Learning high-accuracy error decoding for quantum processors - Nature A recurrent, transformer-based neural network, called AlphaQubit, learns high-accuracy error decoding to suppress the errors that occur in quantum systems, opening the prospect of using neural-network...

Really excited to share our (Google DeepMind and Google QuantumAI) new publication in @Nature, where we use neural networks to identify errors in quantum computers with state-of-the-art accuracy.
Paper: www.nature.com/articles/s41...
Blog: blog.google/technology/g...

Learning high-accuracy error decoding for quantum processors - Nature A recurrent, transformer-based neural network, called AlphaQubit, learns high-accuracy error decoding to suppress the errors that occur in quantum systems, opening the prospect of using neural-network...

Check out the paper and the blog post!
Paper: nature.com/articles/s41...
Blog: blog.google/technology/g...

Very fortunate to have been part of this amazing collaboration between @deep-mind.bsky.social and Google QuantumAI!

Learning high-accuracy error decoding for quantum processors - Nature A recurrent, transformer-based neural network, called AlphaQubit, learns high-accuracy error decoding to suppress the errors that occur in quantum systems, opening the prospect of using neural-network...

Beyond excited to introduce AlphaQubit, now published in
Nature!

AlphaQubit is a neural network for quantum error correction and achieves state-of-the-art accuracy on simulated and real-world data.