Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Multi-target quantum compilation protocol. Its core is a quantum circuit designed for quantum computers. The circuit is built from a pool of gates, with the input being a set of target operations. It ...

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 ...

Silicon Quantum Computing ("SQC"), a leader in quantum computing and quantum machine learning, has achieved a breakthrough that positions the ...

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 ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Overview: Quantum computing promises exponential speedups for complex healthcare problems like molecular simulation, genomics, and precision medicine, but real- ...

A cryostat from a quantum computer stands during a press tour of a quantum computing center. (Photo by Sven Hoppe/picture alliance via Getty Images) This past week Microsoft announced a major ...

Quantum Science and Engineering is the study and application of the principles of quantum mechanics (such as superposition and entanglement) to develop new technologies that surpass the limits of ...

Quantum computers will one day outpace the fastest supercomputers on the planet, but what will they be used to accomplish? When you purchase through links on our site, we may earn an affiliate ...