Sunday, December 15, 2024

Quantum Computer Architecture Work in Japan

 A couple of weeks ago, I attended The First Fault Tolerant Quantum Architecture Kenkyuukai, held in Takamatsu, Shikoku, Japan. I came away very optimistic about the future of the field in Japan. There is a good cohort of talented, ambitious, (mostly) young researchers:

All but Shota and Takahiko were in Takamatsu and gave good talks. A selection of some of the recent architecture papers from this gang (most recent first, except ours last):

For more papers, see their respective Google Scholar profiles, linked above. Also, don't forget to look up the other collaborators (mostly physicists) I didn't name in the list at the top.

And the senior leadership, all with proper backgrounds in classical computer architecture:

There are also quite a few theoretical physicists besides just those linked to above who are keeping Japan on the quantum map. I'll do a separate posting about them sometime.

There is a serious shortcoming here: all of the above (including yours truly) are (or at least present as) men. Out of about fifty-five people in the room, exactly one is (or at least presents as) a woman, a Keio undergrad (from Satoh's lab, not mine). Without solving this problem, on top of the human rights issue, Japan is throwing away half its brainpower and an even larger fraction of its creativity (due to the homogeneity and groupthink of a cluster of men, all with similar backgrounds and skills), at a time when demographics show it can ill afford to.

Saturday, December 14, 2024

An Optical Interconnect for Modular Quantum Computers


 

Here's our latest paper! Our biggest effort of the year, or more correctly, two years of work supported by 20 years of learning and doing. There are "only" a dozen authors on this, but there are about 150 people in the Shota Nagayama Moonshot project doing supporting and related work.

This paper combines experimental demonstration of our network prototype (the portions in pink in the figure), insight into network topology (both the larger diagram here and some more complex diagrams in the paper), and an operation scheduling and performance estimation tool (not shown) to help us evaluate where we are and where we need to be.

Slightly paraphrasing the paper,

The current focus of modular quantum system research is the link and connection layers. This is a necessary first step towards building more complex systems. However, in order to bring us closer to scalable and robust distributed quantum systems, there is a pressing need for deeper understanding of higher-layer concepts such as switching network architectures, and their impact on the performance when executing large-scale quantum computation. The time for such studies has come.

We have dubbed our interconnect "Q-Fly", following on from butterfly, k-ary n-fly, Dragonfly, Dragonfly+, Slimfly, Polarfly, etc. Designing this was a deeper task than the final diagram reveals, and involves balancing the number of Bell state analyzers and the number of inter-group connections to accommodate both expected traffic patterns and link fault tolerance while maintaining minimal-length paths.

Of course one of the questions is how this Dragonfly-inspired network compares to a fat tree. In the technology we are working with, node-to-node connections are created by routing one photon from each node to a shared Bell State Analyzer (BSA).  It turns out that effective placement of the BSAs in the network is critical, and that doing a good job of that in a fat tree is harder than for our Q-Fly. The physical construction to allow some traffic to avoid going through the root of the tree is complex and involves inefficient pools of BSAs distributed awkwardly in the network. The Q-Fly design is much cleaner, and minimizes the number of switches each photon passes through even in large networks. We have to worry about every switch, since we can't afford to lose photons any more often than absolutely necessary. This principle led us to the Q-Fly mantra,

Every decibel matters.

Of course I'm riding high on finishing (well, almost -- we still have to get the paper through peer review) this paper, but as of right now I'd rate this the most important paper of my career to date.

Below is one of the early sketches on the whiteboard.






Friday, December 13, 2024

The Quantum Computing Book From the Future

I just received my copy of this book from the future. How do I know it's from the future? It's copyright 2025!
We will catch up to the book and join it in 2025 in just a few weeks, but even once we do, an important truth will remain: this book is very nearly perfect. (At least, as far as I can tell after spending only an hour with it.)
The level of explanation is Just Right. Lots of intuition and basic descriptions of equipment, supported by the right number and level of equations.
Majify, Wilson and Laflamme, Building Quantum Computers: A Practical Introduction is exactly the book I have been looking for. It covers, in up-to-date but not excessively detailed fashion, the important basic technologies of NMR, linear optical, ion trap and superconducting quantum systems. At first I wondered why NMR, which no one is really using these days, but it gives them a great pedagogical opportunity to explain nuclear spin, Larmor precession, RF control pulses and techniques for suppressing errors at the physical level, so it works.
I said it's almost perfect; there are a couple of things I wish it had or had more of. It doesn't cover quantum dots or neutral atoms, both technologies of long standing that had not shown as much progress as the others over the last decade until about the last two years, where they have shown important advances. Even for a book from the future, those advances are probably too new for the authors to have had time to create full chapters on them. Oh, and color centers such as nitrogen vacancy in diamond (NV diamond), but those are currently being used more for communication than computation. Also, since this is a textbook for a course of limited duration, I'm sure they had to make hard choices about what to include and what to defer to later study. And while the book has some nice sketches of hardware systems and a few photos, unfortunately the black and white reproductions aren't great, many of the figures don't indicate scale, and most importantly would love to have twice as many of them. But all of that is easily remedied by showing additional photos and diagrams in class.

In short, the authors have knocked this out of the park. As far as I am concerned, as long as availability is reasonable, this book is IT for explaining quantum computing hardware until it becomes unusably outdated -- something that is hopefully in the distant future, as befits a book from the future itself.