Introducing quantum convolutional neural networks

Machine learning techniques have so far proved to be very promising for the analysis of data in several fields, with many potential applications. However, researchers have found that applying these methods to quantum physics ...

Machine learning tackles quantum error correction

(Phys.org)—Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design ...

Team develops method for neural net computing in water

Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors, but our brains have a different system. They rely on the manipulation of ions in liquid ...

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 ...

Helping drug-delivering particles squeeze through a syringe

Microparticles offer a promising way to deliver multiple doses of a drug or vaccine at once, because they can be designed to release their payload at specific intervals. However, the particles, which are about the size of ...

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