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Getting Started
Learning Quantum Basis
There're lots of tutorials for quantum computing, we recommend to start from the book "Quantum computation and quantum information, 10th anniversary". To get familiar with some basic concepts, reading Sec. 1.2-1.3 and Sec. 2.1-2.2 is more than enough. Trying to solve the exercise problems of this book is extremely helpful, you can refer to this forked repository for solutions of Sec. 2 and Sec. 9, and we encourage you to add solutions for other sections and we can contribute to the original repository.
Besides this book, there are some tutorials of different software frameworks. We recommend qiskit tutorials and Baidu qulearn. It is also recommended to get familiar with qiskit framework.
You can also go through this awesome list of quantum computing.
Reading Papers
The "Quantum Computer Systems -- Research for Noisy Intermediate-Scale Quantum Computers" by Yongshan Ding and Fred Chong is a great book to glance through and learn about the topics that system-architecture community cares.
Currently we primarily focus on three aspects of quantum computer system.
- Design automation of quantum circuits.
- Quantum computer system software.
- Quantum circuit simulation.
Our target conferences include top conferences in computer architecture and design automation listed in CS rankings, i.e., ISCA, MICRO, HPCA, ASPLOS, DAC, ICCAD.
How to find papers
DBLP and Google Scholar are recommended to search papers. We also build a script to find papers from DBLP.
How to read papers
Bare in mind the following questions when reading papers.
- What problem this paper is trying to solve?
- Why this is a problem?
- How they solve it?
- Why they are better than other state-of-the-art approaches?
Miscellaneous
Notes
There are some of my personal notes of learning quantum basis and reading papers. You could find some representative papers in different directions.
Reference
If you find some interesting papers, please add an bibtex entry (use this tool or google scholar to get bibtex entry) in references.bib. (You can use this tool (website) to remove redundancy). We can reuse this file when writting papers.
- Giscus
Last update: 2024-3-18