Arne L. Grimsmo
@arnegrimsmo.bsky.social
Taking partial derivatives of quantum computers at AWS
of course that Cultivation works really well, so you get some very low logical error rates. I think you could still contemplate an architecture where you use erasure qubits in the cultivation patch, but not the rest of the quantum computer, so that the extra engineering cost is not too big.
April 7, 2025 at 9:06 PM
of course that Cultivation works really well, so you get some very low logical error rates. I think you could still contemplate an architecture where you use erasure qubits in the cultivation patch, but not the rest of the quantum computer, so that the extra engineering cost is not too big.
results though, @craiggidney.bsky.social-Shutty-Jones came out with Cultivation, so we had to redo all the analysis. With Cultivation you don't get that much of a boost by just improving the Injection anymore, so the cute observation that you just need 3 erasure qubits doesn't work. The upshot is
April 7, 2025 at 9:06 PM
results though, @craiggidney.bsky.social-Shutty-Jones came out with Cultivation, so we had to redo all the analysis. With Cultivation you don't get that much of a boost by just improving the Injection anymore, so the cute observation that you just need 3 erasure qubits doesn't work. The upshot is
How does one sign up to just listen? 🙂
January 23, 2025 at 5:12 PM
How does one sign up to just listen? 🙂
That’s awesome, thanks! I still wish my Discover feed was less pictures of space though.
January 18, 2025 at 3:57 PM
That’s awesome, thanks! I still wish my Discover feed was less pictures of space though.
the next decade, but that it might take another to get to "very useful." The pessimistic take is that none of technologies we think are most promising right now can scale to really big systems, in which case it may take a lot longer to get to "very useful."
January 9, 2025 at 3:16 PM
the next decade, but that it might take another to get to "very useful." The pessimistic take is that none of technologies we think are most promising right now can scale to really big systems, in which case it may take a lot longer to get to "very useful."