Over many decades various mathematicians, computer scientists, physicists, and engineers have made amazing connections and links between quantitative linear algebra (QLA) and quantum information theory (QIT). Quantitative linear algebra lies at the intersection of topics such as discrepancy theory, spectral graph theory, random matrices, geometric group theory, ergodic theory, and von Neumann algebras. In particular, a specific emphasis is put on the connections between problems which arise in infinite-dimensional analysis, and those which arise quantitatively in finite-dimensions.
This year's workshop will focus on current trends in quantum information theory. In particular, on quantum channels and decoherence, quantum error correction, and Hamiltonian complexity.
More details can be found on the workshop website: https://sites.google.com/view/qlameetsqitii/home