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DTSTAMP:20230124T171520Z
LOCATION:C140-142
DTSTART;TZID=America/Chicago:20221113T094000
DTEND;TZID=America/Chicago:20221113T100000
UID:submissions.supercomputing.org_SC22_sess423_ws_qcs110@linklings.com
SUMMARY:Exploring Non-Linear Programming Formulations in QuantumCircuitOpt
for Optimal Circuit Design
DESCRIPTION:Workshop\n\nExploring Non-Linear Programming Formulations in Q
uantumCircuitOpt for Optimal Circuit Design\n\nHenderson, Nagarajan, Coffr
in\n\nThe theoretical gains promised by quantum computing remain unrealize
d across practical applications given the limitations of current hardware.
But the gap between theory and hardware is closing, assisted by developm
ents in quantum algorithmic modeling. One such recent development is Quan
tumCircuitOpt (QCOpt), an open-source software framework that leverages co
mmercial optimization-based solvers to find provably optimal compact circu
it decompositions, which are exact up to global phase and machine precisio
n. While such circuit design problems can be posed using non-linear, non-c
onvex constraints, QCOpt implements a Mixed-Integer Linear Programming mod
el, where non-linear constraints are reformulated using well-known lineari
zation techniques. In this work, we instead explore whether the QCOpt mode
l could be effective with continuous Non-Linear Programming (NLP) formulat
ions. We are able to present not only multiple potential enhancements to Q
COpt's run times, but also opportunities for more generally exploring the
behavior of gradient-based NLP solvers.\n\nSession Format: Recorded\n\nTag
: Quantum Computing\n\nRegistration Category: Workshop Reg Pass
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