hckrnws
2025 Turing award given for quantum information science
by srvmshr
I don't want to take anything away from Bennett and Brassard, but I'd like someone to spare a word for poor Stephen Wiesner, who invented the earliest quantum information-distribution protocols as far back as the 1960s and published them before Bennett and Brassard. He also invented Oblivious Transfer (OT) which is required for multi-party computation -- although his was a quantum protocol that demonstrated some of the ideas behind QKD, not the classical protocol we call OT today [1].* Weisner was an inspiration for Bennett and Brassard, who then realized more useful systems.
While obviously this takes nothing away from BB's many later contributions (and they have extensively credited him), it's just a reminder of the randomness that goes with scientific credit. Since my PhD thesis was on OT, I like to remind people of Wiesner. He deserves a lot more credit than he gets!
* I suppose if you're a real theoretician, since OT implies MPC and MPC implies all cryptography, then perhaps Wiesner's OT implies everything that BB did subsequently. I'm not sure any of that is true (and I've since checked with an LLM and there are some no-go theorems from the 1990s that block it, so that's super interesting.)
Actually you can't compose quantum crypto protocols like you can classical ones - the composed protocol needs a new security analysis. Entanglement across protocols often kills the composition!
Interestingly (to me!) it took a while in the 90’s/early 00’s for the community to realise that there are distinct questions:
Question A: Does there exist a set of target states and measurements that implement the task
Question B: Can mistrustful parties find a communication protocol that securely (from their perspective) create/implement those states/measurments.
An example where the answer to A is “no” is fully secure oblivious transfer. There were a bunch of misguided papers trying to find communication protocols for OT, but they were doomed from the start!
An example where the answer to A is “yes" but to B is “no” is strong coin flipping. And an example where the answer to both is “yes” is weak coin flipping. (See Carlos Mochon’s magnus opus arxiv 0711.4114 for the coin flipping examples).
I first articulated the distinction between A and B quant-ph/0202143 but left the proof about OT and Question A as an exercise to the reader! Roger Colbeck in arxiv 0708.2843 provided a simple proof and elucidated the whole situation a lot I think.
Don't forget about William Wootters, who also did significant work in the 1980s on quantum information. Most notably with Zurek, he proved the quantum no-cloning theorem in 1982. This result is at the same foundational level as energy conservation or constancy of light.
He was also on the Teleportation discovery in 1993.
Asher Peres told me that Bill Wootters should be given 99% of the credit for the teleportation discovery (and this is in the context that most of us around at the time presumed the majority of the credit should go to Peres and Wootters who had already been discussing publicly very similar stuff).
Interesting to hear, but also not surprising. His thinking was so far ahead of time.
> and I've since checked with an LLM
but did you recheck it yourself, or are you trusting unreliable narrator?
I only checked the abstracts, and they seem consistent. Good LLMs (Claude Opus, ChatGPT Pro) still get things wrong regularly, but lately I've noticed these are mainly the deep details, not easy things like "there is a result that claims X."
If you enjoy reading about undervalued scientists, check out the life of Ernst Stückelberg, who missed out on 4 to 5 Nobel prizes because he mostly published in unknown journals. https://blogg.perostborn.com/2023/03/22/hes-not-so-easily-st...
Wiesner was quite a character but he died a few years ago, so wouldn't have been eligible for this year's award.
As a young grad student, I remember going to a talk by Bennett where he explained how a Quantum Computer allows manipulation in a 2^N dimensional hilbert space, while the outputs measurements give you only N bits of information. The trick is to somehow encode the result in the final N bits.
I felt this was a much better layman explanation of what a quantum computer does than simply saying a quantum computer runs all possible paths in parallel.
> I felt this was a much better layman explanation of what a quantum computer does than simply saying a quantum computer runs all possible paths in parallel.
