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‎doc/pub/week11/ipynb/ipynb-week11-src.tar.gz‎

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‎doc/pub/week11/ipynb/week11.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"id": "8b815723",
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"metadata": {
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"editable": true
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},
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{
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"cell_type": "markdown",
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"id": "9f0c86ee",
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"metadata": {
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"editable": true
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},
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{
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"cell_type": "markdown",
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"id": "6d45c5b8",
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"a. PDF slides at <https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf>\n",
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"\n",
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"b. Jupyter-notebooks at <https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week11/ipynb>\n",
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"\n",
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"* Project two suggestions, see <https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/Projects/2026/Project2>. Note that these suggestions will be revised till April 7\n",
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"<!-- * [Video of lecture TBA](https://youtu.be/) -->\n",
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"<!-- * [Whiteboard notes](https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2025/NotesApril2.pdf) -->"
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]
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},
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{
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"cell_type": "markdown",
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"editable": true
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},
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{
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"cell_type": "markdown",
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"id": "e54d0df5",
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},
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{
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"cell_type": "markdown",
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"id": "80089d03",
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},
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{
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"cell_type": "markdown",
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"id": "9bd93c93",
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"metadata": {
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"editable": true
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},
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"source": [
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"## Codes and plans for the coming two weeks (April 13-24)\n",
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"\n",
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"This week, with respect to codes, we focus on the **implementation of the QPE algorithm and the QFT algorithm**. For the HHL algorithm our main focus, as discussed in the slides at <https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf>, will be on the theoretical aspects of the algorithm. \n",
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"This week (April 8), with respect to codes, we focus on the **implementation of the QPE algorithm and the QFT algorithm**. For the HHL algorithm our main focus, as discussed in the slides at <https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf>, will be on the theoretical aspects of the algorithm. \n",
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"\n",
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"Next week we will discuss codes for the HHL algorithm applied to\n",
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"linear algebra problems and the solution of differential equations like\n",
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"\n",
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"Suggestions for project 2 will be presented April 8."
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]
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},
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{
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"cell_type": "markdown",
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"id": "02df95f7",
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"metadata": {
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"editable": true
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},
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"source": [
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"## Plans for the rest of the semester, April"
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]
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},
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{
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"cell_type": "markdown",
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"id": "15498f0d",
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"metadata": {
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"editable": true
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},
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"source": [
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"### April 6-10, 2026\n",
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"\n",
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"* Finalizing the QPE discussions, with codes and formalism\n",
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"\n",
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"* The HHL algorithm for solving linear algebra problems"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c9b0c831",
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"metadata": {
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"editable": true
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},
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"source": [
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"### April 13-17, 2026\n",
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"\n",
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"* Summing up the HHL discussions, codes and algorithms\n",
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"\n",
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"* The QAOA algorithm"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5e994bf9",
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"metadata": {
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"editable": true
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},
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"source": [
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"### April 20-24, 2026 Quantum Machine Learning\n",
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"\n",
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"* Linking the HHL and the QAOA algorithm with quantum machine learning (QML) \n",
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"\n",
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"* Basics of QML \n",
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"\n",
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"* Quantum Support vector machines (QSVM) and classical SVMs"
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]
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},
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{
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"cell_type": "markdown",
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"id": "97848a6e",
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"metadata": {
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"editable": true
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},
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"source": [
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"### April 27-May 1, 2026 Quantum machine learning\n",
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"\n",
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"* QSVM, algorithms and codes\n",
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"\n",
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"* Quantum neural networks (QNN)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0631ba5f",
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"metadata": {
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"editable": true
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},
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"source": [
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"## Plans for the rest of the semester, May"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6cfd70f1",
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"metadata": {
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"editable": true
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},
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"source": [
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"### May 4-8, 2026 Quantum Machine Learning\n",
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"\n",
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"* Quantum neural networks, codes and implementations"
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]
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},
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{
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"cell_type": "markdown",
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"id": "57b503c9",
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"metadata": {
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"editable": true
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},
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"source": [
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"### May 11-15, 2026\n",
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"\n",
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"* Quantum neural networks and quantum Boltzmann machines"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2d7a105b",
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"metadata": {
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"editable": true
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},
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"source": [
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"### May 18-22, 2026\n",
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"\n",
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"* Summary of course and discussion of and work on project 2"
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]
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}
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],
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"metadata": {},

‎doc/src/week11/week11.do.txt‎

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* Material this week:
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o PDF slides at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf"
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o Jupyter-notebooks at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/pub/week11/ipynb"
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* Project two suggestions, see URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/tree/gh-pages/doc/Projects/2026/Project2". Note that these suggestions will be revised till April 7
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#* "Video of lecture TBA":"https://youtu.be/"
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#* "Whiteboard notes":"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/HandWrittenNotes/2025/NotesApril2.pdf"
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!eblock
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!split
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===== Codes and plans for the coming two weeks (April 13-24) =====
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This week, with respect to codes, we focus on the _implementation of the QPE algorithm and the QFT algorithm_. For the HHL algorithm our main focus, as discussed in the slides at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf", will be on the theoretical aspects of the algorithm.
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This week (April 8), with respect to codes, we focus on the _implementation of the QPE algorithm and the QFT algorithm_. For the HHL algorithm our main focus, as discussed in the slides at URL:"https://github.com/CompPhysics/QuantumComputingMachineLearning/blob/gh-pages/doc/pub/week11/pdf/week11slides.pdf", will be on the theoretical aspects of the algorithm.
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Next week we will discuss codes for the HHL algorithm applied to
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Suggestions for project 2 will be presented April 8.
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!split
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===== Plans for the rest of the semester, April =====
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=== April 6-10, 2026 ===
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* Finalizing the QPE discussions, with codes and formalism
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* The HHL algorithm for solving linear algebra problems
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=== April 13-17, 2026 ===
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* Summing up the HHL discussions, codes and algorithms
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* The QAOA algorithm
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=== April 20-24, 2026 Quantum Machine Learning ===
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* Linking the HHL and the QAOA algorithm with quantum machine learning (QML)
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* Basics of QML
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* Quantum Support vector machines (QSVM) and classical SVMs
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=== April 27-May 1, 2026 Quantum machine learning ===
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* QSVM, algorithms and codes
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* Quantum neural networks (QNN)
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!split
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===== Plans for the rest of the semester, May =====
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=== May 4-8, 2026 Quantum Machine Learning ===
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* Quantum neural networks, codes and implementations
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=== May 11-15, 2026 ===
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* Quantum neural networks and quantum Boltzmann machines
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=== May 18-22, 2026 ===
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* Summary of course and discussion of and work on project 2

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