Evaluating Error Mitigation Strategies for Entangled Quantum States on Near-Term Quantum Computers
Zusammenfassung
Entanglement is one of the quantum mechanical properties to which recently emerging quantum computers attribute an exponential increase in computing power. however, these systems are subject to a set of noise-inducing physical processes and hardware-level imperfections that render the results from quantum circuits erroneous. Bridging the time until sufficient qubits are available to compensate for these effects, quantum error mitigation algorithms aim at improving the result accuracy on near-term quantum devices. This empirical investigation describes and compares customary fundamental approaches to error mitigation for quantum states in condition of entanglement on real quantum computers. It is demonstrated that two readily implementable techniques regarding circuit design and measurement error mitigation may lead to a considerable increase in the quality of results.
- Vollständige Referenz
- BibTeX
Schulze, L. & Lahmann, J.-R.,
(2021).
Evaluating Error Mitigation Strategies for Entangled Quantum States on Near-Term Quantum Computers.
In:
, .
(Hrsg.),
INFORMATIK 2021.
Gesellschaft für Informatik, Bonn.
(S. 943-960).
DOI: 10.18420/informatik2021-079
@inproceedings{mci/Schulze2021,
author = {Schulze, Lennart AND Lahmann, Jan-Rainer},
title = {Evaluating Error Mitigation Strategies for Entangled Quantum States on Near-Term Quantum Computers},
booktitle = {INFORMATIK 2021},
year = {2021},
editor = {} ,
pages = { 943-960 } ,
doi = { 10.18420/informatik2021-079 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Schulze, Lennart AND Lahmann, Jan-Rainer},
title = {Evaluating Error Mitigation Strategies for Entangled Quantum States on Near-Term Quantum Computers},
booktitle = {INFORMATIK 2021},
year = {2021},
editor = {} ,
pages = { 943-960 } ,
doi = { 10.18420/informatik2021-079 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
ISBN: 978-3-88579-708-1
ISSN: 1617-5468
Datum: 2021
Sprache:
(en)
(en)
