The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

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 problems ...

Quantum Machine Learning is an interdisciplinary field that harnesses the computational power of quantum systems to develop algorithms that can process and analyze data more efficiently than classical ...

At a time when data are doubling every two years, the U.S. is projected to create over 40 billion gigabytes of data by 2025. To prepare for the influx, Kennesaw State University associate professor ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. The newly issued patent outlines a pipeline to improve the scalability ...

Today's energy industry is undergoing profound changes in response to the demands of climate change mitigation. To improve their operations, optimize resources, and enhance customer experiences, ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

The Indian Institute of Technology (IIT) Roorkee has launched an Advanced Certificate in Quantum Computing: Algorithms and Artificial Intelligence/Machine Learning to help professionals upskill for ...

Archer Materials Limited (“Archer”), a technology company developing advanced semiconductors for quantum technology and medical diagnostics, has entered into a Research Services Agreement with the ...