A systematic review of 16 studies finds quantum machine learning promising for medical image analysis but concludes the ...

A systematic review of 78 papers examines how machine learning methods support demand forecasting and inventory ...

Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

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 ...

Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in immuno-oncology: predicting which tumor mutations will trigger an immune response.

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 ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

About a year and a half ago, quantum control startup Quantum Machines and Nvidia announced a deep partnership that would bring together Nvidia’s DGX Quantum computing platform and Quantum Machine’s ...

A concept from the field of quantum mechanics, spin is a property of particles that has no direct counterpart in everyday experience. Since the early 20th century, researchers have learned to ...