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DTSTART:20240310T070000
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DTSTART:20231105T060000
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UID:69e481b44be9f
DTSTART;TZID=America/Toronto:20240724T120000
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URL:https://uwaterloo.ca/institute-for-quantum-computing/events/iqc-student
 -seminar-featuring-emiliia-dyrenkova
LOCATION:QNC - Quantum Nano Centre Room 1201 200 University Avenue West Wat
 erloo ON N2L 3G1 Canada
SUMMARY:IQC Student Seminar Featuring Emiliia Dyrenkova
CLASS:PUBLIC
DESCRIPTION:FERMION-TO-QUBIT MAPPINGS AND THEIR ERROR MITIGATING PROPERTIES
 \n\nQNC building\, 200 University Ave. Room 1201\, Waterloo \n\n As we m
 ove towards the era of quantum computers with 1000+ qubits\,\nthe most pro
 mising application able to harness the potential of such\ndevices is quant
 um simulation. Simulating fermionic systems is both a\nwell-formulated pro
 blem with clear real-world applications and a\ncomputationally challenging
  task. In order to simulate a system of\nfermions on a quantum computer\, 
 one has to map the fermionic\nHamiltonian to a qubit Hamiltonian. The most
  popular such mapping is\nthe Jordan-Wigner encoding\, which suffers from 
 inefficiencies caused\nby the non-locality of the encoded operators. As a 
 result\, alternative\nlocal mappings have been proposed that solve the pro
 blem of long\nencoded operators at the expense of constant factor of qubit
 s. Some of\nthese alternative mappings end up possessing non-trivial stabi
 lizer\nstructure akin to popular quantum error correction (QEC) codes. \n
 \nIn this talk\, I will introduce the problem of mapping fermionic\noperat
 ors to qubit operators and how the selection of an encoding\ncould affect 
 resource requirements in near-term simulations. I will\nalso talk about er
 ror mitigation approaches utilizing the stabilizer\nstructure of certain e
 ncodings as well as using stabilizer simulation\nto assess the effectivene
 ss of such approaches.
DTSTAMP:20260419T071812Z
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