Relevant concerning your point:
> "The Talk"
That comic is great I understand qubits a bit better now: it has 4 degrees of freedom but can be mapped onto the 2d surface of a sphere because of normalization (circle rule) and global phase symmetry which each take away one of the four DOF
I need a longer think on the interference/computation connection though
Thanks for this! I guess i need to read up on Hilbert Space.
...and Shor's Algorithm
Don't let the terminology intimidate you. The interesting ideas in quantum computing are far more dependent upon a foundation in linear algebra rather than a foundation in mathematical analysis.
When I started out, I was under the assumption that I had to understand at least the undergraduate real analysis curriculum before I could grasp quantum algorithms. In reality, for the main QC algorithms you see discussed, you don't need to understand completeness; you can just treat a Hilbert space as a finite-dimensional vector space with a complex inner product.
For those unfamiliar with said concepts from linear algebra, there is a playlist [1] often recommended here which discusses them thoroughly.
[1] https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2x...
Yeah all the names and terminology really do make it seem harder than it is. Took me a long time and I’m still learning. 2d Hilbert space is same as 2d Euclidean space but each dimension has 2 degrees of freedom (real + imaginary). Might even think of it as 4d space, for vector imagining purposes, but that would probably be wrong and someone would call you out
> ...and Shor's Algorithm
Better start with Simon's algorithm (solving Simon's problem) [0]; it already contains a lot of ideas that you need to understand Shor's algorithm, while not having a lot of technicalities. Then progress to Shor's algorithm, and then to Kitaev's algorithm [1] (link from [2]). The latter solves the Abelian stabilizer problem - this problem contains the more abstract mathematical essence of a lot of quantum algorithms.
[0] https://en.wikipedia.org/wiki/Simon%27s_problem
[1] https://arxiv.org/abs/quant-ph/9511026
[2] https://en.wikipedia.org/wiki/Hidden_subgroup_problem#Instan...
* From the announcement [0]:
ACM has named Charles H. Bennett and Gilles Brassard as the recipients of the 2025 ACM A.M. Turing Award for their essential role in establishing the foundations of quantum information science and transforming secure communication and computing.
* An accessible news excerpt via CNN science [1]
Years before emails, internet banking, cloud servers and cryptocurrency wallets, two scientists devised a way to keep secrets perfectly safe and indecipherable to eavesdropping outsiders.
Their 1984 work depended on the hidden, counterintuitive world of quantum physics, which governs the way the world works at the smallest, subatomic scale, rather than complex but theoretically breakable mathematical codes to secure data.
The insights of Charles Bennett, an American physicist who is a fellow at IBM Research, and Gilles Brassard, a Canadian computer scientist and professor at the University of Montreal, have since transformed cryptography and computing. The pair received the A.M. Turing Award on Wednesday for their groundbreaking work on quantum key cryptography.
[0] https://www.acm.org/media-center/2026/march/turing-award-202...
[1] https://edition.cnn.com/2026/03/18/science/quantum-key-crypt...
> Bennett and Brassard, with Ethan Bernstein and Umesh Vazirani, showed that in black-box setting, quantum computers would require big-omega(sqrt(n)) queries to search n entries, matching Grover's algorithm. For some reason, the popular press rarely covers these results that limit the power of quantum computing.
This is mentioned almost as a footnote, but to (layman) me seems much more important than QKD, especially from a comp sci perspective instead of a physics perspective.
QKD can be sold today.
The quantum computers are not quite large enough to search at an `n` such that O(n)` is not viable but `O(sqrt(n))` is, that's where there's money to be made, especially if viability is defined by small time horizons. So it's a footnote for the future.
> QKD can be sold today.
It can, but it isn't largely because the classical solutions solve the problem better and you usually have to resort to classical solutions to solve MITM anyways afaik. However my point is less about practicality and more QKD seems more like a physics or engineering thing and not a computer science thing.
After all, this is supposed to be a computer science prize not a make money prize, so which is more sellable should be besides the point.
