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In our new paper on arXiv today, @CraigGidney and I explain the techniques we used to make PyMatching 100x-1000x faster: https://t.co/yI6qYExb8t
Our sparse blossom algorithm is a variant of the blossom algorithm that directly solves the decoding problem relevant to QEC. 1/
Check out Koala 🐨: a new chatbot from BAIR researchers fine-tuned on dialogue that approaches ChatGPT quality!
Work led by @haoliuhl@Eric_Wallace_ @ArnavGudibande and Xinyang Geng
Blog: https://t.co/fnfWWR3f9t
Demo: https://t.co/6A9XOPRY4O
My favorite tidbit from today's NQIAC meeting...
Ritter: The space program generated lots of enthusiasm for STEM. It was tangible. It's harder for people to grasp quantum.
@preskill: We need a Hilbert space program.
Tiny changes to the order in which you update positions x and velocities v can be the difference between your simulation blowing up or dying down.
But for many systems, *symplectic* integrators guarantee energy is preserved forever.
Full lecture here: https://t.co/cIf4dwtgXg
How a book written in 1910 could teach you calculus better than several books of today
[Calculus Made Easy, by Silvanus P. Thompson, 1910 - full text pdf: https://t.co/W4gspJGhHK or with the table of contents: https://t.co/55dkZzX4XV]
The Transformer is a magnificient neural network architecture because it is a general-purpose differentiable computer. It is simultaneously:
1) expressive (in the forward pass)
2) optimizable (via backpropagation+gradient descent)
3) efficient (high parallelism compute graph)
Does anyone at @iqoqivienna know what happened to the 'official' list of Open Quantum Problems at https://t.co/4pD8YO8TPZ (archived at https://t.co/bIPrMcXQsA)? The website has been dead for months. It seems that all previous iterations of the list on other sites are gone too.