Quantum Computing for Data Centric Engineering and Science

Abstract

In this perspective I give my answer to the question of how quantum computing will impact on data-intensive applications in engineering and science. I focus on quantum Monte Carlo integration as a likely source of (relatively) near-term quantum advantage, but also discuss some other ideas that have garnered wide-spread interest.

14 pages, 4 figures

References in corpus (8)

• Supplementary information for "Quantum supremacy using a programmable superconducting processor"
• Quantum algorithm for solving linear systems of equations
• Quantum computational advantage using photons
• Quantum reinforcement learning
• Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy
• Low-distance Surface Codes under Realistic Quantum Noise
• Focus beyond quadratic speedups for error-corrected quantum advantage
• Communication Links for Distributed Quantum Computation