Worth noting that this is a bound on arbitrary search, but there exist some problems with structure (e.g. integer factorization) for which quantum algorithms are exponentially faster than known classical algorithms (a problem believed to be in NP and BQP but not P).
The math might be beautiful, but I'm very skeptical - practical - quantum computers will ever deliver their promise.
[deleted]
Forever is a long time, but I agree people that assert reality is the model are almost always incorrect eventually.
There is some interesting work being done, but it will never match the excessive hype. =3
"The Genius of Computing with Light"
I would say optical computing will be practical well before QC is.
Time will tell.
Not sure what is going on in QC world; With this ACM prize it has become even more murky.
As Sabine Hossenfelder (Theoretical Physicist) points out, companies to do with QC are seeing a surge in investments and marketing. It is as if somebody knows something that the "common public" doesn't - https://www.youtube.com/watch?v=gBTS7JZTyZY
I don't know enough about the science/technology to form an opinion but have recently started down the path of trying to understand it - https://news.ycombinator.com/item?id=46599807
> It is as if somebody knows something that the "common public" doesn't
oooorrr - and hear me out - investments are inherently hype-based and irrational and there is too much money flying around to do actual smart decisions
Nope.
Quantum Computing (QC) is unlike previous technologies which were all mostly "logical structures" (i.e. the underlying Physics/Technologies were well-known). The viability of both the core Physics itself and its realization through Technology for QC are questioned by some Physicists/Technologists themselves. But in 2024/2025 many Govts. and Companies both have started investing heavily in QC. Moreover the advanced countries have implemented export controls on QC technology prohibiting export of QC computers above 34-qubits.
And now the ACM prize for something done long ago in quantum information.
Finally note that QC algorithms can be simulated (for small size qubits) on conventional computers and the current AI technologies may also play a part here i.e. implement QC algorithms on the "Cloud supercomputer" and using AI technologies.
The logical inference is that there has been some technological (one or more) breakthrough in the realization of the QC qubits technologies, QC algorithms running efficiently on the cloud, AI usage for QC etc. Nothing else explains all of the above facts.
See also: The Case Against Quantum Computing by Mikhail Dyakonov (Professor of Physics) - https://spectrum.ieee.org/the-case-against-quantum-computing
> Quantum Computing (QC) is unlike previous technologies
aaand you entered the "hype and irrational" territory. I dare you to reread your own comment, it is funny
right now QC is 5 orders of magnitude away from practical systems - there's NO profit to invest for. It's all research that is being hyped and overpromised because there's not enough money in that sector and because established players (like google) don't want to lose their face
viability of core physics does not imply immediate creation of product. I'd point to fusion, but that's also currently getting over-hyped 15-20 years too early
governments are only investing the same way as into particle accelerators - in form of research grants
simulation of QC is both extremely trivial (in "exponentially-slower" way) and existentially impossible (the whole sector would not exist if it was actually possible to use good old normal CPUs fast enough). Bringing in "AI technologies" only shows you as a gullible idiot that still parrots ai bubble without understanding exact details
If there is a breakthrough - it is secret government information, and it would not be available to non-government companies, especially those you can invest into. The moment such breakthroughs reach the market, knowledge of the very existence spreads - and yet all current known progress is dull.
The only evidence worth anything out of what you brought up is the export controls - and those have been extremely pre-emptive in preparation for geopolitics and far future tech. Error-correction barely started to be useful at 100 cubits, so 34 makes no sense other than to minimize brain drain with base tech
> aaand you entered the "hype and irrational" territory. I dare you to reread your own comment, it is funny
You have not understood the first thing about what i had pointed out.
