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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
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SEQUENCE:3
UID:UW-Physics-Event-8671
DTSTART:20240313T200000Z
DTEND:20240313T220000Z
DTSTAMP:20240914T100555Z
LAST-MODIFIED:20240307T153227Z
LOCATION:https://uwmadison.zoom.us/j/95142985630
SUMMARY:Theoretical Chemistry Institute seminar and panel with Dr. Thi
Ha Kyaw and Dr. Gaurav Saxena from LG Electronics. \, Wisconsin Quant
um Institute\, Dr. Thi Ha Kyaw and Dr. Gaurav Saxena\, LG Electronics
DESCRIPTION:### Talk 1: A critical limitation of quantum imaginary tim
e evolution-like algorithms in noisy quantum hardware (Thi Ha Kyaw)
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\nAbstract: The variational quantum imaginary time evolution alg
orithm is efficient in finding the ground state of a quantum Hamiltoni
an. This algorithm involves solving a system of linear equations in a
classical computer and the solution is then used to propagate a quantu
m wavefunction. Here\, we show that owing to the noisy nature of curre
nt quantum processors\, such a quantum algorithm or the family of quan
tum algorithms that require classical computation of inverting a matri
x with high condition number will require single- and two-qubit gates
with very low error probability. Failure to meet such conditions will
result in erroneous quantum data propagation even for a relatively sma
ll quantum circuit ansatz. Specifically\, we find the upper bounds on
how the quantum algorithmic error scales with the probability of error
s in quantum hardware. Our work challenges the mainstream notion of hy
brid quantum-classical quantum algorithms being able to perform under
noisy environments while we show such algorithms require very low erro
r quantum gates to get reliable results.

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### Talk 2: Improved
error mitigation protocol by restricted evolution (Gaurav Saxena)

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\nAbstract: To perform any meaningful computation using NISQ proc
essors\, error mitigation protocols need to be deployed in the quantum
circuits. Here\, we propose a constant runtime error mitigation proto
col. Further\, we propose a hybrid error mitigation protocol by combin
ing our methods with the probabilistic error cancellation to improve t
he bias and the sampling overhead in estimating the expectation value
of an observable. We showed that the sampling overhead and the bias of
our protocol depend on a measure called generalized robustness and we
also found bounds on this measure under general noise scenario.

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URL:https://www.physics.wisc.edu/events/?id=8671
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