Staff Scientist at Los Alamos National Laboratory --Quantum Algorithms, Quantum Machine Learning.

Los Alamos, NM
Joined March 2011
How many samples from an unknown n-mode η-particle fermionic state are needed to power a shadows scheme? In a new paper we substantially reduce SOTA estimates, check arxiv.org/pdf/2606.27254
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Finally, we note the scheme is computationally efficient, with post-processing costs O(n η²) and O(n² η) for generic dense Slaters and quadratic observables, respectively.
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Kudos to my collabs @MvsCerezo and Max West!
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Although the results presented here constitute a signifi- cant step towards a unified understanding of group-based shadows, the story is not yet complete. Some reps fail to admit NDCEs (e.g. many Sn irreps), and an open question remains: do centralizing bases always exist? 10/11
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Thanks to my wonderful collaborators @MvsCerezo @dmitry_grinko @fredericsauv Nathan Killoran, David Wierichs, Roy Forestano, Aniruddha Sen, and Max West! 11/11
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Martin Larocca retweeted
Human insight is still a thing: over the last few years many computing resources were thrown towards the Merzon-Smirnov conjecture on maximal Schubert polynomials, including DeepMind's FunSearch. In the end it fell to a human-generated targeted check: arxiv.org/abs/2603.20104
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A new hub for quantum computing 🏡 The Lab’s new Center for Quantum Computing, opening in downtown Los Alamos, unites dozens of quantum researchers under one roof to strengthen national security, advance quantum science and mentor the future workforce. 👉 ow.ly/sQi750Y8vVU
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Martin Larocca retweeted
🎆As the year ends, I want to remind everyone that our summer school applications are open! Please apply/encourage your students to apply here: academicjobsonline.org/ajo/j… We also have a handshake link too🤝 : app.joinhandshake.com/emp/jo… Shares appreciated!
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