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DTSTART:19700308T020000
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DTSTAMP:20230124T171521Z
LOCATION:C140-142
DTSTART;TZID=America/Chicago:20221113T144000
DTEND;TZID=America/Chicago:20221113T150000
UID:submissions.supercomputing.org_SC22_sess423_ws_qcs121@linklings.com
SUMMARY:Automated Error Mitigation Based on Probabilistic Error Reduction
DESCRIPTION:Workshop\n\nAutomated Error Mitigation Based on Probabilistic 
 Error Reduction\n\nMcDonough, Mari, Shammah, Stemen, Wahl...\n\nCurrent qu
 antum computers suffer from noise that prohibits extracting useful results
  directly from longer computations. The figure of merit is often an expect
 ation value, which experiences a noise induced bias. A systematic way to r
 emove such bias is probabilistic error cancellation (PEC). PEC requires no
 ise characterization and introduces an exponential sampling overhead. \n\n
 Probabilistic error reduction (PER) is a related method that systematicall
 y reduces the overhead. In combination with zero-noise extrapolation, PER 
 can yield expectation values with an accuracy comparable to PEC. We presen
 t an automated quantum error mitigation software framework that includes n
 oise tomography and application of PER to user-specified circuits. We prov
 ide a multi-platform Python package that implements a recently developed P
 auli noise tomography technique and exploits a noise scaling method to car
 ry out PER. We also provide software that leverages a previously developed
  toolchain, employing PyGSTi for gate set tomography and Mitiq for PER.\n\
 nSession Format: Recorded\n\nTag: Quantum Computing\n\nRegistration Catego
 ry: Workshop Reg Pass
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