from the conferences organized by TANGER Ltd.
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: Quantum computing, variational quantum deflation, noise, electronic band structure© 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.