Resources

Here we list some useful resources for beginners in quantum information science. We will also give several tutorial lectures on the basics of quantum information and quantum computing. The location is at Courtyard No.5, Jingyuan, Peking University (北京大学静园5院) and the schedule can be found from other announcements. 

Online courses

• Quantum computation and Quantum information
• Quantum machine learning
• Qiskit
• IBM quantum learning

General introduction

• Nielsen M A , Chuang I L. Quantum Computation and Quantum Information
• John Preskill’s notes

Specific fields

algorithms

• John Watrous’s notes
• Andrew M. Childs’s notes
• Ashley M. Quantum algorithms: an overview
• Ronald de Wolf’s notes

Quantum machine learning

• Maria S., Supervised Learning with Quantum Computers
• Google Al, TensorFlow Quantum
• Challenges and opportunities in quantum machine learning
• Quantum Machine Learning A Hands-on Tutorial for Machine Learning Practitioners and Researchers

Quantum information

• Mark Wildes’s book

Recommended review papers

Entanglement

• https://link.aps.org/doi/10.1103/RevModPhys.81.865

Hybrid quantum-classical algorithms and quantum error mitigation

• https://arxiv.org/pdf/2011.01382.pdf

Quantum computational chemistry

• https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.92.015003
• [2111.05176] The Variational Quantum Eigensolver: a review of methods and best practices
• [2402.15371] Non-adiabatic quantum dynamics with fermionic subspace-expansion algorithms on quantum computers[1910.12890] Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
• Molecular Properties from Quantum Krylov Subspace Diagonalization | Journal of Chemical Theory and Computation
• [1810.09434] Subspace-search variational quantum eigensolver for excited states
• [2002.11724] Calculating transition amplitudes by variational quantum deflation Toward practical quantum embedding simulation of realistic chemical systems on near-term quantum computers – Chemical Science (RSC Publishing) DOI:10.1039/D2SC01492K
• Digital quantum simulation of molecular vibrations – Chemical Science (RSC Publishing)

Quantum algorithm

• https://journals.aps.org/rmp/pdf/10.1103/RevModPhys.82.1
• https://arxiv.org/pdf/1511.04206.pdf

Adiabatic quantum computing

• https://journals.aps.org/rmp/pdf/10.1103/RevModPhys.90.015002
• https://www.cs.umd.edu/~amchilds/qa/qa.pdf Section VI

Quantum machine learning

• https://www.nature.com/articles/nature23474
• https://journals.aps.org/rmp/pdf/10.1103/RevModPhys.91.045002

Quantum sampling problems

• https://www.nature.com/articles/nature23458
• https://www.nature.com/articles/s41534-017-0018-2