Quantum Acceleration For Frontier AI: Does It Cut The Cost Of Training?

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
AZoQuantum

Zapata and University of Maryland Collaborate to Advance New Paradigm in Quantum Software

Zapata Quantum, Inc. (“Zapata”, “Zapata Quantum”), a pioneer in quantum computing application and algorithm development, ...
EurekAlert!

AI surpasses mathematical limits to decode the mysteries of non-Hermitian topology

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
New Scientist

Quantum computers could help sharpen images of exoplanets

Combining two kinds of quantum computing devices could be just the trick for taking better images of faint, faraway ...
IEEE

Comparative Analysis of Quantum Approximate Optimization Algorithms for Solving the Travelling Salesperson Problem

Abstract: The Quantum Approximate Optimization Algorithm (QAOA) was developed to tackle combinatorial optimization problems, such as the Travelling Salesman Problem (TSP), by approximating solutions ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...