Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle ...

Approaches to quantum-enhanced machine learning. Quantum search In the mid-1990s, computer scientist Lov Grover showed that a future quantum computer can search an unsorted database – such as ...

Further research in quantum machine learning for data analysis is necessary before it can be of use to industries for practical application, Chen said, and an IUCRC would make tangible progress. “We ...

Grid of atoms is both a quantum computer and an optimization solver The optimization mode requires quantum effects, can solve a growing list of problems. John Timmer – Feb 16, 2023 7:30 am | 30 ...

Quantum sensors can modernize the U.S. electrical grid through on-site technology with the long-term aim of supporting climate resilience. Skip to Content Notice at Collection ...

D-Wave's Murray Thom shared his company's quantum computing applications: about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.

Dr. Muhammad Usman, a CSIRO quantum scientist and the senior author of the study, said the research team was able to ...

Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems. This challenge had been ...

Bridging The Innovation Gap For The Broader AI Landscape. As we explore the potential of quantum machine learning, it is crucial to understand how it integrates with the broader AI ecosystem.