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URL:https://uwaterloo.ca/institute-for-quantum-computing/events/towards-sca
 lable-yet-high-fidelity-quantum-processors
LOCATION:QNC - Quantum Nano Centre 200 University Avenue West QNC 1201 Wate
 rloo ON N2L 3G1 Canada
SUMMARY:Towards scalable yet high-fidelity quantum processors
CLASS:PUBLIC
DESCRIPTION:FELIX MOTZOI - UNIVERSITY OF CALIFORNIA\n\nIn the NISQ era of 
 quantum computing\, as system sizes are\nprogressively increasing\, there 
 are major concerns about the\ndegradation of performance with increasing c
 omplexity. These can\nlargely be reduced to the problems of crosstalk and 
 correlations\nbetween system components\, of fabrication uncertainties and
  drift in\nsystem parameters\, and of multi-parameter optimization across\
 nmulti-qubit state spaces in a fixed uptime duty cycle. In this\npresentat
 ion\, we address inroads towards a more comprehensive\,\nscalable approach
  for control theoretic solutions to maintaining\n(given architecture) perf
 ormance that encompasses: a method to\nincorporate arbitrary couplings int
 o an effective Hamiltonian frame\nwith superexponential speedup compared t
 o standard perturbative\napproaches [B. Li\, T. Calarco\, F. Motzoi\, PRX 
 Quantum 3\, 030313\n(2022)]\; a control theoretic approach to tracking unc
 ertainties in\nquantum circuits giving tight error bounds [M. Dalgaard\, C
 . Weidner\,\nF\, Motzoi - Phys. Rev. Lett. 128\, 150503 (2022)]\; and a ma
 chine\nlearning framework for symbolic optimization given particular\nHami
 ltonian and associated uncertainties with a single\nmeta-optimization perm
 itting simultaneous tuneup of all qubits within\nthe architecture belongin
 g to the same class of Hamiltonians [F.\nPreti\, T. Calarco\, F. Motzoi\, 
 arXiv:2203.13594 (2022)].
DTSTAMP:20260408T142524Z
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