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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
Last synced: 5 days ago
JSON representation
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QRAM-based quantum ML
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Classification and regression
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- 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 speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
- Quantum speed-up in global optimization of binary neural nets
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Unsupervised learning
- 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
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Reinforcement learning
- 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
- Quantum-accessible reinforcement learning beyond strictly epochal environments
- Experimental quantum speed-up in reinforcement learning agents
- Advances in Quantum Reinforcement Learning
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Optimization
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Dequantization of QRAM-based QML
- 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
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Variational circuits
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Theory
- 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
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Data-encoding
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Classification and regression
- 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
- An Artificial Neuron Implemented on an Actual Quantum Processor
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Generative models
- 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
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Reinforcement learning
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Kernel methods and SVM
- 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
- Sublinear quantum algorithms for training linear and kernel-based classifiers
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Auto-encoders
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Bayesian approaches
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Barren plateau
- 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
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Dequantization of QRAM-based QML
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Applications
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Software
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Dequantization of QRAM-based QML
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Kernel methods and SVM
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Dequantization of QRAM-based QML
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Programming Languages
Categories
Sub Categories
Keywords
awesome
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awesome-list
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quantum
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quantum-computing
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ai
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ant-colony-optimization
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artificial-intelligence
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artificial-neural-networks
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fcm
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hmm-model
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kmeans
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knn-classification
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machine-learning
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machine-learning-algorithms
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qml
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quantum-ai
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quantum-programming-language
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qubits
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tensorflow
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