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 ...

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

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 ...

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 future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

Lawrence Livermore National Laboratory (LLNL) has been selected to lead a project that will receive $4.1 million in funding ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

Quantum computing (QC) defies the conventional understanding of our world and is counterintuitive. Personally, this makes it fascinating and exciting to study. QC is built on two core principles of ...