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 ...

New method of analyzing networks reveals hidden patterns in data

A new way of measuring how relationships in a network change over time can reveal important details about the network, according to researchers at Penn State and the Korean Rural Economic Institute. For example, when applied ...

How fast is the universe expanding? The mystery endures

Scientists have known for decades that the universe is expanding, but research in the past few years has shaken up calculations on the speed of growth—raising tricky questions about theories of the cosmos.

Researchers advance noise cancelling for quantum computers

A team from Dartmouth College and MIT has designed and conducted the first lab test to successfully detect and characterize a class of complex, "non-Gaussian" noise processes that are routinely encountered in superconducting ...

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