Robin Kothari

161 posts

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Robin Kothari

Robin Kothari

@RobinKothari

Theoretical computer scientist working on quantum algorithms and complexity @GoogleQuantumAI. Previously @MSFTQuantum, @MIT, @UWaterloo, @iitbombay.

Katılım Kasım 2009
85 Takip Edilen2K Takipçiler
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Dripto Debroy
Dripto Debroy@DriptoDebroy·
Registration is now open for QEC26, to be held this June in sunny Santa Barbara, CA! see the registration page at qec-conference.org for a link. Also, the deadline for submissions is next Friday. Make sure to get those in and spread the word to friends and collaborators!
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Robin Kothari
Robin Kothari@RobinKothari·
Congrats to Matt Kovacs-Deak, Daochen Wang, and (undergraduate student!) Rain Zimin Yang on resolving the 30+ year old conjecture (by Lance Fortnow) in query complexity on rational degree vs. degree. What's more, the proof is like ~2 pages if you know the standard tools!
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Robin Kothari
Robin Kothari@RobinKothari·
Are you a computer scientist and don't know what an OTOC is, but want to understand the problem solved in the @Nature paper by @GoogleQuantumAI? We wrote a 2-page note that explains the motivation and presents a simplified version of the problem for arbitrary input size.
Robin Kothari tweet media
Google Quantum AI@GoogleQuantumAI

Today in @Nature, we published a breakthrough demonstration of verifiable quantum advantage using a measurement known as out-of-time-order correlator (OTOC), or Quantum Echoes. Performed on our Willow chip, it paves a path toward real-world applications → goo.gle/3Jqaqst

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Robin Kothari
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: google.com/about/careers/…
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Robin Kothari
Robin Kothari@RobinKothari·
Fresh on the arXiv: @BooleanAnalysis, Kewen Wu, and I present new classical algorithms for the Short Integer Solution problem (under infinity norm) that outperform the elegant Chen-Liu-Zhandry quantum algorithm, showing that there is no exponential quantum speed up anymore.
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Robin Kothari
Robin Kothari@RobinKothari·
New paper on the arXiv with David Gosset and Google student researcher Chenyi Zhang on how to implement an n-qubit Toffoli gate (approximately) with exponentially fewer T gates than previously thought.
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Robin Kothari retweetledi
Siddhartha Jain
Siddhartha Jain@sidjai_·
Hermite polynomials are ubiquitous in physics, signal analysis, statistics, and beyond. Our new work gives an algorithm to convert between the computational and discretized Hermite bases efficiently.
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Robin Kothari
Robin Kothari@RobinKothari·
This is very nice progress on a question that remains tantalizingly open. It was great having you as a student researcher on the team!
Norah Tan@NorahTan1

This summer as a Student Researcher at @GoogleQuantumAI, I studied a problem that's been on my mind since I first learned quantum computing: unitary synthesis. In this work, I lower the asymptotic T-count for decomposing any n-qubit unitary, improving the best bound since 2018.

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Robin Kothari
Robin Kothari@RobinKothari·
The QIP 2026 call for papers is out! QIP 2026 will be held in Riga, Latvia from January 24–30, 2026. See you there!
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Google Quantum AI
Google Quantum AI@GoogleQuantumAI·
Introducing Shadow Hamiltonian Simulation, a breakthrough in quantum simulation for the efficient study of systems like free bosons and free fermions that are exponentially large, providing exponential quantum speedups. Read the full research → goo.gle/4hTMby0
Google Quantum AI tweet mediaGoogle Quantum AI tweet media
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Google Quantum AI
Google Quantum AI@GoogleQuantumAI·
Researchers from our team and @CarnegieMellon just published in PRX on a new family of quantum algorithms that provide a quartic speedup for a broad class of planted inference problems that may have applications in cryptography and learning. Read more ↓ goo.gle/4dL8EwJ
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Robin Kothari
Robin Kothari@RobinKothari·
If you’re concerned about extinction risk due to AI, I recommend pre-ordering this book and sharing it with your friends. I haven’t read the book yet, but I’ve read many of Eliezer’s writings and I’m sure this will be a great book!
Eliezer Yudkowsky ⏹️@ESYudkowsky

Nate Soares and I are publishing a traditional book: _If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All_. Coming in Sep 2025. You should probably read it! Given that, we'd like you to preorder it! Nowish!

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