Quantum Network

Entanglement Is a Key Component of Quantum Computing and Unlocking Scaling Needed for Quantum Machine Learning

The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously believed an exponentially large training set would be required to train a quantum neural network, the quantum No-Free-Lunch theorem developed by Los Alamos National Laboratory shows that quantum entanglement eliminates this exponential overhead.

Read More »

Sensing, Repeating Data May Be Up-Ended by Argonne Quantum Research, Q-NEXT

Researchers around the world are exploring how the smallest bits of matter and energy, such as atoms, electrons and photons, can relay information by making essential use of their quantum properties. These unique properties are described by a branch of physics called quantum mechanics, which was originally devised to explain phenomena at the atomic and subatomic scales, but is now central to our understanding of all matter. At the U.S. Department of Energy’s (DOE) Argonne National Laboratory, quantum information science (QIS) is a burgeoning discipline that stands to revolutionize computing, science and communication.

Read More »

QUNNECT Announces Sale of World’s 1st Commercial Quantum Memory

Qunnect, INC., a Quantum Networking company, announces the sale of the world’s first commercial Quantum Memory to Brookhaven National Laboratory. Quantum Memories are critical components for enabling future quantum-secure networks, as they support distributed entanglement communication protocols, and serve as core components in quantum repeaters.

Read More »