Quantum Recommendation Systems
- Smooth input preparation for quantum and quantum-inspired machine learning
- q-means: A quantum algorithm for unsupervised machine learning
- Quantum expectation-maximization for Gaussian mixture models
- Towards quantum advantage via topological data analysis
- Quantum Spectral Clustering
- Quantum Algorithms for Data Representation and Analysis
- Resonant Quantum Principal Component Analysis
- Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
- Quantum reinforcement learning
- Generalized Quantum Reinforcement Learning with Quantum Technologies
- Speeding-up the decision making of a learning agent using an ion trap quantum processor
- Exponential improvements for quantum-accessible reinforcement learning
- Advances in Quantum Reinforcement Learning
- Quantum-accessible reinforcement learning beyond strictly epochal environments
- Experimental quantum speed-up in reinforcement learning agents
- Quantum gradient descent and Newton’s method for constrained polynomial optimization
- Quantum gradient descent for linear systems and least squares
- Quantum algorithms and lower bounds for convex optimization
- A quantum-inspired classical algorithm for recommendation systems
- Quantum-inspired classical algorithms for principal component analysis and supervised clustering
- Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension
- Quantum-inspired algorithms in practice
- Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
- Graph Cut Segmentation Methods Revisited with a Quantum Algorithm
- Quantum Medical Imaging Algorithms
- Quantum Machine Learning in High Energy Physics
- Medical image classification via quantum neural networks
- TensorFlow Quantum: A Software Framework for Quantum Machine Learning
- Quantum machine learning in feature Hilbert spaces
- Awesome Quantum Machine Learning
- Awesome Quantum Computing
- A Guide to QC and QI
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quantum
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awesome-list
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machine-learning
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