A cryptography engineer's perspective on quantum computing timelines

https://words.filippo.io/crqc-timeline/

A Cryptography Engineer’s Perspective on Quantum Computing Timelines

The risk that cryptographically-relevant quantum computers materialize within the next few years is now high enough to be dispositive, unfortunately.

This is a good take, there's really not much to argue about.

>[...] the availability of HPKE hybrid recipients, which blocked on the CFRG, which took almost two years to select a stable label string for X-Wing (January 2024) with ML-KEM (August 2024), despite making precisely no changes to the designs. The IETF should have an internal post-mortem on this, but I doubt we’ll see one

My kingdom for a standards body that discusses and resolves process issues.

I think the anti-hybrid argument the article makes is clearly wrong. Even if CRQCs existed today, we still should be using hybrid algorithms because even once CRQCs exist, they will be slow, expensive, and power hungry for at least a decade. The hybrid algorithms at a minimum make the cost of any attack ~$1M, which is way better than half of the PQC algorithms that made it to the 3rd stage of the PQC competition (2 of them can be broken on a laptop)

Is it?

Your reasoning relies on this being true:

> [CRQCs] will be slow, expensive, and power hungry for at least a decade

How could you know that? What if it was 5 years? 1 year? 6 months?

I predict there will be an insane global pivot once Q-day arrives. No nation wants to invest billions in science fiction. Every nation wants to invest billions in a practical reality of being able to read everyone's secrets.

The absolute low end of cost of a QC is the cost of an MRI machine ~100k-400k (cost of cooling the computer to super low temps). Sure we expect QCs to get faster and cheaper over time, but putting 100% faith in the security of the PQC algorithms seems like a bad idea with no upside.
We can disagree on the tradeoff, but if you see no upside, you are missing the velocity cost of the specification work, the API design, and the implementation complexity. Plus the annoying but real social cost of all the bikeshedding and bickering.