https://nitter.gq/t.co/icEF3GX2ys Developing quantum algorithms @GoogleDeepMind. Previously @ibmresearch, @pasqalio, PhD @UniofOxford
London, England
Joined September 2016
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Our new paper, and my first since joining Google DeepMind, is on the arXiv today!
Super exciting to see how we can leverage human expertise, Lean and AI to design better quantum algorithms including for full-scale scientific applications.
arxiv.org/abs/2611.09822
Ben Jaderberg retweeted
I’m still half in disbelief
We asked Gemini Argon to teach the Apollo humanoid to play cornhole, and it zero-shotted it
All we gave it was a video of a person doing it. It then took control of the robot, generated its own sim env, performed some sysID, and trained launches on the real robot.
It took it a few real shots to improve and then land many consecutive airmails.
The process was so long and articulated that we asked the robot itself to explain what it did to us, as you can see at the end of the video. It even came up with the gestures
Great demo for a great model @googledeepmind @apptronik
Ben Jaderberg retweeted
Gemini 4 Argon is a step change in model performance.
In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇
As we launch Gemini 4 Argon, we’re excited to share two standout results accelerating our quantum computing research at Google DeepMind, in collaboration with Google Quantum AI.
Spacetime cost (qubits × runtime) is often what decides whether an algorithm can actually run on early fault-tolerant hardware. We formally verified Argon's circuit in Lean, backing the much cheaper implementation with a machine-checked correctness guarantee.
It’s amazing that Argon can already provide such significant progress on important engineering challenges for quantum computing—and I’m super excited to see how far we can push both directions!
Read more about Gemini Argon in the blog post: blog.google/innovation-and-a…
Ben Jaderberg retweeted
We've now been granted superpowers, and now is the time to raise our sights to the grand challenges around us. In my case, what is the correct theory of gravity? Is it string theory, postquantum gravity, or something else entirely? 2/
Ben Jaderberg retweeted
The goal of physicists is not to prove conjectures and post papers about it. The goal of physicists is to make mind-blowing discoveries that change the world and the way we think about the natural laws which govern it. 1/
Today on the arXiv (arxiv.org/abs/2508.20868), we show how the Fourier modes of variational QML models are almost always correlated! And the amount of correlation (a) depends on your choice of ansatz (b) can be a strong predictor of how well your model will perform
Excited to share our latest paper and my first since joining IBM arxiv.org/abs/2503.09683! Here we show how to practically prepare MPS with short-range correlations in shallow, high-fidelity circuits 🧵
Typically only quenches from the Neel state are done on quantum computers, since the ground state prep requires no CX gates. But with AQC-Tensor and ADAPT-AQC, we can study a quench, from near the phase boundary, for the first time on real hardware.
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A huge thanks to my co-authors, this result is the culmination of a great 3-way collaboration between @IBMResearch @STFC_Matters and @NPL. Some of those co-authors have X including @katevcm @LW_Anderson @23AbhishekA
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