update for 2023

README.md

@@ -1,87 +1,37 @@
 # Quantum Information
 
-This is a [course at the University of Basel](https://vorlesungsverzeichnis.unibas.ch/en/semester-planning?id=264654), given by James Wootton of [IBM Research](https://researcher.watson.ibm.com/researcher/view.php?person=zurich-JWO).
+This is a [course at the University of Basel](https://vorlesungsverzeichnis.unibas.ch/de/home?id=278317), given by James Wootton of [IBM Research](https://researcher.watson.ibm.com/researcher/view.php?person=zurich-JWO).
+
+This repository reflects the version of the course given in 2023. For the 2020, 2021 and 2022 version see [here](https://github.com/quantumjim/Quantum-Computation-course-Basel/tree/2022).
+
+The lecture videos for this course are all on [YouTube](https://www.youtube.com/playlist?list=PLaU1vYImkPDxyqJ6zHAs8W92fYKsfXsV-) for you to view at any time.
 
-This repository reflects the version of the course given in 2020, 2021 and 2022. The lectures are all on [YouTube](https://www.youtube.com/playlist?list=PLaU1vYImkPDxyqJ6zHAs8W92fYKsfXsV-) for you to view at any time.
 
 ## Course Content
 
 Quantum information theory is the basis of multiple emerging technologies, such as quantum computation and quantum crypotography. It allows us to understand how quantum effects in physical systems may be harnessed for new forms of information processing. The course will also feature some hands on experience with quantum technology, via the open-source Qiskit framework for quantum computing.
 
+
 ## Course Text
 
-The course will be based on the [Qiskit textbook](https://github.com/NCCR-SPIN/qiskit-textbook/blob/main/content/preface.ipynb). Note that this link is to the Jupyter notebook source files of the textbook. The original textbook can be found [here](https://qiskit.org/learn/).
+The course will be based on the [Qiskit textbook](https://github.com/NCCR-SPIN/qiskit-textbook/blob/main/content/preface.ipynb). Note that this link is to the Jupyter notebook source files of the textbook. The latest version of Qiskit learning materials can be found [here](https://learning.quantum-computing.ibm.com/).
+
 
 ## Lectures
 
-Below are links to the lecture videos. For links to the corresponding sections of the textbook, see the video description.
+Most of the course will be done as a 'flipped classroom'. Lecture videos will be provided 1 week early. In-person sessions take place from 14:00-16:00 on Tuesdays. This will be used for questions from students, working together through exercises, and covering additional topics. 
+
+Below are links to the lecture videos for the lectures so far. For links to the corresponding sections of the textbook, see the video description.
+
+* Lecture 1: [The Atoms of Computation and What is Quantum](https://youtu.be/myzcjukQUFc) and [Python, Qiskit and Hello Qiskit](https://youtu.be/mMJtw-vFXC4)
+
 
-* Lecture 1: [The Atoms of Computation and What is Quantum](https://youtu.be/myzcjukQUFc)
-* Lecture 2: [Python, Qiskit and Hello Qiskit](https://youtu.be/mMJtw-vFXC4)
-* Lecture 3: [Representing Single Qubit States and Gates](https://youtu.be/GdRt8vO9xY8)
-* Lecture 4: [Multi-qubit States and Circuit Identities](https://youtu.be/pzkeypXaQ-Q)
-* Lecture 5: Fun with Matrices
-* Lecture 6: Circuits and Universality
-* Lecture 7: Basic Algorithms and Protocols
-* Lecture 8: From the Fourier Transform to Shor's Algorithm
-* Lecture 9: Grover's Algorithm (and why we can't yet run it)
-* Lecture 10: [Introduction to Quantum Error Correction](https://youtu.be/AuDfq7j_W7E)
-* Lecture 11: [Quantum Error Correction: Surface Codes](https://youtu.be/IdZkxX-Qank)
 
 ## 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.
+Take home exercises will be given every few weeks. More information will follow when the first set is given.
 
-The easiest way to to download the exercises is to download the whole repository using [this link](https://github.com/quantumjim/Quantum-information-course-Basel/archive/master.zip).
 
