personal_interest_mirrors/Quantum-Computation-course-Basel
1
0
Fork 0
mirror of https://github.com/quantumjim/Quantum-Computation-course-Basel.git synced 2025-11-11 16:44:26 +01:00
Code Issues Actions Packages Projects Releases Wiki Activity

add lecture dates and names

Browse Source
This commit is contained in:
James Wootton 2022-04-04 17:57:25 +02:00 committed by GitHub
parent 6435c1b80d
commit f34fd41d37
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 15 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
README.md
View File

@ -18,6 +18,21 @@ The course will be based on the [Qiskit textbook](https://qiskit.org/textbook/pr
In-person lectures will be held when possible. However, since the lectures will follow the same format as in 2021, pre-recorded lectures will be available for all who cannot attend for any reason. In-person lectures will be held when possible. However, since the lectures will follow the same format as in 2021, pre-recorded lectures will be available for all who cannot attend for any reason.
* Lecture 1, March 1: The Atoms of Computation and What is Quantum
* Lecture 2, March 8: Python, Qiskit and Hello Qiskit
* Lecture 3, March 15: Representing Single Qubit States and Gates
* Lecture 4, March 22: Multi-qubit States and Circuit Identities
* Lecture 5, March 29: Fun with Matrices
* Lecture 6, April 5: Circuits and Universality
* Lecture 7, April 12: Basic Algorithms and Protocols
* Lecture 8, April 19: From the Fourier Transform to Shor's Algorithm
* Lecture 9, April 26: Grover's Algorithm (and why we can't yet run it)
* Lecture 10, May 3: Introduction to Quantum Error Correction
* Lecture 11, May 10: Quantum Error Correction: Surface Codes
* Lecture 12, May 17: Quantum Games
* Lecture 13, May 24: tbc
* Lecture 14, May 31: tbc
## Exercises ## Exercises
Some exercises will be in the form of Jupyter notebooks. These can be run locally by installing [Python 3](https://www.python.org/downloads/), [Jupyter](https://jupyter.org/) and [Qiskit](https://qiskit.org/). They can also be run online without any installation using the [IBM Quantum Lab](https://quantum-computing.ibm.com/lab). When you are on the files menu of the lab, you can click on the 'upload file' icon to upload notebooks. Some exercises will be in the form of Jupyter notebooks. These can be run locally by installing [Python 3](https://www.python.org/downloads/), [Jupyter](https://jupyter.org/) and [Qiskit](https://qiskit.org/). They can also be run online without any installation using the [IBM Quantum Lab](https://quantum-computing.ibm.com/lab). When you are on the files menu of the lab, you can click on the 'upload file' icon to upload notebooks.