Zoe Holmes

@qzoeholmes.bsky.social

Quantum physicist. Assistant Prof at EPFL. Climber.

I have now put out four papers this year that were either scooped or pre-emptive anti-scoops (joint posts). Being scooped has bad press, but it is increasingly establishing itself as my most reliable project-management system. 10/10, highly recommend.

And so (potentially against my better judgement) I find myself again at the March Meeting (trauma fades, mistakes repeat etc) If you are around and fancy a chat get in touch!

Hey, we have new quantum algs for computing operator hydrodynamic quantities (otocs, magic, etc) The trick is that these quantities are naturally computed in the Heisenberg picture but we can turn them to states via vectorization Also @shaohenc.bsky.social's new here & you should follow him! 🧵👇

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@shaohenc.bsky.social · 6mo ago

Excited to share about our work on quantum simulation and algorithms, just out on arXiv! 📜 Scirate link here: scirate.com/arxiv/2602.2... In a nutshell: we show how quantum computers can be used to perform (quantum) simulations in the Heisenberg picture naturally.

Last call for abstracts! Join us for Quantum Information by the beach in Thailand ⚛️ 🏖️🇹🇭 The 2nd International Conference on Siam Quantum Science and Technology (SQST 2026), happening May 18 – 21, 2026, in beautiful Jomtien, Chonburi, Thailand! 🌊 🔗Abstract Submission& Further Info: www.sqst2026.org

Siam Quantum Science and Technology (SQST 2026)

The 2nd International Conference on Siam Quantum Science and Technology

sqst2026.org

We've studied iterative strategies for finding ground states We use the ground state of an easy Hamiltonian to `warm start' finding the ground states for some harder Hamiltonians We derive gradient guarantees that (as for adiabatic methods) depend on the gap and a few other natural properties 🧵👇

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Ricard Puig@pvricard.bsky.social · 7mo ago

Preparing approximate ground states has never been hotter 🔥, nor cooler🥶 scirate.com/arxiv/2602.0... In short: we combine warm-started variational quantum circuits with adiabatic principles to show how iterative training strategies can be useful to prepare approximate ground states.

Hey - we've extended Pauli and Majorana propagation to simulating thermal states The trick is to imaginary-time evolve identity and then normalize by the trace of the Pauli (or Majorana) sum at the end The catch is that both our analytics and numerics suggest it only works at high temperatures 🧵👇

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Manuel Rudolph@quantummanuel.bsky.social · 7mo ago

Did you know you can simulate quantum states with Pauli and Majorana propagation? In short: High-temperature states are provably and practically sparse, and we can use imaginary time evolution to get there starting from the infinite-temperature state. scirate.com/arxiv/2602.0...

Stefan Knecht has written up a nice summary of Garnet Chan's new paper "No, FeMoCo hasn’t been entirely solved but for its gold-standard active space model (the model QC folks have been looking at), there is now a classical benchmark which provides an excellent baseline for any quantum work." 🧵👇

Stefan Knecht@kinnhaenger.bsky.social · 8mo ago

My recommendation: read the paper, an excellent work marking IMHO another milestone for quantum chemistry, congratulations to all authors. To add to the cited post, the most important conclusions of the work are highlighted in the picture, a breakdown will be provided in the comments.

The Fields Institute (Toronto) has this summer a "Thematic Program on Optimal Transport in Natural Sciences and Statistics" I see this as a chance for quantum folk to chat with optimal transport experts to see if it could help them e.g. understand trainability questions or develop new quantum algs.

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And the results of the annual Quantum Physics 2 meme competition are in… 🥁 🪘🛢️🍗 in fifth place we have a meme that I secretly have a lot of sympathy for…

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I made the bold decision to host my group's Christmas dinner/party Chaos persued 'Team cooking' arranged a four course meal featuring a whole salmon, capon, lamb shoulder and countless sides/desserts. Followed by crackers, secret santa and slide karaoke Miraculously only one glass was broken

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Yanting is keeping you updated on our efforts to continually improve propagation algorithms and our code-base PauliPropagation.jl. This time with memory savings and increased robustness to truncations for simulating quantum systems with certain symmetries ⬆️ ➡️ ⬇️ ⬅️ Expect more in the future! 🚀

GitHub - MSRudolph/PauliPropagation.jl: A Julia library for Pauli propagation simulation of quantum circuits and quantum systems.

