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DTSTART;TZID=Europe/Madrid:20251029T113000
DTEND;TZID=Europe/Madrid:20251029T123000
DTSTAMP:20260405T200851
CREATED:20251027T120215Z
LAST-MODIFIED:20251125T081103Z
UID:23487-1761737400-1761741000@www.ift.uam-csic.es
SUMMARY:Quantum Information Journal Club: Randomized truncation
DESCRIPTION:Speaker: Aram Harrow (MIT) \nVenue&Time: Grey Room 3 / 11:30 \nAbstract: Given a vector v\, what is the closest k-sparse vector? The answer to this question is usually that we should take the largest k entries of v. It turns out that we can do better with randomized approximations. When approximating pure bipartite entangled states with states of low Schmidt rank\, this means that mixed approximations outperform pure approximations. This fact has application to classical algorithms for matrix product states by improving the truncation step\, and to quantum algorithms for Hamiltonian simulation.\nJoint work with Angus Lowe and Freek Witteveen. \nhttps://arxiv.org/abs/2510.08518
URL:https://www.ift.uam-csic.es/event/quantum-information-journal-club-randomized-truncation-2/
LOCATION:Gray Room 3\, Instituto de Física Teórica (IFT) -C. Nicolás Cabrera\, 13-15\, Fuencarral-El Pardo\, Madrid\, 28049\,\, Spain
CATEGORIES:Journal clubs,Scientific activities
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