Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
https://github.com/artix41/awesome-quantum-ml
Last synced: about 18 hours ago
JSON representation
-
QRAM-based quantum ML
-
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
-
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
-
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
-
Optimization
-
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
-
-
Variational circuits
-
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
-
Data-encoding
-
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
-
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
-
Reinforcement learning
-
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
-
Auto-encoders
-
Bayesian approaches
-
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
-
Dequantization of QRAM-based QML
-
-
Applications
-
Software
-
Dequantization of QRAM-based QML
-
-
Kernel methods and SVM
-
Dequantization of QRAM-based QML
-
Programming Languages
Categories
Sub Categories
Keywords
awesome
2
awesome-list
2
quantum
2
quantum-computing
2
ai
1
ant-colony-optimization
1
artificial-intelligence
1
artificial-neural-networks
1
fcm
1
hmm-model
1
kmeans
1
knn-classification
1
machine-learning
1
machine-learning-algorithms
1
qml
1
quantum-ai
1
quantum-programming-language
1
qubits
1
tensorflow
1