BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Igor Lesanovsky (Universität Tübingen) DTSTART:20210524T160000Z DTEND:20210524T170000Z DTSTAMP:20260423T024740Z UID:QM3/44 DESCRIPTION:Title: Neu ral network dynamics in open quantum many-body systems\nby Igor Lesano vsky (Universität Tübingen) as part of Quantum Matter meets Maths (IST\, Lisbon)\n\n\nAbstract\nOpen quantum systems composed of atoms interacting with light exhibit behaviour that is akin to that of associative memories [1]. This means that they possess stationary states that can be\ninterpre ted as stored memory patterns\, which are retrieved when the initial state is inside the basin of attraction of a given pattern [2]. The correspondi ng pattern retrieval dynamics can be observed in actual experimental setti ngs. In these experiments atoms are confined within an optical cavity whos e photons mediate long-range interactions [3]. Stored patterns are encoded in the atom-light coupling constants. This setting offers an interesting opportunity for studying quantum generalisations of associative memories a nd stored (quantum) patterns in this context [4]. Moreover\, it allows to systematically construct scenarios in which quantum effects might be benef icial\, e.g.\, for speeding up the pattern retrieval process [5]. I will t alk about recent research of my group on this subject\, which builds a bri dge between classic machine learning concepts\, such as the Hopfield Neura l Network\, and most recent experimental manifestations of synthetic quant um matter.\n\n\n\n[1] E. Fiorelli et al.\, Physical Review Letters 125\, 0 70604 (2020)\n\n[2] F. Carollo and I. Lesanovsky\, arXiv:2009.13932 (2020) \n\n[3] V.D. Vaidya et al.\, Physical Review X 8\, 011002 (2018)\n\n[4] P. Rotondo et al.\, Journal of Physics A 51\, 115301 (2018)\n\n[5] E. Fiorel li et al.\, Physical Review A 99\, 032126 (2019)\n LOCATION:https://researchseminars.org/talk/QM3/44/ END:VEVENT END:VCALENDAR