Article Back

NOISY QUANTUM COMPUTING OF ELECTRONIC STRUCTURE OF CRYSTALS

1,2 VAŠINA Vojtěch
Co-authors:
2 MIHÁLIKOVÁ Ivana 2 FRIÁK Martin
Institutions:
1 Brno University of Technology, Faculty of Mechanical Engineering, Institute of Materials Science and Engineering, Brno, Czech Republic, EU, vasina@ipm.cz
2 Institute of Physics of Materials, v.v.i., Czech Academy of Sciences, Brno, Czech Republic, EU, mihalikova@ipm.cz, friak@ipm.cz
Conference:
34th International Conference on Metallurgy and Materials, Orea Congress Hotel Brno, Czech Republic, EU, May 21 - 23, 2025
Proceedings:
Proceedings 34th International Conference on Metallurgy and Materials
ISBN:
978-80-88365-27-3
ISSN:
2694-9296
Licence:
CC BY 4.0
Metrics:
25 views / 16 downloads
View Full-text Download PDF
Abstract

Quantum computing is currently emerging as a useful paradigm for solving highly 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 Deflation (VQD) has gained significant attention for addressing challenges in quantum chemistry, material science, etc. VQDs typically use multiple optimization methods, and the correct choice of optimization method can significantly impact performance. In our study, we focused on the comparison of multiple optimization methods used in VQD when applied to the electronic structure of crystals. The quantum part of VQD ran on a classical simulator with imported noise models from real quantum computers from the IBM Quantum Platform.

Keywords: Quantum computers, optimization methods, variational quantum deflation (VQD), hybrid quantum computing, impact of noise

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scroll to Top