Here Quantum Resources like: Courses, Books, Papers, Videos 2024
2025 All Quantum tech
The Emerging Role of Quantum Computing in Machine Learning (Recomendado)
Introductory material for QML:
An introduction to Quantum Machine Learning - Webinar by Aroosa Ijaz
An introduction to QML by Maria Schuld
Quantum machine learning for supervised pattern recognition by Maria Schuld:
QML and Pennylane by Maria Schuld
How to translate from Qubiter to Pennylane
QML by Jacob Biamonte and Petter Wittek
“QML Algorithms: Read the Fine Print” by Scott Aaronson
Data re-uploading for a universal quantum classifier
Talk: What Can We Expect from QML? Dr. Peter Wittek
Highlighting Quantum Computing for Machine Learning
Quantum embeddings for machine learning
On quantum ensembles of quantum classifiers
Parameterized quantum circuits as machine learning models
Quantum Assisted Feed-Forward Neural Network For MNIST Image Classification
End-to-End QML Implemented with Controlled Quantum Dynamics
Bayesian deep learning on quantum computers
Repo with code of the previous paper:
Latest improved HHL algorithm for previous paper
Reddit question: Best major and focus for QML
A Classical Algorithm Framework for Dequantizing QML
New Directions for Tensor Networks: Machine Learning and Quantum Computing I
QML - What Quantum Computing Means to Data Mining ( Book) by Peter Wittek
Implementing QSVM on IBM’s Quantum computers
QML: Training a model on IBM quantum computers with the iris flower dataset
Training quantum neural networks with Pennylane, PyTorch, and TensorFlow
How to calculate Quantum Gradients and use them for classification:
On Sampling and Inference using Quantum Algorithms
Recurrent Quantum Neural Networks
Layerwise learning for quantum neural networks
Boltzmann machine learning with a variational quantum algorithm
Single-photon QML improves on the classical result
The effect of data encoding on the expressive power of variational QML models
“Quantum Classification” by Brian N. Siegelwax
“Superdense Encoding of Classical Data” by Brian N. Siegelwax
“Quantum Clustering & Classification” by Brian N. Siegelwax
NITheP QML mini-school by Amira Abbas - First session
SMBQ Day 2: Amira Abbas and Maria Schuld QML talks
Efficient calculation of gradients in classical simulations of variational quantum algorithms
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