Quantum technology to expand soft computing
Paul J. Werbos · Systems and Soft Computing · 2022
Soft computing was founded to unify and advance computing methods beyond the limits of binary variables, Boolean logic and Turing machines . David Deutsch invented a way to use massive quantum parallelism to massively improve the power of Turing machines in some applications. Here we give a roadmap to use quantum parallelism to massively improve the power of soft computing, focusing on tasks in optimization ranging from function optimization , finding a needle in a haystack, optimal control , energy technology and reinforcement learning (Quantum artificial general intelligence, AGI) in a path leading up to optimization of physical plants themselves put into quantum superpositions . The path begins with design and test of prototypes built on platforms such as Nuclear Magnetic Resonance , sparse quantum optics , superconductors (sQuID), quantum dots and new high speed electronics.