Google DeepMind says Argon speeds up quantum error correction and algorithm design

Google DeepMind says its tool Argon is helping speed up both quantum error correction and quantum algorithm design.

In a related post, Ben Jaderberg says the team used Argon to translate an internal version of the AlphaQubit decoder into a single optimized hardware megakernel, which he says nearly doubled inference throughput.

The report is a company claim from Google DeepMind's X account and related post; the reports do not include independent measurements or a description of Argon's design.