Modeling quantum spin liquids using machine learning

The properties of a complex and exotic state of a quantum material can be predicted using a machine learning method created by a RIKEN researcher and a collaborator. This advance could aid the development of future quantum ...

Study: Machine learning a useful tool for quantum control

In the everyday world, we can perform measurements with nearly unlimited precision. But in the quantum world—the realm of atoms, electrons, photons, and other tiny particles—this becomes much harder. Every measurement ...

Breakthrough proof clears path for quantum AI

Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as ...

Machine-learning technique used to pinpoint quantum errors

Researchers at the University of Sydney and quantum control startup Q-CTRL today announced a way to identify sources of error in quantum computers through machine learning, providing hardware developers the ability to pinpoint ...

Early endeavors on the path to reliable quantum machine learning

Anyone who collects mushrooms knows that it is better to keep the poisonous and the non-poisonous ones apart. In such "classification problems," which require distinguishing certain objects from one another and to assign ...

Solving 'barren plateaus' is the key to quantum machine learning

Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems. This challenge had been relatively unstudied—until ...

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