Video URL
https://pirsa.org/22050001Resource theory of quantum complexity
APA
Munson, A. (2022). Resource theory of quantum complexity. Perimeter Institute for Theoretical Physics. https://pirsa.org/22050001
MLA
Munson, Anthony. Resource theory of quantum complexity. Perimeter Institute for Theoretical Physics, May. 11, 2022, https://pirsa.org/22050001
BibTex
@misc{ scivideos_PIRSA:22050001, doi = {10.48660/22050001}, url = {https://pirsa.org/22050001}, author = {Munson, Anthony}, keywords = {Quantum Information}, language = {en}, title = {Resource theory of quantum complexity}, publisher = {Perimeter Institute for Theoretical Physics}, year = {2022}, month = {may}, note = {PIRSA:22050001 see, \url{https://scivideos.org/pirsa/22050001}} }
Anthony Munson University of Maryland, College Park
Abstract
Quantum complexity is emerging as a key property of many-body systems, including black holes, topological materials, and early quantum computers. A state's complexity quantifies the number of computational gates required to prepare the state from a simple tensor product. The greater a state's distance from maximal complexity, or ``uncomplexity,'' the more useful the state is as input to a quantum computation. Separately, resource theories -- simple models for agents subject to constraints -- are burgeoning in quantum information theory. We unite the two domains, confirming Brown and Susskind's conjecture that a resource theory of uncomplexity can be defined. The allowed operations, fuzzy operations, are slightly random implementations of two-qubit gates chosen by an agent. We formalize two operational tasks, uncomplexity extraction and expenditure. Their optimal efficiencies depend on an entropy that we engineer to reflect complexity. We also present two monotones, uncomplexity measures that decline monotonically under fuzzy operations, in certain regimes. This work unleashes on many-body complexity the resource-theory toolkit from quantum information theory.
Zoom Link: https://pitp.zoom.us/j/96197686002?pwd=R2dPbTY3TEMxQWdESWpYeno3VDlOZz09