> right now QC is 5 orders of magnitude away from practical systems - there's NO profit to invest for. It's all research that is being hyped and overpromised because there's not enough money in that sector and because established players (like google) don't want to lose their face
While there has been hype, in the last couple of years things seem to have changed and now culminated in the awarding of the ACM Turing Award prize. Do you know anything about the Physics/Mathematics behind qubits (eg. probablities/superposition/phase/noise etc.) and/or how that has been realized via technologies (eg. superconducting/photonics/trapped-ions etc.)? People are looking at "hybrid" quantum computers i.e. conventional+quantum (eg. IBM, Fujitsu), shuttling qubits on silicon (eg. Hitachi) which allows existing foundry technology to be used for QC. This is huge.
> viability of core physics does not imply immediate creation of product. I'd point to fusion, but that's also currently getting over-hyped 15-20 years too early
Non-sequiteur.
> governments are only investing the same way as into particle accelerators - in form of research grants
No, Govts. are actively funding startups in this area and including technology research/transfers in their Free Trade Agreements with other govts.
> simulation of QC is both extremely trivial (in "exponentially-slower" way) and existentially impossible (the whole sector would not exist if it was actually possible to use good old normal CPUs fast enough).
Simulation of QC is not "extremely trivial" but requires HPC technology. Datacenter/Cloud technologies are also utilized here. Generally only around 30-50 qubits have been simulated with 50+ qubits being exponentially prohibitive in terms of compute power/memory.
>Bringing in "AI technologies" only shows you as a gullible idiot that still parrots ai bubble without understanding exact details
To use your own language; this right here shows that you are just a clueless idiot about this domain. AI is a tool applied to various domains eg. AlphaFold for protein structures in Biology which solved an almost intractable problem. People are doing the same with QC+AI. There are a bunch of papers on this; for your edification start with Quantum Computing and Artificial Intelligence: Status and Perspectives - https://arxiv.org/abs/2505.23860
> If there is a breakthrough - it is secret government information, and it would not be available to non-government companies, especially those you can invest into. The moment such breakthroughs reach the market, knowledge of the very existence spreads - and yet all current known progress is dull.
This demonstrates your gullibility. Since one of the best studied usecases for QC is cryptography, if there has been a breakthrough in some lab (govt/academia/company all of whom have secrets), the powers-that-be would not want it to be widespread for security (mainly) reasons. But hints might have been given and investments encouraged. Almost all QC companies have a govt. tie-up and cryptographic technologies have already been subject to export controls from the very beginning. Another scenario is defense applications. There are plenty more but these two are the main ones.
> The only evidence worth anything out of what you brought up is the export controls - and those have been extremely pre-emptive in preparation for geopolitics and far future tech. Error-correction barely started to be useful at 100 cubits, so 34 makes no sense other than to minimize brain drain with base tech
That is the obvious superficial take. Given what i have written above, what if semiconductor technology i.e. the "hybrid" QC+Conventional allows one to simulate 100+ qubits easily now? What if there has been some breakthrough's by using AI on QC algorithms both existing and new ones? Have any formerly intractable problems in Physics/Chemistry/Biology/Mathematics been made tractable now due to AI usage? How many of these can be implemented on a QC? Etc. Etc.
To summarize; you have to look at the whole complex picture before drawing conclusions. Merely parroting trivialities like "hype" is meaningless.
Commercialization can bring in speculators and hype. And, I'd argue that speculation is a necessary for accelerating market development. Commercialization brings with it unique forcing functions that don't exist in academic settings, and this historically leads to acceleration of functional products. The first step is building a quantum computer to learn how to build a quantum computer. That step is done, while research continues in many areas, the commercialization challenges are largely engineering in nature.
I've only seen 34 qubit simulators (eg AWS SV1). My understanding is that 34 qubit uses 512GB of RAM, and each additional qubit doubles the RAM requirement. So, 50 qubit simulated would require 16.8M GB of RAM.
100 logical qubits seems to be the minimal threshold for interesting/useful quantum computing, albeit with very limited use cases. Classical still beats most. Quantinuum will hit that number in 2027. And, IonQ (often cited as being a hype-machine) expected to have 800 logical qubits in 2027.
