![]() The project is open source with MIT license and is free to use. We would like the five winners of the competition to submit their work to the Quantum Katas project, so that the future generations of quantum computing students can learn from your work.5% – Pointers to resources for further study: does the tutorial offer a path for further study of the selected topic?.25% – Interactive tasks supporting the tutorial: is the tutorial using Q# code just for demonstrating certain behaviors, or does it offer the learner interactive coding tasks to help internalize the material? How well do the tasks support the tutorial goals?.25% – Coding implementation: how well Q# code serves the tutorial goals and augments the material presentation? How sophisticated is the Q# implementation?.20% – Technical depth and accuracy: how technically accurate is the material and how complicated is the topic? For example, 3-qubit bit-flip error correction code is a lot easier than most fault-tolerance topics, and this category will reflect that.25% – Readability and approachability of the tutorial: how helpful will it be to somebody who is familiar with the basics of quantum computing and is looking to learn about quantum error correction and fault tolerance?.The entry will be evaluated by a mixed panel of judges from SELSE community and Microsoft Quantum Systems team. All tutorial materials (Jupyter Notebook and any supporting Q# source code) should be stored in your GitHub repository you will submit a link to this repository as part of your entry.See “Getting started” section for a list of helpful resources and examples of Q# Jupyter Notebook tutorials on various topics.The tutorial should assume certain familiarity with the basics of quantum computing, but no deep expertise in any individual topic.If you are featuring a custom simulator that introduces certain type of noise into the system (see example), you can frame your tutorial as a combination of a Jupyter Notebook to present your results and a Q# project which implements the simulator. The tutorial should be implemented as a Jupyter Notebook using Q# – the domain-specific programming language that is part of Microsoft Quantum Development Kit.In this contest we invite you to write a tutorial on some topic in quantum error correction or fault-tolerant quantum computing. In this competition you will start exploring error correction and fault tolerance in the quantum computing world and sharing your discoveries with others! We are excited to announce IEEE Silicon Errors in Logic – System Effect Quantum Error Correction Schemes Contest. It is a rapidly growing area, and quantum error correction (QEC) and fault-tolerant quantum computation are crucial aspects of quantum computing that receive a lot of attention these days. Quantum computing is a new model of computation that harnesses quantum laws of nature to enable new types of algorithms, not efficiently possible on traditional computer.
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