Amira Abbas

Trying to answer big questions with small devices. Quantum Research Scientist @Google Quantum AI. South African 🇿🇦

[Robin Kothari @RobinKothari]

Are you a PhD student in quantum computing and interested in working with our team in 2026 as a student researcher (i.e., an internship that's ~3 months and in-person at our office)? If so, apply here:
https://t.co/tlhv8Yp0xt

[Demis Hassabis @demishassabis]

pretty stacked table! It was a fun dinner conversation earlier this year discussing all things Quantum, AI, Maths & Physics. 😀

[Floor Eijkelboom @FEijkelboom]

Generative models excel at images and text, but tabular data remains a challenge.🤔

We introduce 🐈 TabbyFlow 🐈 - a variational flow matching approach with general exponential families for mixed-type tables.

Work with @AndresGuzco & @jwvdm accepted to #ICML2025 🎉

👇 1/n

[Laura Lewis @Laura_Lewis_1]

With @JarrodMcclean and Dar Gilboa, we prove a new quantum advantage for learning periodic neurons in the quantum statistical query model!
https://t.co/SeTpkJEtJy

The hardness of this problem was studied long before this work by classical learning theorists. 🔎

[Tom Gur @TomGur]

Excited to share this new paper with Jack O'Connor and @_nickspoon! We improve our ZK-PCP construction to cover all of NEXP (with exponential proofs), scale it to NP with polynomial proofs, and obtain O(1)-locality via composition--yielding a ZK analogue of the PCP theorem. 1/3

[Dulwich Quantum Computing @DulwichQuantum]

"The development of quantum algorithms is a job for machines — not for humans"
Try telling this to Ronald de Wolf!
https://t.co/QRSsu1UkSE

[Dulwich Quantum Computing @DulwichQuantum]

In case you don't know who Ronald de Wolf is, you should check out his quantum computing lecture notes.
https://t.co/5lE4K2gTEB

[EPFL Research Office @EPFL_ReO]

📢 The @EPFL_AI_Center Postdoctoral Fellowships call is now open!
💡Are you a postdoctoral researcher interested in collaborative and interdisciplinary research on #AI topics?
✏️Apply now until 29 November 2024 (17:00 CET).
👉More info: https://t.co/ehntfMvXUg

[Ludovico Lami @LamiLudovico]

Today I'm happy to share with you the solution of a problem that has been bothering me for a while, the generalised quantum Stein's lemma. 1/
https://t.co/wgiTn4af0h

[Tom Gur @TomGur]

I was asked by the organisers of STOC to share that Avi Wigderson is giving his Turing Lecture today (Thursday, June 27) at 6:00pm PT. Exciting!

The link to livestreaming can be found here: https://t.co/969uFA4xKk

[Jens Eisert @jenseisert]

That is a lot of fun.

[Robin Kothari @RobinKothari]

New paper on the arXiv with @robbieking1000, David Gosset, and Ryan Babbush: "Triply efficient shadow tomography".
https://t.co/ys223sgJGQ
https://t.co/eg1dVNIfvW

[Amira Abbas @AmiraMorphism]

@RobinKothari @robbieking1000 Ah cool! 🤩 nice work!

[Jarrod McClean @JarrodMcclean]

We should celebrate the courage to have some echos of the fun we have doing science in our work and not let bureaucrats paint everything we do in an insufferable shade of gray for the sake of "formality".

[Tom Gur @TomGur]

Avi Wigderson gave a truly inspiring talk yesterday at @Cambridge_CL about the value of errors in proofs. The video will be posted shortly on the Cambridge Algorithms and Complexity Workshop webpage.

https://t.co/xw29aOMlGW

[Anthony Leverrier @letonyo]

"This gives a polynomial time quantum algorithm for solving LWE."
Is this real?

[Ryan O'Donnell @BooleanAnalysis]

For the Tim Gowers 60th Workshop (https://t.co/7C5c33hUHD) I gave a talk (https://t.co/8yCRr5GwVW) about reversible circuits, cryptography, derandomization, expanders, quantum, black holes...& do check out the other 23 talks on combinatorics, probability, analysis, complexity...!

[Wild Felid Research and Management Association @WildFelidAssoc]

Scholarships for work on wildlife felid of the western hemisphere available! Due date April 15!
https://t.co/kGjxl0jbi3

[Jonathan Oppenheim @postquantum]

Umesh Vazarani kicks off the "Quantum Complexity: Quantum PCP, Area Laws, and Quantum Gravity" workshop at the @SimonsInstitute. Talks will be recorded and available at https://t.co/b4TXGdMkRK. I'll be around all week, come say hi!

[Jim Fan @DrJimFan]

We live in such strange times. Apple, a company famous for its secrecy, published a paper with staggering amount of details on their multimodal foundation model. Those who are supposed to be open are now wayyy less than Apple.

MM1 is a treasure trove of analysis. They discuss lots of architecture designs and even disclose that they train on GPT-4V-generated data. They provide exact scaling law coefficients (to 4 significant figures), MoE settings, and even optimal learning rate functions.

I have not seen this level of details from a big tech's whitepaper for a very, very long time. Apple's so back!