Numerical Methods
in Quantum Information Science
2025
Summer School at the University of Massachusetts AmherstJuly 14th (Mon) - 18th (Fri)
Target audience
Folks with QIS expertise and baseline programming skills searching to significantly expand them.Graduate Students, Postdocs, and Professionals
Graduate students, postdocs, and professionals in Quantum Information Science who want to supercharge their classical programming skills.Exceptional Undergraduates
Talented undergrads will be admitted on case-by-case basis after reviewing their applications. Free admission and travel grants will be available to undergraduates.Hackers
The summer school will host hackathons where participants are empowered to make their first contribution to an open source project, flesh out the first software steps necessary for a novel result in QIS, or design and control quantum hardware.Curriculum
Providing significant breadth of skills in QIS.General software engineering practices and cluster computing tools
Advanced general scientific programming (ODEs, optimization, autodifferentiation)
GPU programming
Fast general purpose wavefunction simulation
Tensor networks for faster approximate quantum simulations
Stabilizer formalism for quantum ECC
Optimal control of quantum hardware
Discrete event simulations (e.g. for networking)
Symbolic computer algebra basics
Sponsors, Presenters, and Instructors from
