Speaker
Description
Quantum computing is currently emerging as a possibly useful paradigm for solving highly complex computational problems. Current quantum computers are unfortunately too noisy to provide sufficient results, so 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. In our study we focused on the noise in current quantum computers and its impact on the calculations of the electronic band structure of silicon in the diamond lattice. The obtained results of our noisy-quantum computations have been compared with the classical diagonalization methods as well as results that were obtained from simulating the run of an ideal noiseless quantum computer. The quantum part of VQD ran on a classical simulator with imported noise models from real superconducting quantum computers from IBM.