 ## Exam/Final Project
 
-As in previous years, we'll have a final project instead of a standard exam.
-
-The main aim of this is for you to demonstrate understanding of the topics in the course. The format is fairly free to allow you to do this in a way that suits you best. Collaboration will be fine. But everyone needs something unique to submit.
-
-Below are the different kinds of project you can choose from. Examples of existing work are given to give you and idea of what you can produce.
-
-### Write an explanation of a topic of your choice
-
-You can write about one of the topics covered in the lectures, or about something that wasn't covered. You can include relevant example code in Qiskit, or you can avoid the programming and just have text and images
-
-#### Examples
-
-* [Qiskit Textbook section on Phase Kickback](https://qiskit.org/textbook/ch-gates/phase-kickback.html).
-* [Qiskit Textbook section on Berstein-Vazirani](https://qiskit.org/textbook/ch-algorithms/bernstein-vazirani.html).
-* [An attempt at a popular science article on quantum non-locality](https://bullshit.ist/some-quantum-weirdness-with-the-simplest-maths-possible-446d33046cf7).
-
-
-### Make a game using quantum programming
-
-Throughout the history of computing, people have been making simple games to help understand the new technology. Now we can do the same thing with quantum computing. I wrote a whole article on this idea, which you can find [here](https://medium.com/@decodoku/games-computers-and-quantum-84bfdd2c0fe0).
-
-Basically, reasons why we might make a quantum game are:
-* To provide a simple and accessible example of a quantum program in action.
-* To educate people about quantum computing.
-* To start looking for ways in which quantum computing might actually be useful for games.
-
-To make a game, you need a game engine of some sort. Fortunately we at IBM Quantum have made one specifically to help people making quantum games with Qiskit. You can find it [here](https://github.com/qiskit-community/Qisge/blob/main/README.md). Also see [this video](https://www.twitch.tv/videos/996850668) on how to use it.
-
-**Remember: don't just use quantum for a random number generator!**
-
-#### Examples
-
-* [Hello Qiskit](https://qiskit.org/textbook/ch-ex/hello-qiskit.html): a game that teaches quantum computing.
-* [Quantum Awesomeness](https://github.com/Qiskit/qiskit-community-tutorials/blob/master/games/quantum_awesomeness.ipynb): a game that gives insight into real devices (and [featured in the NZZ](https://www.nzz.ch/wissenschaft/games-with-james-ld.1367435)).
-* [QPong](https://www.youtube.com/watch?v=a1NZC5rqQD8): A game that implements the core game mechanic with a (simulation of).
-* [Q Avrai](https://github.com/quantumjim/Q_Avrai/blob/master/papers/CoG/main.pdf): using quantum computing for map generation.
-
-
-### Run benchmarks on prototype devices
-
-You can access real quantum hardware at the [IBM Quantum Experience](quantum-computing.ibm.com/) and [Quantum Inspire](https://www.quantum-inspire.com/). But how well do they actually work? Many people have run various different types of quantum circuit and analyzed the results to give some insight into this.
-
-You can come up with your own method for benchmarking, or reproduce something that has already been done on a different device. The easiest way is to implement repetition codes using [Qiskit's `topological_codes` module](https://github.com/quantumjim/TopologicalCodesTutorial/blob/main/README.md). But since this package (hopefully) makes it easy, you'll need to try out more than just a single code on a single device
-
-#### Examples
-
-* [Quantum Awesomeness](https://github.com/Qiskit/qiskit-community-tutorials/blob/master/games/quantum_awesomeness.ipynb): a game that gives insight into real devices (and [featured in the NZZ](https://www.nzz.ch/wissenschaft/games-with-james-ld.1367435)).
-* [Decoherence of entangled states](https://arxiv.org/abs/1712.07080): A paper looking at decoherence in GHZ states.
-* [Repetition Codes](https://arxiv.org/abs/2004.11037): using Qiskit's `topological_codes` module to test a device.
+More information regarding the final evaluation will follow.