TY - GEN
T1 - Residual statics estimation with quantum annealing
AU - Van Der Linde, S.
AU - Dukalski, M.
AU - Möller, M.
AU - Neumann, N.
AU - Phillipson, F.
AU - Rovetta, D.
PY - 2022
Y1 - 2022
N2 - Quantum computing could be a potential game-changer in industry sectors relying on the efficient solutions of large-scale global optimization problems. Exploration geoscience, is full of optimization problems and hence is a good candidate for application of quantum computing. It was recently suggested that quantum annealing, a form of adiabatic quantum computer, is a much better suited quantum computing platform for optimization problems than gate-based quantum computing. In this work, we show how the residual statics estimation problem can be solved on the quantum annealer and present our first results obtained on a quantum computer.
AB - Quantum computing could be a potential game-changer in industry sectors relying on the efficient solutions of large-scale global optimization problems. Exploration geoscience, is full of optimization problems and hence is a good candidate for application of quantum computing. It was recently suggested that quantum annealing, a form of adiabatic quantum computer, is a much better suited quantum computing platform for optimization problems than gate-based quantum computing. In this work, we show how the residual statics estimation problem can be solved on the quantum annealer and present our first results obtained on a quantum computer.
UR - http://www.scopus.com/inward/record.url?scp=85142883109&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85142883109
T3 - 83rd EAGE Conference and Exhibition 2022
SP - 672
EP - 676
BT - 83rd EAGE Conference and Exhibition 2022
PB - EAGE
T2 - 83rd EAGE Conference and Exhibition 2022
Y2 - 6 June 2022 through 9 June 2022
ER -