A model of artificial intelligence, after partial training on a quantum computer, gave correct answers where it previously ...

When running an AI model through a quantum computer, scientists have increased accuracy by only adding a relatively small number of parameters.

Quantum generative models provide inherently efficient sampling strategies and thus show promise for achieving an advantage using quantum hardware. In this work, we investigate the barriers to the ...

Quantum computing has recently emerged as a transformative technology. Yet, its promised advantages rely on efficiently translating quantum operations into viable physical realizations. Here we use ...

Negative-day attacks lie ahead when corporations begin making large-scale quantum computers available as a service, just as ...

This post is part 1 of a series. It is coauthored by Liane Gabora, Emmanuel Pothos, and Iana Bashmakova. There is a trend toward increased openness in science, and one aspect of this involves sharing ...

Application discovery, algorithms, error correction, resource estimation, hardware execution, and classical components are ...