Original title:
Suppresing noise in quantum computing of electronic structure of crystals
Authors:
Hojač, Jan ; Vašina, Vojtěch ; Friák, Martin Document type: Papers Conference/Event: NANOCON 2025 - International Conference on Nanomaterials - Research & Application /17./, Brno (CZ), 20251015
Year:
2026
Language:
eng Series:
NANOCON Conference Proceedings Abstract:
Quantum computing is currently emerging as a new computational technology for solving complex computational problems. Current quantum computers are unfortunately too noisy to provide sufficient accuracy, and quantum-classical hybrid algorithms emerged as a solution. Variational Quantum Algorithms are currently showing promising results at overcoming noise introduced by the current level of quantum hardware. Variational Quantum Deflation (VQD) has gained significant attention when computing the full spectrum of eigenvalues in quantum chemistry and solid-state physics. The noise in the VQD calculations performed on the current noisy quantum computers, or their simulators, can be partly suppressed by methods available in the Qiskit Python package provided by IBM. In our study, several error suppression and mitigation methods have been tested, and our results offer a unique comparison in the case of calculations on the electronic structure of crystals, where performance is sensitive to the actual point in the reciprocal space.
Keywords:
electronic band structure; noise; Quantum computing; variational quantum deflation Project no.: StrategieAV21/26, LUC25028 Funding provider: AV ČR, GA MŠk Host item entry: NANOCON Conference Proceedings, ISBN 978-80-88365-29-7, ISSN 2694-930X Note: Související webová stránka: https://www.confer.cz/nanocon/2025/5189-suppressing-noise-in-quantum-computing-of-electronic-structure-of-crystals
Institution: Institute of Physics of Materials AS ČR
(web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences. Original record: https://hdl.handle.net/11104/0379938