2020/05/31 by Alexandre M. Souza, Eldues O. Martins, Itzhak Roditi +5
Computer Science · Physics and Astronomy · #Algorithm #Computational science #Computer engineering #Computer science #Geology #Inversion (geology) #Neural Networks and Reservoir Computing #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum annealing #Quantum computer #Quantum mechanics #Quantum metrology #Quantum simulator #Seismology #physics.geo-ph #quant-ph
paper · pdf · doi:10.3389/fphy.2021.748285
published as Front. Phys., 18 January 2022
openalex publication_date 2022/01/18 · arxiv created 2022/02/04 · arxiv updated 2022/02/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Quantum computing, along with quantum metrology and quantum communication, are disruptive technologies that promise, in the near future, to impact different sectors of academic research and industry. Among the computational challenges with great interest in science and industry are the inversion problems. These kinds of numerical procedures can be described as the process of determining the cause of an event from measurements of its effects. In this paper, we apply a recursive quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem. We compare the obtained results from the quantum computer to those derived from a classical algorithm. The accuracy achieved by the quantum computer is at least as good as that of the classical computer.