Martin Larocca

197 posts

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Martin Larocca

Martin Larocca

@MartinLaroo

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

Los Alamos, NM شامل ہوئے Mart 2011
331 فالونگ966 فالوورز
Martin Larocca ری ٹویٹ کیا
Greta Panova
Greta Panova@GretaPanova·
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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Los Alamos National Laboratory
Los Alamos National Laboratory@LosAlamosNatLab·
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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IBM Research
IBM Research@IBMResearch·
Theorists at @IBMResearch uncover a new quantum algorithm demonstrating a substantial speedup over the best classical methods—and showing what the process of algorithm discovery looks like. ibm.co/6011BzS05
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Martin Larocca
Martin Larocca@MartinLaroo·
@BraneRunner @IBMResearch Suggesting, irregardless of potential constant overheads, the quantum algorithm should be faster at not too large values of n (as a wild guess id say not more than two digits).
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p-brane
p-brane@BraneRunner·
@IBMResearch What is the order of the symmetric group that would be needed for practical applications? Very large?
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Martin Larocca
Martin Larocca@MartinLaroo·
@BraneRunner @IBMResearch The quantum computation of diagonal kroneckers scales as ~n^k with k the tail of the partition, while the best (known) classical algorithm scales as ~n^{k^2}. This means that already for no too large k (e.g. 3 or 4) there is a huge polynomial gap.
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Martin Larocca
Martin Larocca@MartinLaroo·
@d1stinc8 @IBMResearch yeah but over non-abelian groups (e.g. the symmetric group) which is efficient but has found little succesful application so far.
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Anurag
Anurag@qc_anurag·
@IBMResearch Is everything just a masked version of quantum Fourier transform?
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Martin Larocca
Martin Larocca@MartinLaroo·
Nice press release on our recent work on quantum algorithms for Kronecker, Littlewood, Kostka, Plethysm and other coefficients.
IBM Research@IBMResearch

Theorists at @IBMResearch uncover a new quantum algorithm demonstrating a substantial speedup over the best classical methods—and showing what the process of algorithm discovery looks like. ibm.co/6011BzS05

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FORT DEL MERVAL
FORT DEL MERVAL@FortMerval·
ERA AGUANTARLO 2 SEMANAS MÁS LOS VELARON
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QIP 2026
QIP 2026@QIPConference·
📢 QIP2026 Registration is OPEN! Join the leading global platform for quantum research! ✅ Early bird: until Dec 3, 2025 ✅ Late: Dec 4, 2025 – Jan 12, 2026 ℹ️ Details & registration ⬇️ 🔗 qip2026.lu.lv/registration/r… pic.twitter.com/VJqFm4qD3y
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Marco Cerezo
Marco Cerezo@MvsCerezo·
@qmisanz Thanks for hosting me @qmisanz ! I had a blast chatting with all the amazing people in your group.
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Mikel Sanz
Mikel Sanz@qmisanz·
This week we had the pleasure of hosting @MvsCerezo in our group. We enjoyed tons of fun, engaging discussions, and progress on several projects. Looking forward to having you back soon! 🚀
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Marco Cerezo
Marco Cerezo@MvsCerezo·
I find myself in a barren plateaud landscape. I've used Monument Valley so much as an analogy for BPs, that I figured I should finally pay this beautiful place a visit!
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Marco Cerezo
Marco Cerezo@MvsCerezo·
I am so, so happy to see this article published as a perspective in Nature Communications: nature.com/articles/s4146… More than the paper itself, I thoroughly enjoyed chatting with all my co-authors on the implications of the absence of BPs ~ classical simulability connection
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QIP 2026
QIP 2026@QIPConference·
We are thrilled to announce that QIP 2026 will take place in Riga, Latvia 🇱🇻  on January 24–30, 2026! 📢 The submissions are now open — join the world’s leading conference on quantum information processing. 🔗 Visit conference website for more information: qip2026.lu.lv
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