Air Force Institute of Technology Researchers Provide New Study Findings on Mach ine Learning (Improving 2-5 Qubit Quantum Phase Estimation Circuits Using Machin e Learning)
Air Force Institute of Technology Researchers Provide New Study Findings on Mach ine Learning (Improving 2-5 Qubit Quantum Phase Estimation Circuits Using Machin e Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Wright Patterson AFB, Ohio, by NewsRx correspondents, research stated, “Quantum computing has the potential to solve problems that are currently intractable to classical computers with algori thms like Quantum Phase Estimation (QPE); however, noise significantly hinders t he performance of today’s quantum computers. Machine learning has the potential to improve the performance of QPE algorithms, especially in the presence of noise.”
Key words
Air Force Institute of Technology/Wrigh t Patterson AFB/Ohio/United States/North and Central America/Algorithms/Cyb orgs/Emerging Technologies/Machine Learning
NETL
NSTL