Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

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 is entering a pivotal year as breakthroughs move from laboratory experiments to real business impact across ...

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...

Logical qubits — physical quantum bits, or qubits, connected through quantum entanglement — reduce errors in quantum computers by storing the same data in different places. This diversifies the points ...

A partnership between Microsoft and Atom Computing has leveraged high-performance computing to successfully process 24 logical qubits, or quantum bits, marking a milestone in the quest to bring ...

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 ...

The past decade has seen significant advances and investment in quantum computing, and yet the devices we have today essentially have no practical purpose. That is down to two main reasons – the first ...

Observing the flow of time at the quantum scale reveals a puzzling energy phenomenon: the energy required to simply read the time astronomically exceeds that consumed by the device's operation itself.

In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability without compromising compatibility with current technologies.