Quantum machine learning (QML) combines quantum computing principles with artificial intelligence to solve problems that classical algorithms struggle to address.

The key milestone for quantum computing, Lidar says, has always been to demonstrate that we can execute entire algorithms with a scaling speedup relative to ordinary "classical" computers.

Grover's algorithm, a quantum algorithm for search, can be used to prepare entangled states of many qubits efficiently. It can be physically implemented in atom-cavity systems by repeatedly ...

The reliable engineering of quantum states, particularly those involving several particles, is central to the development of various quantum technologies, including quantum computers, sensors and ...

With the advent of quantum computing, such continuous search problems have gained new momentum due to the potential for quantum speedup.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Imagine a scenario where banks can forecast market shifts in a matter of milliseconds, ...

On July 24 at the Global Quantum Forum in Chicago, IBM and the University of Chicago announced their intent to offer Duality startups resources and support to develop quantum software and explore ...