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https://github.com/avivace/quantum-computing-intro

Afternotes on the "Practical introduction to Quantum Computing: from qubits to quantum machine learning and beyond" CERN course
https://github.com/avivace/quantum-computing-intro

afternotes cern course notebook-jupyter quantum-computing

Last synced: 25 days ago
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Afternotes on the "Practical introduction to Quantum Computing: from qubits to quantum machine learning and beyond" CERN course

Host: GitHub
URL: https://github.com/avivace/quantum-computing-intro
Owner: avivace
License: gpl-3.0
Created: 2020-11-11T17:57:45.000Z (about 4 years ago)
Default Branch: master
Last Pushed: 2021-09-17T07:42:11.000Z (over 3 years ago)
Last Synced: 2024-10-28T10:56:20.695Z (2 months ago)
Topics: afternotes, cern, course, notebook-jupyter, quantum-computing
Homepage: https://indico.cern.ch/event/970903/
Size: 18.6 KB
Stars: 5
Watchers: 4
Forks: 4
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE.txt

Awesome Lists containing this project

README

# practical intro to quantum computing

Afternotes and exercises on the *Practical introduction to quantum computing: from qubits to quantum machine learning and beyond* course given by Elías F. Combarro at CERN (Nov 2020).

Slides and course material can be found [here](https://indico.cern.ch/event/970903/).

- **[Lesson 1: Introduction](notes/1.md)** - November 6
+ Resources:
+ [VOD](https://indico.cern.ch/event/970903/attachments/2136822/3610772/go)
+ [Notebook](https://indico.cern.ch/event/970903/attachments/2136822/3599300/1.-Hello%2C%20quantum%20world%21%20in%20Qiskit.ipynb)
+ [Slides](https://indico.cern.ch/event/970903/attachments/2136822/3599305/PIQC%20Lecture%201.pdf)
+ [Recommended books](https://indico.cern.ch/event/970903/attachments/2136822/3609946/Recommended%20books%20and%20resources.pdf)
+ Contents:
+ What is quantum computing?
+ Applications of quantum computing.
+ Hardware and software for quantum computing.
+ Elements of the quantum circuit model.
+ Introduction to the IBM Quantum Experience.
- Lesson 2: One and two-qubit systems (Part 1) - November 13
+ Contents:
+ Quantum key distribution with the BB84 protocol.
+ Two-qubit gates.
+ The CHSH game.
- Lesson 3: One and two-qubit systems (Part 2) - November 20
+ Contents:
+ Quantum teleportation.
+ Superdense coding.
+ Deutsch algorithm.
- Lesson 4: Multiqubit systems - November 27
+ Contents:
+ Multiqubit gates and universality.
+ Quantum parallelism.
+ Deutsch-Jozsa algorithm.
+ Grover algorithm.
+ Shor algorithm.
+ HHL algorithm.
- Lesson 5: Quantum algorithms for combinatorial optimization - December 4
+ Contents:
+ Quantum adiabatic computing and quantum annealing.
+ Introduction to D-Wave Leap.
+ Quantum Approximate Optimization Algorithm.
- Lesson 6: Quantum variational algorithms and quantum machine learning - December 11
+ Contents:
+ Variational Quantum Eigensolver.
+ Introduction to Quantum Machine Learning (QSVM, QGAN, Quantum Classifiers...)
- Lesson 7: The future of quantum computing - December 18
+ Contents:
+ Quantum error correction.
+ What is Quantum Supremacy?
+ Prospects for quantum computing.

## Additional resources

- [CERN Openlab talk by F.Carminati: Quantum Computing for High Energy Physics Applications](https://cds.cern.ch/record/2681989)
- EP-IT Data science seminars
- [Quantum Machine Learning](https://indico.cern.ch/event/975609/)
- Academic Training Lectures
- [Introduction to Quantum Computing](https://indico.cern.ch/event/870515/) by Heather Gray (LBNL)