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<!doctype html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>Learn Quantum Machine Learning · Monit Sharma</title><meta name="description" content="A notebook-based course connecting quantum models with modern machine learning."><link rel="preconnect" href="https://fonts.googleapis.com"><link rel="preconnect" href="https://fonts.gstatic.com" crossorigin><link href="https://fonts.googleapis.com/css2?family=Newsreader:opsz,wght@6..72,400;6..72,500&family=IBM+Plex+Mono:wght@400;500&family=IBM+Plex+Sans:wght@400;500;600&display=swap" rel="stylesheet"><link rel="stylesheet" href="project-site.css"></head><body><header class="topbar"><div class="wrap topbar-inner"><a class="brand" data-classroom-link href="https://monitsharma.github.io/"><span class="dot"></span><span>Monit Sharma</span></a><nav><a data-classroom-link href="https://monitsharma.github.io/">Quantum Classroom</a><a data-portfolio-link href="https://monitsharma.github.io/portfolio/">Portfolio</a></nav></div></header><main><section class="wrap project-hero"><div class="crumb"><a data-classroom-link href="https://monitsharma.github.io/">Quantum Classroom</a><span>/</span><span>Quantum machine learning</span></div><div class="label">Quantum machine learning</div><h1>Learn Quantum Machine Learning</h1><p class="lead">A notebook-based course connecting quantum models with modern machine learning.</p><div class="actions"><a class="button" href="https://github.com/MonitSharma/Learn-Quantum-Machine-Learning#readme">Open repository ↗</a><a class="text-link" href="#content">Explore the work ↓</a></div></section><section class="project-intro"><div class="wrap"><div class="intro-grid"><div><div class="eyebrow">Overview</div><h2>Understand the project, then explore the work.</h2></div><p>Resources open inside this site. Guides, papers, figures, notebooks, and source files are organized around the project’s story.</p></div><section class="project-readme" aria-label="Project notes"><div class="readme-label">About this project</div><div class="readme-copy"><p>This course will take you through the basic theory required to understand <a href="https://github.com/MonitSharma/Learn-Quantum-Machine-Learning/">quantum machine learning.</a></p><h3>Getting Started (Notes and Coding tutorials)</h3><p>Here you can discover the basic tools needed to use PennyLane through simple demonstrations. Learn about training a circuit to rotate a qubit, machine learning tools to optimize quantum circuits, and introductory examples of photonic quantum computing.</p><h3>Optimization</h3><p>Here you will find demonstrations showcasing quantum optimization. Explore various topics and ideas, such as the shots-frugal Rosalin optimizer, the variational quantum thermalizer, or barren plateaus in quantum neural networks.</p></div></section></div></section><section class="wrap project-content" id="content"><div class="eyebrow">Collections</div><nav class="collection-nav" aria-label="Project collections"><a href="#module-root-guide"><span>01</span><strong>Course lessons</strong><small>18 items</small></a></nav><section class="module-section" id="module-root-guide"><div class="module-heading"><span class="module-index">01</span><div><span class="module-kicker">Module</span><h3>Course lessons</h3><p>18 curated items</p></div></div><div class="resource-grid"><a class="resource-link resource-card" href="Adjoint_Differentiation.ipynb" data-view-kind="ipynb" data-path="Adjoint_Differentiation.ipynb" data-file-name="Adjoint_Differentiation.ipynb" data-view-title="Adjoint Differentiation"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Adjoint Differentiation</span></a><a class="resource-link resource-card" href="Classical_and_Quantum_Probabilities.ipynb" data-view-kind="ipynb" data-path="Classical_and_Quantum_Probabilities.ipynb" data-file-name="Classical_and_Quantum_Probabilities.ipynb" data-view-title="Classical And Quantum Probabilities"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Classical And Quantum Probabilities</span></a><a class="resource-link resource-card" href="Data_reuploading_Classifier.ipynb" data-view-kind="ipynb" data-path="Data_reuploading_Classifier.ipynb" data-file-name="Data_reuploading_Classifier.ipynb" data-view-title="Data Reuploading Classifier"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Data Reuploading Classifier</span></a><a class="resource-link resource-card" href="Evolution_in_Closed_and_Open_Systems.ipynb" data-view-kind="ipynb" data-path="Evolution_in_Closed_and_Open_Systems.ipynb" data-file-name="Evolution_in_Closed_and_Open_Systems.ipynb" data-view-title="Evolution In Closed And Open Systems"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Evolution In Closed And Open Systems</span></a><a class="resource-link