Théo Lisart-Liebermann
@theolisart.bsky.social
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Quantum researcher @fraunhofer, hacker, popular education fan.
pinned post!
This is our first paper in a series of two, which tackles the question of trainability of shallow QAOA algorithms. We provide benchmarks for quasi-newton and natural gradient methods, in addition to introducing a simple secant-penalization in BFGS updates [1/2]
www.arxiv.org/abs/2504.16518
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Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
The optimization of parametric quantum circuits is technically hindered by three major obstacles: the non-convex nature of the objective function, noisy gradient evaluations, and the presence of barre...
https://www.arxiv.org/abs/2504.16518
5 months ago
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Today I learned that the measurement problem had a satisfactory interpretation since 2002 within quantum statistical mechanics and WHY THE HELL NOBODY TOLD ME EVER
4 months ago
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This reads like a movie script, props to Vincent for sticking to his guns despite the hierarchy.
add a skeleton here at some point
5 months ago
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Théo Lisart-Liebermann
Julien Gossa
5 months ago
Le gouvernement : fait des réformes qui renforcent les inégalités Les profs : refusent les réformes Le gouvernement : oblige les profs à quand même les faire Tout le monde : constate que les inégalités augmentent Le gouvernement : accuse les profs en leur affichant une charte
add a skeleton here at some point
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Another new paper from our group: *Clifford and Non-Clifford Splitting in Quantum Circuits: Applications and ZX-Calculus Detection Procedure* We introduce compilation procedure using the ZX-Calculus to identify Clifford and non-clifford borders in quantum circuits.
arxiv.org/abs/2504.16004
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Clifford and Non-Clifford Splitting in Quantum Circuits: Applications and ZX-Calculus Detection Procedure
Classical simulation of quantum circuits is a pivotal part of the quantum computing landscape, specially within the NISQ era, where the constraints imposed by available hardware are unavoidable. The G...
https://arxiv.org/abs/2504.16004
5 months ago
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This is our first paper in a series of two, which tackles the question of trainability of shallow QAOA algorithms. We provide benchmarks for quasi-newton and natural gradient methods, in addition to introducing a simple secant-penalization in BFGS updates [1/2]
www.arxiv.org/abs/2504.16518
loading . . .
Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
The optimization of parametric quantum circuits is technically hindered by three major obstacles: the non-convex nature of the objective function, noisy gradient evaluations, and the presence of barre...
https://www.arxiv.org/abs/2504.16518
5 months ago
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Théo Lisart-Liebermann
Dulwich Quantum Computing
7 months ago
Another turn in the Microsoft drama.
scottaaronson.blog?p=8669#comme...
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This is a bit of a personal admission: I thought for around one year that LiDAR systems were named after prof. Daniel Lidar. There I said it.
8 months ago
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Théo Lisart-Liebermann
Anubhav Jain
10 months ago
Have you ever wondered why diffusion models memorize and all initializations lead to the same training sample? As we show, this is because like in dynamic systems, the memorized sample acts as an attractor and a corresponding attraction basin is formed in the denoising trajectory.
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PRIF and TU Darmstadt are hiring for cross-disciplinary positions for PhD and postdocs in arms control, mainly in nuclear engineering. RB appreciated !
www.cntrarmscontrol.org/news/snd-vac...
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SND Vacancies | CNTR
https://www.cntrarmscontrol.org/news/snd-vacancies
10 months ago
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reposted by
Théo Lisart-Liebermann
Will Kinney
10 months ago
If the universe started out in a pure quantum state, how is anything in a mixed state now?
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reposted by
Théo Lisart-Liebermann
Rishi Sreedhar
10 months ago
Hey
#Quantumsky
👋🏾 This is an attempt at indexing the growing quantum community here on Bluesky. Please let me know if you'd like to be added to the list. Genuinely happy to see what looks like a successful migration from the birdsite 😄
go.bsky.app/VHXg1yi
add a skeleton here at some point
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you reached the end!!
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