BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser BEGIN:VEVENT UID:6337c132f304f DTSTART;TZID=America/Toronto:20220826T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20220826T110000 SUMMARY:Towards scalable yet high-fidelity quantum processors CLASS:PUBLIC DESCRIPTION:Summary \n\nFELIX MOTZOI - UNIVERSITY OF CALIFORNIA\n\nIn the NISQ era of quantum computing\, as system sizes are\nprogressively increas ing\, there are major concerns about the\ndegradation of performance with increasing complexity. These can\nlargely be reduced to the problems of cr osstalk and correlations\nbetween system components\, of fabrication uncer tainties and drift in\nsystem parameters\, and of multi-parameter optimiza tion across\nmulti-qubit state spaces in a fixed uptime duty cycle. In thi s\npresentation\, we address inroads towards a more comprehensive\,\nscala ble approach for control theoretic solutions to maintaining\n(given archit ecture) performance that encompasses: a method to\nincorporate arbitrary c ouplings into an effective Hamiltonian frame\nwith superexponential speedu p compared to standard perturbative\napproaches [B. Li\, T. Calarco\, F. M otzoi\, PRX Quantum 3\, 030313\n(2022)]\; a control theoretic approach to tracking uncertainties in\nquantum circuits giving tight error bounds [M. Dalgaard\, C. Weidner\,\nF\, Motzoi - Phys. Rev. Lett. 128\, 150503 (2022) ]\; and a machine\nlearning framework for symbolic optimization given part icular\nHamiltonian and associated uncertainties with a single\nmeta-optim ization permitting simultaneous tuneup of all qubits within\nthe architect ure belonging to the same class of Hamiltonians [F.\nPreti\, T. Calarco\, F. Motzoi\, arXiv:2203.13594 (2022)].\n DTSTAMP:20221001T042522Z END:VEVENT END:VCALENDAR