QUANTUM COMPUTING AND MACHINE INTELLIGENCE: THE NEXT FRONTIER

Abstract

Quantum computing and artificial enhancement are being aligned to refigure the technological landscape through finance, healthcare, and cybersecurity. Quantum computing brings advanced computational power, enabling the solution of hard problems intractable by classical systems. In the economic sphere, the advancement enables advanced simulations, enhances fraud detection, and optimizes portfolio management. But it also presents enormous cybersecurity challenges, particularly to blockchain generation, requiring the development of subatomic - resistant cryptographic solutions.

In medicine, the combination of Subatomic computing with device mastery termed as quantum tool learning (QML) is transforming diagnostics and customized medication. QML models have demonstrated better performance in tasks involving brain tumour classification and cardiovascular disease prediction, exhibiting greater accuracy and faster computation times than conventional approaches. In addition to these advances, challenging problems such as qubit decoherence and scalability remain, highlighting the necessity for continued interdisciplinary research and development. This assessment integrates the latest trends in quantum computing and tool intelligence, pointing to their revolutionary potential and the necessity for strategic investment to deal with current constraints.