Tootfinder

Tag 9 gestern war ein langer und schöner #Verona Tag, erst um 0.15 Uhr war #Aida in der #ArenaVerona zu Ende. Grandios und bewegend.
Am Morgen eine schöne Messe in San Zeno. Mittagessen im sehr beson…

Quantum stroboscopy for time measurements
Seth Lloyd, Lorenzo Maccone, Lionel Martellini, Simone Roncallo
https://arxiv.org/abs/2507.17740 https://arxiv.or…

Quantum stroboscopy for time measurements
Mielnik's cannonball argument uses the Zeno effect to argue that projective measurements for time of arrival are impossible. If one repeatedly measures the position of a particle (or a cannonball!) that has yet to arrive at a detector, the Zeno effect will repeatedly collapse its wavefunction away from it: the particle never arrives. Here we introduce quantum stroboscopic measurements where we accumulate statistics of projective position measurements, performed on different copies of the system…

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
https://arxiv.org/abs/2506.19031

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
While diffusion models generate high-quality images via probability flow, the theoretical understanding of this process remains incomplete. A key question is when probability flow converges to training samples or more general points on the data manifold. We analyze this by studying the probability flow of shallow ReLU neural network denoisers trained with minimal $\ell^2$ norm. For intuition, we introduce a simpler score flow and show that for orthogonal datasets, both flows follow similar traj…

Partitioning the electronic wave function using deep variational Monte Carlo
Mat\v{e}j Mezera, Paolo A. Erdman, Zeno Sch\"atzle, P. Bern\'at Szab\'o, Frank No\'e
https://arxiv.org/abs/2506.18574

Partitioning the electronic wave function using deep variational Monte Carlo
We propose a novel wave function partitioning method that integrates deep-learning variational Monte Carlo with ansätze based on generalized product functions. This approach effectively separates electronic wave functions (WFs) into multiple partial WFs representing, for example, the core and valence domains or different electronic shells. Although our ansätze do not explicitly include correlations between individual electron groups, we show that they accurately reproduce the underlying physi…

Multi-partonic interactions, iterated discontinuities and the virtuality expansion in deep inelastic scattering
Zeno Capatti, Lucien Huber, Michael Ruf
https://arxiv.org/abs/2506.16489

Multi-partonic interactions, iterated discontinuities and the virtuality expansion in deep inelastic scattering
We introduce a perturbative model that accounts for the contribution of multi-partonic interactions to collider observables. A key feature of this multi-parton model is that cross sections are organised in terms of building blocks that are separately infrared-finite in virtue of the KLN theorem. We find compact expressions for these building blocks in terms of double discontinuities of Feynman-type integrals obtained by endowing a vacuum graph with additional topological information. The framew…

Thermalization and Many-Body Zeno Effect in monitored Hamiltonian Dynamics
Jia-Jin Feng, Quntao Zhuang
https://arxiv.org/abs/2508.13574 https://arxiv.org/p…

Thermalization and Many-Body Zeno Effect in monitored Hamiltonian Dynamics
Random quantum states are essential for various applications in quantum information science. Prior approaches of generating genuine random states rely on a large bath to thermalize the system, such that a subsequent measurement on the bath post-selects a random state for the system. To reduce the size of the required bath, we propose an alternative approach based on holographic deep thermalization driven by Hamiltonian evolution, combined with mid-circuit measurements. By trading spatial and ti…

In 300BC, Zeno proved that it's impossible to code an app using #LLM tools.
Imagine a vibe coder who generates an app. The LLM can only provide working code for half of the features requested.
So he has to ask the #AI to generate the other half. Once again, the AI can only fulfill half of the…

Deciding the Value of Two-Clock Almost Non-Zeno Weighted Timed Games
Isa Vialard
https://arxiv.org/abs/2508.00014 https://arxiv.org/pdf/2508.00014

Deciding the Value of Two-Clock Almost Non-Zeno Weighted Timed Games
The Value Problem for weighted timed games (wtgs) consists in determining, given a two-player weighted timed game with a reachability objective and a rational threshold, whether or not the value of the game exceeds the threshold. When restrained to wtgs with non-negative weight, this problem is known to be undecidable for weighted timed games with three or more clocks, and decidable for one-clock wtgs. The Value Problem for two-clock non-negative wtgs, which remained stubbornly open for a decad…

Replaced article(s) found for cond-mat.stat-mech. https://arxiv.org/list/cond-mat.stat-mech/new
[1/1]:
- Bath-induced Zeno localization in driven many-body quantum systems
Thibaud Maimbourg, Denis M. Basko, Markus Holzmann, Alberto Rosso

Multilingual Self-Taught Faithfulness Evaluators
Carlo Alfano, Aymen Al Marjani, Zeno Jonke, Amin Mantrach, Saab Mansour, Marcello Federico
https://arxiv.org/abs/2507.20752 http…

Multilingual Self-Taught Faithfulness Evaluators
The growing use of large language models (LLMs) has increased the need for automatic evaluation systems, particularly to address the challenge of information hallucination. Although existing faithfulness evaluation approaches have shown promise, they are predominantly English-focused and often require expensive human-labeled training data for fine-tuning specialized models. As LLMs see increased adoption in multilingual contexts, there is a need for accurate faithfulness evaluators that can ope…

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/2]:
- A unified picture for quantum Zeno and anti-Zeno effects
Sacha Greenfield, Archana Kamal, Justin Dressel, Eli Levenson-Falk

An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Adam Foster, Zeno Sch\"atzle, P. Bern\'at Szab\'o, Lixue Cheng, Jonas K\"ohler, Gino Cassella, Nicholas Gao, Jiawei Li, Frank No\'e, Jan Hermann
https://arxiv.org/abs/2506.19960

An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireferential character of the electronic structure in dissociating species. Multireferential methods in particular suffer from large computational cost, which under the normal paradigm has to be paid anew for each system at a full price, ignoring commonalities in electronic structure across molecules. Quantum Monte Carlo with deep neural networks (deep QMC) uniquely offers to exploit such common…