Tootfinder

Phase-Space Framework for Noisy Intermediate-Scale Quantum Optical Neural Networks
Stanis{\l}aw \'Swierczewski, Wouter Verstraelen, Piotr Deuar, Barbara Pi\k{e}tka, Timothy C. H. Liew, Micha{\l} Matuszewski, Andrzej Opala
https://arxiv.org/abs/2507.07684

Phase-Space Framework for Noisy Intermediate-Scale Quantum Optical Neural Networks
Quantum optical neural networks (QONNs) enable information processing beyond classical limits by exploiting the advantages of classical and quantum optics. However, simulation of large-scale bosonic lattices remains a significant challenge due to the exponential growth of the Hilbert space required to describe a quantum network accurately. Consequently, previous theoretical studies have been limited to small-scale systems, leaving the behaviour of multimode QONNs largely unexplored. This work p…

The growth strategy, which seems to be the only tool in mainstream politicians' kit, is broken for good.
Limits to Growth was right about collapse - resilience
https://www.resilience.org/stories/2025-05-20/limits-to-growth-was-righ…

Limits to Growth was right about collapse
The only question is whether we manage degrowth or just let it happen to us. This isn’t a neutral question. I know which one of these is worse.

Semi-analytical model for the dynamical evolution of planetary system II: Application to systems formed by a planet formation model
Tadahiro Kimura, Eiichiro Kokubo, Yuji Matsumoto, Christoph Mordasini, Masahiro Ikoma
https://arxiv.org/abs/2507.03906

Semi-analytical model for the dynamical evolution of planetary system II: Application to systems formed by a planet formation model
The standard formation model of close-in low-mass planets involves efficient inward migration followed by growth through giant impacts after the protoplanetary gas disk disperses. While detailed N-body simulations have enhanced our understanding, their high computational cost limits statistical comparisons with observations. In our previous work, we introduced a semi-analytical model to track the dynamical evolution of multiple planets through gravitational scattering and giant impacts after th…

Pseudo-grand canonical molecular dynamics via volumetrically controlled osmotic pressure
Blake I. Armstrong, Aaron D. Copeland, Davide Donadio, Paolo Raiteri
https://arxiv.org/abs/2508.03051

Pseudo-grand canonical molecular dynamics via volumetrically controlled osmotic pressure
Molecular dynamics simulations are typically constrained to have a fixed number of particles, which limits our capability to simulate chemical and physical processes where the composition of the system changes during the simulation time. Typical examples are the calculation of nucleation and crystal growth rates in heterogeneous solutions where the driving force depends on the composition of the fluid. Constant chemical potential molecular dynamics simulations would instead be required to compu…

Limits to Growth was right about collapse.
"This improved parameter set results in a World3 simulation that shows the same overshoot and collapse mode in the coming decade as the original business as usual scenario of the LtG standard run."
https://www.re…

Limits to Growth was right about collapse
The only question is whether we manage degrowth or just let it happen to us. This isn’t a neutral question. I know which one of these is worse.

This https://arxiv.org/abs/2505.04233 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Dust enrichment and growth in the earliest stages of protoplanetary disk formation
Aims. We numerically investigated dust enrichment and growth during the initial stages of protoplanetary disk formation. A particular objective was to determine the effects of various growth barriers, mimicked by imposing a series of upper permissible limits on maximum dust sizes. Methods. We used the Formation and Evolution of Stars and Disks on nested meshes (ngFEOSAD) code to simulate the three-dimensional dynamics of gas and dust under the polytropic approximation, from the gravitational co…

This https://arxiv.org/abs/2405.20032 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
With the exponential growth of video traffic, traditional video streaming systems are approaching their limits in compression efficiency and communication capacity. To further reduce bitrate while maintaining quality, we propose Promptus, a disruptive semantic communication system that streaming prompts instead of video content, which represents real-world video frames with a series of "prompts" for delivery and employs Stable Diffusion to generate videos at the receiver. To ensure that the gen…

Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data
Xiaoyu Li, Zhao Song, Jiahao Zhang
https://arxiv.org/abs/2506.20141

Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data
The explosive growth of AI research has driven paper submissions at flagship AI conferences to unprecedented levels, necessitating many venues in 2025 (e.g., CVPR, ICCV, KDD, AAAI, IJCAI, WSDM) to enforce strict per-author submission limits and to desk-reject any excess papers by simple ID order. While this policy helps reduce reviewer workload, it may unintentionally discard valuable papers and penalize authors' efforts. In this paper, we ask an essential research question on whether it is pos…

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel
https://arxiv.org/abs/2506.18774

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
The Czochralski (Cz) method is a widely used process for growing high-quality single crystals, critical for applications in semiconductors, optics, and advanced materials. Achieving optimal growth conditions requires precise control of process and furnace design parameters. Still, data scarcity -- especially for new materials -- limits the application of machine learning (ML) in predictive modeling and optimization. This study proposes a transfer learning approach to overcome this limitation by…

Quantum Dynamics and Information Measures in PT and Anti-PT-Symmetric Systems
Amir Ahmadi, Roozbeh H. Asgari, Javad T. Firouzjaee
https://arxiv.org/abs/2508.03169 https://

Quantum Dynamics and Information Measures in PT and Anti-PT-Symmetric Systems
In this study, we investigate qubit dynamics under PT and Anti-PT-symmetric non-Hermitian Hamiltonians, focusing on phase evolution, decoherence, quantum speed limits (QSL), and Rényi entanglement entropies. Using similarity transformations and Dyson maps, we analyze the reduced density matrix evolution in bosonic environments. Anti-PT-symmetric systems show enhanced robustness against decoherence, with slower entropy growth and longer coherence times compared to PT-symmetric counterparts. QSL…

Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations
Timothy Heightman, Edward Jiang, Ruth Mora-Soto, Maciej Lewenstein, Marcin P{\l}odzie\'n
https://arxiv.org/abs/2507.12117

Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations
Quantum machine learning (QML) seeks to exploit the intrinsic properties of quantum mechanical systems, including superposition, coherence, and quantum entanglement for classical data processing. However, due to the exponential growth of the Hilbert space, QML faces practical limits in classical simulations with the state-vector representation of quantum system. On the other hand, phase-space methods offer an alternative by encoding quantum states as quasi-probability functions. Building on pri…

Extrinsic Dopants as Growth Modifiers in Cu-Cr-O delafossites: A Study of Incorporation Limits and Film Properties
Marco Moreira, Yves Fleming, Patrick Grysan, Christele Vergne, Adrian Marie Philippe, Petru Lunca-Popa
https://arxiv.org/abs/2506.13540

Extrinsic Dopants as Growth Modifiers in Cu-Cr-O delafossites: A Study of Incorporation Limits and Film Properties
Cu-Cr-O delafossite thin films were grown by metal-organic chemical vapor deposition with various extrinsic dopants (Al, Mg, Mn, Sc, Y, and Zn) targeted at 5 at % to investigate how such doping influences their structure and properties. X-ray photoelectron spectroscopy revealed that the actual dopant incorporation is well below the nominal 5 %, with only Al and Sc present above detection. An off-stoichiometric Cu-Cr-O composition is determined, with no secondary phases detected. Transmission el…