The quantumalgorithms.org project

Quantumalgorithms.org (https://quantumalgorithms.org) is an open-source book on quantum computation with two purposes. First, it aims to close the gap between the usual introductory course in quantum computing and the state-of-the-art research papers. Secondly, it aspires to be the up-to-date, go-to reference for lemmas, theorems, and algorithms needed by quantum algorithm researchers and quantum software developers. Today the book focuses on quantum machine learning and touches topics like quantum algorithms for Monte Carlo, lower bound techniques, and numerical experiments on real datasets. A conspicuous appendix also covers from error propagation to the foundation of linear algebra needed to understand quantum algorithms from a computer science perspective. The project is constantly growing. We are supported by the Unitary Fund (https://unitary.fund) and the Centre for Quantum Technologies (https://www.quantumlah.org). These lecture notes have already been used as teaching material for two different courses at Politecnico di Milano. Recently, we hosted five students from the mentorship program of the Quantum Open Source Foundation. Interested students are encouraged to engage with the core team of the open-source project if they want to contribute.