Agustin Di Paolo

Research Scientist @GoogleQuantumAI. Postdoc @oliver_mit. Ph.D. @circuitqed. I focus on the engineering of superconducting quantum circuits. 🇦🇷.

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Physics to John Clarke, Michel H. Devoret and John M. Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.”

[The Nobel Prize @NobelPrize]

This year’s physics laureate Michel H. Devoret was born in 1953 in Paris, France. He obtained his PhD in 1982 from Paris-Sud University, France.

He is currently a professor at Yale University, New Haven, CT and at the UC Santa Barbara, USA.

https://t.co/v2imCsnxbL

[Demis Hassabis @demishassabis]

Huge congrats to Michel Devoret for the 2025 Nobel Prize in Physics, and to Hartmut Neven & all our colleagues at the Google Quantum AI team, proud to be collaborating with them. This is the third Nobel associated with work done at Alphabet / Google in 2 years - not bad! 🚀🔥

[Sundar Pichai @sundarpichai]

Congrats to Michel Devoret, John Martinis, and John Clarke on the Nobel Prize in Physics. 🔬🥼 Michel is chief scientist of hardware at our Quantum AI lab and John Martinis led the hardware team for many years.

Their pioneering work in quantum mechanics in the 1980s made recent breakthroughs possible, and paved the way for error-corrected quantum computers to come.

I was just at our quantum lab in Santa Barbara yesterday seeing the incredible progress, hope they are celebrating today. Feeling lucky this morning to work at a company that has had 5 Nobel Laureates among our ranks - 3 prizes in 2 years!

[John Preskill @preskill]

The pioneering work of Clarke, Devoret, and Martinis showed that very cold electrical circuits behave in ways that exhibit fundamental principles of quantum physics. Building on this achievement, Devoret, Martinis, and many others are constructing quantum computers, powerful tools for exploring quantum science and solving very hard computational problems. Congratulations!

[Google Quantum AI @GoogleQuantumAI]

Willow, our next-gen quantum chip, is pushing the boundaries of quantum computing. With 5x improved coherence times, we're unlocking new possibilities in error correction and performance.

Learn more → https://t.co/iI0wec88TA #QuantumAI

[Google @Google]

Meet Willow, our newest quantum chip. In under 5 minutes, it's able to perform a benchmark computation that would take one of today’s fastest supercomputers 10 septillion years. (That's greater than the age of the universe!) Learn more ↓ https://t.co/6UnDvVt7v2

[Google Quantum AI @GoogleQuantumAI]

Meet Willow: Our state-of-the-art quantum chip. It's the first quantum chip to show exponential error reduction as qubits scale, paving the way for large-scale, fault-tolerant quantum computers. Dive in → https://t.co/Lr1vkZk1QT

[Sundar Pichai @sundarpichai]

We see Willow as an important step in our journey to build a useful quantum computer with practical applications in areas like drug discovery, fusion energy, battery design + more. Details here: https://t.co/dgPuXOoBSZ

[Agustin Di Paolo @agudipaolo]

@orionfigen Finally! We've been waiting for so long!

[PRX Quantum @PRX_Quantum]

Experimental exploration of phase slips in fluxonium qubits validates theoretical models and identifies design parameter bounds to prevent decoherence. @MITLL

https://t.co/vOOrSb5Mif

[Kevin Satzinger @KJSatz]

Check out our latest preprint @GoogleQuantumAI pushing the surface code to the next level!

- Below threshold (Λ > 2)
- Distance-7 logical qubit, 0.0014 error per cycle, >2x better than physical qubits
- Explore 10^-10 error regime with repetition codes

https://t.co/tGLKKg51jS

[Jarrod McClean @JarrodMcclean]

To enable exciting new applications in learning from quantum data and building more modular quantum computers, Google Quantum AI opened a new funding call for PIs in quantum transduction (hardware and theory). Encourage your friends to write and apply! https://t.co/UOY4gNAcrZ

[Google Quantum AI @GoogleQuantumAI]

Time flies when you're immersed in the latest physics and connecting with colleagues at @APSphysics March Meeting!

Here's what our researchers will be focusing on today ↓

[Agustin Di Paolo @agudipaolo]

Early March Meeting highlight!

[Alexandre Blais @circuitqed]

It was great to see past and current group members last night for our annual @TheSQuaD_IQ #APSMarch dinner. this year, we even had a few guests from @qudev bringing the total to 24!

[Google Quantum AI @GoogleQuantumAI]

We’re at @APSphysics March Meeting this week! Attending? Stop by one of our 50+ sessions or swing by our booth to learn more and to chat with our team.

Read more about our presence and event schedule here ↓ https://t.co/Oah9YjB1AM

[YaleQuantumInstitute @Yale_QI]

Opening the last session of #circuitQEDat20, @oliver_mit from @RLEatMIT is presenting in his keynote "waveguide QED and high-fidelity operations".

[Agustin Di Paolo @agudipaolo]

Happy 20th anniversary, circuit QED!

[YaleQuantumInstitute @Yale_QI]

And with this recreation of a 20 year old photo, the #CircuitQEDat20 conference comes to an end. Thank you to everyone who joined us!
@circuitqed @AndreasAtETH

[YaleQuantumInstitute @Yale_QI]

Michel Devoret is celebrating 20 years of cQED with an interrogative keynote: How fast can we remove entropy from superconducting qubit?

[Agustin Di Paolo @agudipaolo]

@scqubits @APSphysics Congratulations, Jens! Very happy for you.