Explainers & Introductions
8 entriesReadable overviews of what QML is and where it may help.
01Quantum Machine Learning Concepts (TensorFlow Quantum)Google's write-up on the fundamentals of quantum machine learning.
02What Is Quantum Machine Learning? (PennyLane)PennyLane's learning hub for quantum programming and quantum machine learning.
03What Is Quantum Machine Learning? (The Quantum Insider)Overview of quantum machine learning from The Quantum Insider.
04How Can Quantum Computing Be Useful for Machine Learning? (KDnuggets)Primer on where quantum computing could help machine learning.
05Quantum Computing and Machine Learning (Quanta Magazine)George Musser on the booming fusion of quantum computing and machine learning.
06Knocking on Turing's Door (The Gradient)Essay on quantum computing and machine learning.
07Beginner's Guide to Quantum Machine Learning (Paperspace)Beginner-level guide with code examples.
08IBM Research BlogIBM Research posts on quantum computing, including quantum neural networks and chemistry.
Courses & Tutorials
6 entriesHands-on ways to learn QML with real frameworks.
09IBM Quantum Learning – Quantum Machine LearningIBM's course on quantum machine learning with Qiskit.
10Hybrid Quantum-Classical Neural Networks with PyTorch and QiskitTutorial connecting PyTorch with Qiskit quantum neural networks.
11Qiskit Machine Learning DocumentationDocs and tutorials for quantum kernels, classifiers and neural networks.
12PennyLane DemonstrationsHands-on demos for quantum machine learning algorithms.
13IBM Quantum LearningFree courses on quantum computing and quantum information.
14Quantum CountryEssays that teach the quantum foundations.
Frameworks & Libraries
8 entriesOpen-source software for building QML models.
15TensorFlow QuantumGoogle's library for hybrid quantum-classical machine learning models.
16TensorFlow Quantum on GitHubSource code and examples for TensorFlow Quantum.
17PennyLaneCross-platform library for quantum machine learning and differentiable programming.
18PennyLane on GitHubSource code for PennyLane.
19Qiskit Machine Learning (GitHub)Qiskit module for quantum neural networks and kernels.
20NVIDIA CUDA-QPlatform for hybrid quantum-classical programs on GPUs.
21Awesome Quantum Machine LearningCurated list of QML resources and links.
22XanaduPhotonic quantum computing company and creator of PennyLane.
Research Papers
16 entriesFoundational and survey papers on quantum machine learning.
23Quantum Machine Learning (Biamonte et al., Nature)Widely cited review of quantum machine learning.
24Quantum Machine Learning (arXiv)Preprint of the Nature review by Biamonte et al.
25Entanglement-Based Machine Learning on a Quantum Computer (arXiv)Early experimental work on entanglement-based machine learning.
26Quantum Circuit Learning (arXiv)Framework for training parameterised quantum circuits.
27Classification with Quantum Neural Networks on Near-Term Processors (arXiv)Farhi and Neven on quantum classifiers for near-term devices.
28Circuit-Centric Quantum Classifiers (arXiv)Quantum classifier design based on circuit structure.
29An Artificial Neuron Implemented on an Actual Quantum Processor (arXiv)Tacchino et al. implement a perceptron on IBM hardware.
30PennyLane: Automatic Differentiation of Hybrid Quantum-Classical Computations (arXiv)The PennyLane paper on differentiable quantum programming.
31Supervised Quantum Machine Learning Models Are Kernel Methods (arXiv)Schuld on the kernel-method view of quantum models.
32Power of Data in Quantum Machine Learning (arXiv)Huang et al. on when data helps classical models match quantum ones.
33Training Deep Quantum Neural Networks (Nature Communications)Beer et al. on training deep quantum neural networks.
34Machine Learning Algorithms in Quantum Computing: A Survey (IEEE)Survey of machine learning algorithms in quantum computing.
35Quantum Machine Learning: Benefits and Practical Examples (CEUR)Frank Phillipson on practical QML examples.
36Machine Learning for Quantum Matter (Advances in Physics: X)Carrasquilla on machine learning applied to quantum matter.
37Generalization of Quantum Machine Learning Models (arXiv)Analysis of generalisation in QML models.
38Focus on Quantum Machine Learning (IOP)Journal focus collection on QML research.
News, Journals & Community
8 entriesWhere to follow QML progress.
39The Quantum InsiderQuantum computing news and market intelligence.
40Quantum (open journal)Open-access journal for quantum science.
41npj Quantum InformationNature journal on quantum information research.
42Nature Machine IntelligenceNature journal covering machine learning research.
43Top Quantum ML ProjectsTen hands-on QML projects on this site.
44Quantum AIQuantum AI resources on this site.
45National Quantum Mission (India)India's mission on quantum computing, communication and sensing.
46Indian Institute of ScienceIndian research institute with quantum technology groups.
Related Pages
3 entriesRelated directories on this site.
Frequently Asked Questions
What is quantum machine learning?
QML uses quantum circuits to process data inside machine learning models, for example as parameterised circuits trained with classical optimisers, or as quantum kernels for classification.
Does QML beat classical machine learning today?
Not on practical problems yet. Today's noisy devices are small, and research such as "Power of Data" shows classical models can match quantum ones in many cases, so QML is best seen as active research.
Which frameworks should I start with?
PennyLane and Qiskit Machine Learning are the most popular for tutorials, TensorFlow Quantum targets Keras workflows, and CUDA-Q suits GPU-accelerated hybrid simulation.
What are variational quantum circuits?
Parameterised quantum circuits whose parameters are tuned by a classical optimiser to minimise a loss function, forming the core of many near-term QML models.
Where can I find practical projects?
See the Top Quantum ML Projects page on this site for ten hands-on projects with datasets and algorithms.