PIPages
Labs

Dimitri Shlyakhtenko

University of California-Los Angeles, CA·Mathematics & Statistics

In quantum mechanics, two properties of a system often cannot be measured at the same time. Mathematically, this shows up as non-commutativity: the quantities you can observe (called observables) form an algebra where the order of multiplication matters.

Fields

Mathematics & Statistics

Physics

Topics

von Neumann algebras

free probability

free entropy

Grants
2 known grants, through Nov 2030

What they work on

  1. Develop methods based on partial differential equations (equations describing change) for non-commutative settings, extending tools from classical analysis to von Neumann algebras using free probability.
  2. Strengthen the connection between free probability, a probability theory for non-commuting variables, and random matrix theory, the study of large matrices with random entries.
  3. Define and study a notion of dimension for von Neumann algebras based on how optimal transportation distances behave. These distances measure the cost of moving one distribution into another.
  4. Apply free information theory techniques, including free entropy, to settle structural questions about von Neumann algebras, the algebras that describe quantum observables.

More about the research

Von Neumann algebras, introduced in the 1930s, are the mathematical framework for these quantum observables. A central question is how much of ordinary calculus, probability and analysis carries over to this non-commutative world. The research treats quantum observables as random variables and borrows ideas from information theory to study the structure of these algebras.

Why it matters

This is basic mathematics. It deepens the understanding of non-commutative algebras that model quantum systems. It also links free probability to random matrix theory, a field with many applications. Through IPAM, the PI also supports collaborations that apply mathematics to areas such as medical imaging, materials science, cryptography and artificial intelligence.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Institute for Pure and Applied Mathematics

NSF · Dec 2025 – Nov 2030

Free Information Theory Techniques in von Neumann Algebras

NSF · Jul 2024 – Jun 2027

Closest labs

Srivatsav Kunnawalkam Elayavalli

University of Maryland, MD·Mathematics & Statistics

Apply Voiculescu's free entropy theory, a measure of size for noncommuting variables, to determine the structure of free products and ultrapowers of finite von Neumann algebras.

Tao Mei

Texas A&M University-College Station, TX·Mathematics & Statistics

Determine the Lp-approximation properties of group von Neumann algebras, which are operator algebras built from discrete groups, that is, how well these infinite-dimensional objects can be approximated by simpler pieces.

Cesar Cuenca

Ohio State University, OH·Mathematics & Statistics

Describe the large-scale behavior of continuous and discrete beta-ensembles (Boltzmann distributions generalizing random matrix eigenvalues and random partitions) at different temperature limits, using new versions of free probability.

The school

University of California-Los Angeles: 84 labs on PI Pages, $1.9B a year on research, 803 research doctorates a year.

More about University of California-Los Angeles

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