When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Quantum computing and machine learning convergence enable powerful new approaches for optimizing mobile edge computing (MEC) networks. This paper uses Lyapunov optimization theory to propose a novel ...

Quantum machine learning is among the most exciting potential applications of quantum computing. However, the vulnerability of quantum information to environmental noises and the consequent high cost ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning.

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has announced its research into the Synergic Quantum ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

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 ...

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 ...

Strategic initiative to accelerate practical quantum computing through cross-platform execution to reach fault-tolerant performance optimization ...

Quantum computing and artificial intelligence stand at the forefront of modern technological advancement, each representing a paradigm shift that can transform industries ranging from healthcare and ...