Paper Contents
Abstract
This paper investigates the mutually beneficial interaction between artificial intelligence (AI) & machine learning (ML) in the enhancement of quantum technologies. There has been significant progress towards the optimization of quantum circuits including quantum error correction, and improved calibration and control of quantum devices with the headway made in AI and ML. A combination of these tools enables researchers to tackle some critical problems in quantum computing such as noise, scalability, and algorithmic inefficiencies. The paper discusses methods of operation of quantum systems based on AI algorithms that will make it possible to perform advanced simulations, optimization and real-time applications. This review focuses on the progress that AI, ML and their combinations are bringing to quantum technologies, for connecting previously achieved theoretical progress and practical perspectives of these technologies development.
Copyright
Copyright © 2024 Simmi Chaudhary. This is an open access article distributed under the Creative Commons Attribution License.