The industry is moving out of the NISQ Era (noisy-intermediate-scale-quantum) and into the Fault-Tolerant QC (FTQC) era. NISQ is experimental. FTQC is commercial (ie reliable, repeatable).
Nice, an informative meaningful comment. From your userid; would i be correct in deducing that you are affiliated with QuBOBS Project? - https://qubobs.irif.fr/portfolio/
You are certainly right that commercialization (and speculation does play an important role here) serves as a forcing function to accelerate development of products. But this needs to be done somewhat in-sync-with/a-little-ahead-of the actual science and engineering. When the subject is inherently difficult to understand (as is the case with QC) it can very easily get out of hand and become just snake-oil/bullshit and exploited by hustlers/grifters/charlatans.
Do you have any links to more information on the points that you make above that you can share? Specifically on hybrid quantum-classical systems and silicon-based shuttling-qubits which can use current foundry technology? To me, this seems to be the future since both the scaling and availability are taken care of.
As regards scaling of qubits, Caltech recently achieved 6100(!) qubit-array - https://www.caltech.edu/about/news/caltech-team-sets-record-...
Wikipedia also has a list of quantum processors and their specs - https://en.wikipedia.org/wiki/List_of_quantum_processors
Thank you :). I'm not affiliated with Qubob project, it's just a name I picked.
QC has had its share of hype cycles. Businesses need to have a vision (which is where hype seeps in), and must be honest about what's possible today.
I am building quop.ai, a service which makes quantum computing accessible to technical and non-technical folks who don't have degrees in quantum physics.
I am not super familiar with the silicon spin, but Qutech is making progress: https://qutech.nl/2026/02/12/rolling-out-the-carpet-for-spin....
Oxford Ionics (acquired by IonQ) has a CMOS trapped ion approach: https://www.oxionics.com/blogs/unveiling-oxford-ionics-devel...
Intel is also involved in silicon spin / quantum dots with their Tunnel Falls milestone: https://quantumcomputingreport.com/argonne-national-laborato...
CalTech work is super interesting! Neutral Atoms look to be a compelling modality. QuEra and Pasqal are commercial players worth looking into.
Thanks for the pointers. I had seen them before except for the qutech one. I firmly believe the silicon approach to qubits is the way to go; but we will see how the market (and technology viability) settles everything. These are exciting times for hard Physics.
Also had a look at your quop.ai; seems pretty interesting though i need to explore it a bit more.
You might want to think about posting quop.ai to HN and get some feedback ;-)
Exciting times indeed! Will be fun to see how this all plays out.
Thanks for taking a look at Quop. If you explore it more, I'd be curious what you think as someone who follows the hardware side closely. I'll post something soon.
Also, there's a CalTech affiliated startup called Oratomic Inc that is building a Rydberg system. I think it's the same team that demonstrated 6100 qubits. And, I hear Preskill is an advisor.
Check out Eric weinsteins latest theory about how frontier physics has moved “dark” (with a grain of salt, some of the other things he says might tempt you to discount him completely)
That's 2 Turing award for the Université de Montréal in 6 years. Sadly, I never had those 2 teachers during my years there!
I did see Gilles' lunch talks though, it was really insightful!
[deleted]
Well deserved and much needed recognition in quantum key cryptography, for once not a single mention of "AI" anywhere.
Congratulations to Charles Bennett and Gilles Brassard.
Really curious, not a critique: apart from the idea of the possibility of intrusion detection due to the quantum nature of the communication link, what is special about the protocol that is mentioned?
Coincidentally, the same people also recently received the Science Fiction Award 2025!
Source?
I suspect the parent considers quantum computing science fiction.
A good opportunity to repost this: https://eprint.iacr.org/2025/1237.pdf
An opposite standpoint: Why it's so much harder to factor 21 on a quantum computer than 15: https://algassert.com/post/2500
[dead]
[flagged]
[flagged]