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Argon helps accelerate quantum error correction and algorithm design

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Google DeepMind says 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, nearly doubling inference throughput.

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Argon is helping accelerate progress across both quantum error correction and algorithm design. 🧮
https://x.com/benjaderberg/status/2110041693659554290

Ben Jaderberg@benjaderberg
First, we used Argon to translate an internal version of our quantum error correction decoder, AlphaQubit, into a single, highly optimized hardware “megakernel,” nearly doubling inference throughput.
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Source: Google DeepMind · x.comPublished · added here