A Julia library for Pauli propagation simulation of quantum circuits and quantum systems. - MSRudolph/PauliPropagation.jl

github.com

Yanting Teng@yteng.bsky.social · 9mo ago

Happy to share our paper: Leveraging Symmetry Merging in Pauli Propagation scirate.com/arxiv/2512.1... tl;dr We improve standard Pauli propagation by merging Pauli strings related by symmetry. Shoutout to my collaborators @sueyeonchung.bsky.social @quantummanuel.bsky.social @qzoeholmes.bsky.social

Hey we've just updated the arXiv version of our Majorana propagation paper We now have end-to-end efficiency guarantees for a randomized model of an adaptVQE-like circuit (Our error bounds here are way tighter than the ones for pauli prop and also use a new Markov chain based proof strategy)

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Zoe Holmes@qzoeholmes.bsky.social · last yr.

Hey! On the arXiv today we present `Majorana Propagation’ a new classical algorithm for simulating Fermionic circuits. Depending on your mood... the algorithm can be viewed either as naturally suited to compete with, or collaboratively enhance, quantum hardware simulations.

Sit down & buckle up. Behind this rather innocent title is the paper that caused the most fraught arguments of any of my career. Are these arguments important? Probably not. Am I going to tell you them anyway? Absolutely. Here is the story of a rollercoaster of a paper. 🎢👇

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Matthew Duschenes@mduschenes.bsky.social · 9mo ago

If you've ever been curious about statistics and random dynamics in general quantum settings, here's some new work on moments of ensembles of random quantum channels, with the amazing @dgarciamartin.bsky.social , @qzoeholmes.bsky.social , and @mvscerezo.bsky.social !! arxiv.org/abs/2511.12700

Applications for the LANL quantum computing summer school are now open! I recently got asked about the most important turning points of my career and without hesistation said the LANL summer school. The first 1/3 of this video is me rambling about why it was so special: youtu.be/XjkHmtr_IT0?...

Prix Zonta 2025 EPFL : Zoë Holmes

YouTube video by B&Co Communication

youtu.be

Marco Cerezo@mvscerezo.bsky.social · 9mo ago

🚨Applications for LANL's 2026 Quantum Computing Summer School are open! Please apply here 👇 academicjobsonline.org/ajo/jobs/31108 Reposts appreciated! Deadline to Apply is January 11th 2026. Still, you should go and apply now!

Our group is looking to hire postdocs to work at the intersection of quantum computing, quantum algorithms, quantum machine learning, simulation of many-body quantum systems and early-fault tolerant quantum computing Apply here: lanl.jobs/search/jobde... Reposts appreciated!

Quantum Computing and Early Fault-Tolerant Simulations at Los Alamos National Laboratory

Los Alamos National Laboratory is Hiring! Search available jobs or submit your resume now by visiting this link. Please share with anyone you feel would be a great fit.

lanl.jobs

Among todays mad arxiv overflow is our preprint: "When quantum resources backfire: Non-gaussianity and symplectic coherence in noisy bosonic circuits" We introduce a path propagation classical simulation alg for bosonic circuits And find a funky interplay between quantum resources and noise 🧵👇

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Armando Angrisani@aangrisani.bsky.social · 11mo ago

Can your quantum device still provide quantum advantage in the presence of noise? This is well-studied for spin systems, but less so for bosonic systems—photonics, superconducting resonators, or motional modes of trapped ions and atoms. We address this question in our new paper! 🧵⬇️Thread below

We provide evidence of an exponential gap between adaptive & nonadaptive strategies for a quantum recompilation task Key takeaways: - Entanglement isn’t always a roadblock: its degree can aid training - Discrete optimization may be key to finding sweet spots between concentration & surrogation

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