Simon, Marcel,
A few points that might be useful to the list:
On Simon's question about independent review — the paper uses a zero-knowledge proof so the circuit claims are cryptographically verifiable without access to the circuits themselves. Which is the responsible disclosure approach. Besides it being responsible, it's arguably stronger form of verification than traditional peer review (for this specific type of claim).
The author list (Babbush, Gidney, Zalcman, Neven from Google, plus Boneh from Stanford and Drake from the Ethereum Foundation) is notable. Craig Gidney is the same researcher behind the landmark RSA-2048 resource estimates that Marcel referenced.
Marcel is right that the results are consistent with the trajectory. The Google paper's specific achievement is compressing the spacetime volume for ECDLP-256 by roughly 10x. Prior work forced a trade-off: Chevignard et al. (EUROCRYPT 2026) (
https://eprint.iacr.org/2026/280) achieved ~1,100 logical qubits but required over 10^11 Toffoli gates; Litinski (2023) needed (only) ~200 million gates but needed ~2,500 qubits. Google is in most practical middle 1,200–1,450 logical qubits and 70–90 million Toffoli gates.
If we are talking about papers over the last few days, you should also check the Oratomic/Caltech/UC Berkeley paper (
https://arxiv.org/abs/2603.28627) that dropped the same day as Google's, claiming Shor's algorithm can run on as few as 10,000 neutral atom qubits.
Lots of caveats on this latest paper, and all others, but still overall a huge resource estimation reduction in three papers over last three weeks. But that's just theory on paper. The engineering gap between what any of these papers assume and what has actually been demonstrated in hardware is huge. E.g. the best demonstrated logical circuit depth on any platform is roughly 10,000 operations; breaking RSA-2048 requires 6.5 billion. That means that on this one metric alone we need to improve 650,000x to get to CRQC (even with these latest optimized algorithms).
I've published a detailed scorecard mapping these resource estimates against demonstrated hardware and also maintain an interactive tool where you can plug in your own assumptions about growth rates. Happy to share links if useful.
Best,
Marin