resource-card" href="Galaxy_Detection_using_QNN.ipynb" data-view-kind="ipynb" data-path="Galaxy_Detection_using_QNN.ipynb" data-file-name="Galaxy_Detection_using_QNN.ipynb" data-view-title="Galaxy Detection Using QNN"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Galaxy Detection Using QNN</span></a><a class="resource-link resource-card" href="Gaussian_Transformation.ipynb" data-view-kind="ipynb" data-path="Gaussian_Transformation.ipynb" data-file-name="Gaussian_Transformation.ipynb" data-view-title="Gaussian Transformation"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Gaussian Transformation</span></a></div><details class="module-more"><summary>Supporting material in Course lessons<span>12 items</span></summary><div class="resource-grid"><a class="resource-link resource-card" href="Hybrid_Computation.ipynb" data-view-kind="ipynb" data-path="Hybrid_Computation.ipynb" data-file-name="Hybrid_Computation.ipynb" data-view-title="Hybrid Computation"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Hybrid Computation</span></a><a class="resource-link resource-card" href="Intro_to_QAOA.ipynb" data-view-kind="ipynb" data-path="Intro_to_QAOA.ipynb" data-file-name="Intro_to_QAOA.ipynb" data-view-title="Intro To QAOA"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Intro To QAOA</span></a><a class="resource-link resource-card" href="Introduction_to_Qiskit.ipynb" data-view-kind="ipynb" data-path="Introduction_to_Qiskit.ipynb" data-file-name="Introduction_to_Qiskit.ipynb" data-view-title="Introduction To Qiskit"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Introduction To Qiskit</span></a><a class="resource-link resource-card" href="Mathematical_Introduction.ipynb" data-view-kind="ipynb" data-path="Mathematical_Introduction.ipynb" data-file-name="Mathematical_Introduction.ipynb" data-view-title="Mathematical Introduction"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Mathematical Introduction</span></a><a class="resource-link resource-card" href="Measurement_and_Mixed_States.ipynb" data-view-kind="ipynb" data-path="Measurement_and_Mixed_States.ipynb" data-file-name="Measurement_and_Mixed_States.ipynb" data-view-title="Measurement And Mixed States"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Measurement And Mixed States</span></a><a class="resource-link resource-card" href="Noisy_Cricuits.ipynb" data-view-kind="ipynb" data-path="Noisy_Cricuits.ipynb" data-file-name="Noisy_Cricuits.ipynb" data-view-title="Noisy Cricuits"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Noisy Cricuits</span></a><a class="resource-link resource-card" href="Quantum_gradients_with_backpropagation.ipynb" data-view-kind="ipynb" data-path="Quantum_gradients_with_backpropagation.ipynb" data-file-name="Quantum_gradients_with_backpropagation.ipynb" data-view-title="Quantum Gradients With Backpropagation"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Quantum Gradients With Backpropagation</span></a><a class="resource-link resource-card" href="Quantum_Models_as_Fourier_Series.ipynb" data-view-kind="ipynb" data-path="Quantum_Models_as_Fourier_Series.ipynb" data-file-name="Quantum_Models_as_Fourier_Series.ipynb" data-view-title="Quantum Models As Fourier Series"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Quantum Models As Fourier Series</span></a><a class="resource-link resource-card" href="Qubit_Rotation.ipynb" data-view-kind="ipynb" data-path="Qubit_Rotation.ipynb" data-file-name="Qubit_Rotation.ipynb" data-view-title="Qubit Rotation"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Qubit Rotation</span></a><a class="resource-link resource-card" href="Running_Pennylane_in_AWS_Bracket.ipynb" data-view-kind="ipynb" data-path="Running_Pennylane_in_AWS_Bracket.ipynb" data-file-name="Running_Pennylane_in_AWS_Bracket.ipynb" data-view-title="Running Pennylane In AWS Bracket"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Running Pennylane In AWS Bracket</span></a><a class="resource-link resource-card" href="Variational_Classifier_Iris.ipynb" data-view-kind="ipynb" data-path="Variational_Classifier_Iris.ipynb" data-file-name="Variational_Classifier_Iris.ipynb" data-view-title="Variational Classifier Iris"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">Variational Classifier Iris</span></a><a class="resource-link resource-card" href="What_is_Quantum_Machine_Learning.ipynb" data-view-kind="ipynb" data-path="What_is_Quantum_Machine_Learning.ipynb" data-file-name="What_is_Quantum_Machine_Learning.ipynb" data-view-title="What Is Quantum Machine Learning"><span class="resource-link-top"><span class="resource-kind">Notebook</span><span class="resource-number"></span></span><span class="resource-title">What Is Quantum Machine Learning</span></a></div></details></section></section></main><footer><div class="wrap"><span>Monit Sharma · open work in progress</span><a href="https://github.com/MonitSharma/Learn-Quantum-Machine-Learning">GitHub 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