German researchers are testing whether quantum computers can help catch faults hidden in the ...

A systematic review of 160 studies finds hybrid quantum machine learning competitive with classical models using fewer ...

Researchers have formulated an inherently interpretable quantum regression algorithm that directly encodes classical data ...

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 ...

Researchers investigated how quantum computing could improve machine learning when healthcare data are limited. Testing five ...

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key milestone toward demonstrating the advantages of quantum methods over ...

New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models using ...

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 ...

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IBM (IBM) plans to scale its quantum computing system beyond 1,000 qubits next year, as the company seeks to build more powerful machines capable of solving increasingly complex problems. The company ...