Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Key Takeaways AI uses patterns in data to make predictions and decisions, while quantum computing uses qubits to tackle ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data inherently “noisy.” Rice University computer scientists have developed algorithms ...

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 ...

A machine learning model on the D-Wave quantum computer identified lung cancer in test data with over 90% accuracy. The experiment was conducted by a team led ...

Quantum convolutional neural networks (QCNNs) are structured variational quantum architectures for quantum machine learning(QML). This study examines their practical reliability through the balance ...

Quantum advantage refers to the point at which a quantum computer solves a clearly defined task faster or more efficiently than any classical computer—or makes it solvable in the first place. For many ...

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 ...

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 ...

A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing ...