Projector Monte Carlo and Exact Diagonalization with Rimu.jl

Explore the implementation of projector quantum Monte Carlo and exact diagonalization techniques using Rimu.jl in this 30-minute JuliaCon 2024 talk. Dive into the world of quantum many-body physics problems and their mapping to linear algebra challenges. Learn how Rimu.jl tackles the exponential growth of problem size with increasing particle numbers through stochastic sampling of ground state wave functions. Discover the package's extensible design, featuring interfaces for custom many-body models and algorithm modifications. Examine the integration with external tools like Krylovkit.jl for matrix-free exact diagonalization. Gain insights into the advantages of using Julia for this project, balancing performance optimization with experimental flexibility. Understand the package structure, design choices for parallelization, and potential applications in quantum chemistry and beyond. Consider opportunities for collaboration and contribution to expand Rimu.jl's capabilities and use cases.