Quantitative linear algebra meets quantum information theory

Workshop explores commonalities of math, computer science, physics, and engineering

QLA Meets QIT II, Workshop
November 3–5, 2022
Illini Center, Chicago

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.

A workshop jointly sponsored by members of the Illinois Quantum Information Science and Technology Center (IQUIST) will focus on current trends in quantum information theory—in particular, on quantum channels and decoherence, quantum error correction, and Hamiltonian complexity.

Scheduled speakers include

  • Harriet Apel (University College London);

  • Angela Capel-Cuevas (University of Tübingen);

  • Alexander Müller-Hermes (University of Oslo);

  • Anthony Munson (University of Maryland);

  • Chinmay Nirkhe (IBM Quantum); and

  • Graeme Smith (University of Colorado Boulder).

All interested participants should complete the registration form, particularly if they will be requesting funding for lodging. Those who need to request funding to attend the workshop should complete the registration form by Friday, October 7.

For more information about the workshop, including accommodations, please visit the QLA Meets QIT II website.



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