Curriculum
Five main topics will be covered: general engineering principles behind high performance numerical computing (including the use of accelerators like GPUs); state-vector simulation techniques; tensor network theory and practice; fast simulation of Clifford circuits and error correcting codes; discrete event modeling for quantum networks.
Most of the practice will be in the Julia programming language due to the ease with which one can introduce low-level high-performance constructs in it, without losing the dynamic nature and ease of prototyping available in languages like Python. However, practical tips and guides will be provided for programming in Python, Rust, and C/C++, as well.
Multiple hackathons, will be available in the evenings, providing opportunities to work on personal research projects with the help of the instructors, and with bounties available for work on open source projects.
The summer school will end with multiple showcases, workshops, and hackathons from academic and industry partners, demonstrating how the techniques discussed during the summer school are currently applied at the cutting edge of science.
In the extended sessions we will cover many of the following topics:
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
Confirmed Lecturers
Stefan Krastanov: CS and Physics professor at University of Massachusetts Amherst, lead of the QuantumClifford.jl project and of the NSF Center for Quantum Networks virtual testbed
Katharine Hyatt: Core Julia developer, past scientist at AWS quantum information science division, and past member of the Flatiron institute
Miles Stoudenmire: Research Scientist at Flatiron Institute Center for Computational Quantum Physics, expert on tensor networks and one of the developers of the ITensor library.
Andy Goldschmidt: Postdoc at the University of Chicago, expert on optimal control algorithms for quantum technology.
Raye Kimmerer: Former Master's student in MIT Julia lab.