9 citations · 12 across the 3 of their papers we have counts for
3 papers
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
Feasibility of accelerating homogeneous catalyst discovery with fault-tolerant quantum computers
Nicole Bellonzi, Alexander Kunitsa, Joshua T. Cantin +16
The industrial manufacturing of chemicals consumes a significant amount of energy and raw materials. In principle, the development of new catalysts could greatly improve the effici…
Probing Quantum Efficiency: Exploring System Hardness in Electronic Ground State Energy Estimation
Seonghoon Choi, Ignacio Loaiza, Robert A. Lang +2
We consider the question of how correlated the system hardness is between classical algorithms of electronic structure theory in ground state estimation and quantum algorithms. To…