BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//RLASKEY//CALENDEROUS//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261018T170942Z
LAST-MODIFIED:20171129T180150Z
DTSTART:20171201T170000Z
DTEND:20171201T180000Z
UID:event1863@bu.edu
URL:http://physics.bu.edu/internal/events/show/1863
SUMMARY:"Learning and optimizing quantum control landscapes"
DESCRIPTION:Featuring Alexandre Day\, Boston University\, Department of Phy
	sics\n\nPart of the Condensed Matter Theory Seminar Series.\n\nThe ability 
	to prepare quantum states rapidly and with high fidelity is crucial for qua
	ntum technologies. In this talk I will discuss the control problem of a cha
	in of coupled qubits. In particular we will see that there exist phase tran
	sitions in the quantum state preparation problem and a possible mapping to 
	a spin-glass model. We will also touch on how various optimization methods\
	, including reinforcement learning\, can help discover novel preparation pr
	otocols and in particular we will consider their robustness and their resou
	rce requirements.
LOCATION:SCI 352\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
END:VEVENT
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