IBM is no longer talking about quantum computing as a distant science project. It is laying out a tightly sequenced plan that ...

Machine learning, and more generally, artificial intelligence, has achieved dramatic success over the past decade. This has been apparent in the tackling of notoriously challenging problems such as ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

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 ...

HSBC used IBM's quantum computers to improve a process involved in algorithm bond trading. The collaboration demonstrated that pairing quantum computers with classical techniques can provide ...

Montréal, Sept. 16, 2024 – Quantum sofware company Q-CTRL today announced that it offers two services via IBM’s new Qiskit Functions Catalog to simplify application development and performance ...

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 ...

Overview  Quantum computing skills now influence hiring decisions across technology, finance, research, and national security sectors.Employers prefer cand ...