Mikel Sanz
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qmisanz.bsky.social
Mikel Sanz
@qmisanz.bsky.social
Ramón y Cajal Researcher and Ikerbasque Fellow at the University of the Basque Country and Basque Center for Applied Mathematics. #QuantumComputing #QuantumAlgorithms #QuantumTechnologies #QuantumMetrology
This week we had the pleasure of hosting @mvscerezo.bsky.social in our group. We enjoyed tons of fun, engaging discussions, and progress on several projects. Looking forward to having you back soon! 🚀
September 12, 2025 at 1:23 PM
🚀 Excited to share our latest work "Neural quantum kernels: Training quantum kernels with quantum neural networks", published in #PhysicalReviewResearch, on advancing quantum machine learning with neural quantum kernels! Great work by Pablo Rodriguez-Grasa and great collaboration with Yue Ban!
June 20, 2025 at 4:50 PM
📊 We divide the N-Re space into 5 regions — from guaranteed efficient quantum simulations to zones where we’re out of luck and it seems that efficiency is only provable when Re is small. In other words, we give a new insight into when quantum computers might beat classical ones at simulating fluids.
June 12, 2025 at 8:58 PM
💡 Turns out, it's not just about the math, it’s about the physics. Specifically, the Reynolds number 🌀 (Re), which characterizes how turbulent a flow is, becomes central to estimating the efficiency by relating QCL to the Kolmogorov scale, the smallest length scale in turbulent flows.
June 12, 2025 at 8:58 PM
🔥 New paper: "Quantum Carleman linearization efficiency in nonlinear fluid dynamics" in #PhysRevResearch. doi.org/10.1103/Phys...
Fluid dynamics is hard when things go nonlinear: turbulence, shocks, and chaotic flows. Solving it requires huge computational resources. Could quantum computing help?
June 12, 2025 at 8:58 PM
New article published today in #PhysicalReviewResearch entitled "Existence of unbiased estimators in discrete quantum systems" with Javier Navarro Navarro and Ricard Ravell Rodríguez.

link.aps.org/doi/10.1103/...

@upvehu.bsky.social @nquirec.bsky.social
April 16, 2025 at 4:31 PM
Today, Javier Gonzalez-Conde defended his thesis, “Quantum Algorithms for Differential Equations in Finance and Physics.” It’s been a long journey—at times a tough one—especially with the pandemic lockdown hitting just as he joined the group. But the work has been outstanding. Congratulations!
April 11, 2025 at 7:56 PM
We propose here the first quantum model of light-matter interaction in gas-filled hollow-core fibers. We show that, in the semi-classical limit, the model recovers the traditional equations, while also enabling the prediction of entanglement dynamics during the Raman transduction process.
April 6, 2025 at 7:32 PM
Our new paper "Entanglement transfer during quantum frequency conversion in gas-filled hollow-core fibers" was published this week in APL Photonics. Great work by Tasio Gonzalez-Raya (as usual), Arturo Mena López and Miriam Lazo. doi.org/10.1063/5.02...
@upvehu.bsky.social BCAM Ikerbasque
April 6, 2025 at 7:28 PM
New paper published today in Phys. Rev. Research doi.org/10.1103/Phys... “Quantum approximated cloning-assisted density matrix exponentiation”. Congrats to @pablones8.bsky.social Rubén Ibarrondo, J. González-Conde, Y. Ban and P. Rebentrost! @upvehu.bsky.social #BCAM #Ikerbasque
March 12, 2025 at 5:36 PM
New paper published today in Machine Learning: Science and Technology doi.org/10.1088/2632... on “Satellite image classification with neural quantum kernels”. Special congrats to @pablones8.bsky.social and to all collaborators! @upvehu.bsky.social
February 18, 2025 at 9:09 AM
It’s a pleasure that my first message here is to announce a lecture series by a great friend Lucas Céleri from UFG, Brazil, on “Introduction to Information Theory: Foundations and Applications”. The course won’t be broadcasted but will uploaded in our channel: m.youtube.com/@NquirePhysi...
November 22, 2024 at 2:10 PM