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The Future of AI Is Quantum Computing: 10 of the Most Important Use Cases
Latest   Machine Learning

The Future of AI Is Quantum Computing: 10 of the Most Important Use Cases

Last Updated on July 18, 2023 by Editorial Team

Author(s): Anil Tilbe

Originally published on Towards AI.

A comprehensive but abridged explanation of the intersection of AI and quantum computing (with use cases and challenges)

The Future of AI Is Quantum Computing: 10 of the Most Important Use Cases
By Erik Mclean from Pexels

Quantum computing is still in its early stages [13], potentially impacting AI in several ways. For one, quantum computers may perform certain operations faster than classical computers [14], allowing for potentially faster decision-making (e.g., to inform hyper speed parameter use cases). Additionally, because quantum computers can store and process more data than classical computers, this deeper reach could give AI systems access to more information, potentially allowing them to learn more efficiently from the insights.

Quantum computing is when computing is processed using quantum bits instead of classical bits [8], enabling faster and more powerful computations potential… Read the full blog for free on Medium.

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