This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms.

Quantum mechanics, which is the study of the behavior of sub-atomic particles, provides a way to enhance the use of machine ... the neural network architecture used in deep learning on classical ...

An interdisciplinary team of researchers developed a machine learning tool to parse ... Neural Networks as an Interpretable Architecture for Image-like Quantum Matter Data," published June 23 ...

Quantum computing isn’t going to revolutionize AI anytime soon, according to a panel of experts in both fields. Different worlds: Yoshua Bengio, one of the fathers of deep learning, joined ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

Researchers at Los Alamos National Laboratory today announced a quantum machine learning “proof” they say shows that training a quantum neural network requires only a small amount of data, “(upending) ...

The firm has announced the development of a Quantum Technology-Based Random Access Memory Architecture ... QRAM is poised to advance quantum machine learning and quantum encryption applications ...