Tootfinder

Spin vs. position conjugation in quantum simulations with atoms: application to quantum chemistry
N. A. Moroz (Quantum Technology Centre, M.V. Lomonosov Moscow State University), K. S. Tikhonov (St. Petersburg State University and Russian Quantum Center, Russian Quantum Center), L. V. Gerasimov (Quantum Technology Centre, M.V. Lomonosov Moscow State University, Centre for Interdisciplinary Basic Research, HSE University), A. D. Manukhova (Department of Optics, Palacky University), I. B…

Spin vs. position conjugation in quantum simulations with atoms: application to quantum chemistry
The permutation symmetry is a fundamental attribute of the collective wavefunction of indistinguishable particles. It makes a difference for the behavior of collective systems having different quantum statistics but existing in the same environment. Here we show that for some specific quantum conjugation between the spin and spatial degrees of freedom the indistinguishable particles can behave similarly for either quantum statistics. In particular, a mesoscopically scaled collection of atomic q…

"as dense urban neighborhoods grow more costly, lower- and moderate-income renters, the very people most likely to ride the bus, are pushed out and replaced by a more affluent set who, on the whole, tend to favor getting around by car."
This finding should temper expectations that building lots of market-rate, i.e., expensive, housing will automagically bring about some kind of transit renaissance.

Rydberg Atomic Receivers for Multi-Band Communications and Sensing
Mingyao Cui, Qunsong Zeng, Zhanwei Wang, Kaibin Huang
https://arxiv.org/abs/2505.24168 h…

Rydberg Atomic Receivers for Multi-Band Communications and Sensing
Harnessing multi-level electron transitions, Rydberg Atomic Receivers (RAREs) can detect wireless signals across a wide range of frequency bands, from Megahertz to Terahertz, enabling multi-band communications and sensing (C&S). Current research on multi-band RAREs primarily focuses on experimental demonstrations, lacking an interpretable model to mathematically characterize their mechanisms. This issue leaves the multi-band RARE as a black box, posing challenges in its practical C&S applicatio…

One of the goals I've set for further development of #Python eclasses in #Gentoo was to avoid needless complexity. Unfortunately, the subject matter sometimes requires them. However, many of the functions added lately were already manually done in ebuilds for years.
We've started disabling plugin autoloading years ago. First we just did that for individual packages that caused issues. Then, for these where tests ended up being really slow. Finally, pretty much anywhere `python_test()` was declared. Doing it all manually was particularly cumbersome — all I needed for `EPYTEST_PLUGINS` is a good idea how to generalize it.
Similarly, `EPYTEST_XDIST` was added after we have been adding manually `epytest -p xdist -n "$(makeopts_jobs)" --dist=worksteal` — and while at it, I've added `EPYTEST_JOBS` to override the job count.
Perhaps `EPYTEST_TIMEOUT` wasn't that common. However, it was meant to help CI systems that could otherwise get stuck on hanging test.
Similarly, "standard library" version (like `3.9`) matching to `python_gen_cond_dep` was added after a long period of explicitly stating `python3_9 pypy3`. As an extra benefit, this also resolved the problem that at the time `pypy3` could mean different Python versions.

This also points at the likely answer to the headscratcher of where some ancient people of the region found the water they needed. https://wandering.shop/@adapalmer/114773151081694915

On the Structure of Carbon Nanotubes: Results from Computer-Assisted Proofs
Miguel Ayala, Rustum Choksi, Benedikt Wirth
https://arxiv.org/abs/2506.22614 ht…

On the Structure of Carbon Nanotubes: Results from Computer-Assisted Proofs
We present a toolbox based on computer-assisted proofs to rigorously study the structure of capped carbon nanotubes. We model nanotubes as minimizers of an interatomic potential. Numerical simulations and validated computations produce rigorous mathematical results about atomic distances and structural variations. In particular, we rigorously measure the diameter, bond lengths, and bond angles of nanotubes and thereby precisely quantify oscillations near the caps, differences between interactio…

OpenAI is expanding its consulting-like service to refine its models and build bespoke apps for large enterprise and government clients spending at least $10M (The Information)
https://www.theinformation.com/articles/openai-takes-page…

OpenAI Takes a Page From Palantir, Doubles Down on Consulting Services
As OpenAI pitches its artificial intelligence to big companies and government agencies, it’s taking a page from the playbook of many software firms by offeringin-house researchers and software engineers to customize AI for customers. OpenAI is adding staff and resources for a consulting-like ...

EL-AGHF: Extended Lagrangian Affine Geometric Heat Flow
Sangmin Kim, Hae-Won Park
https://arxiv.org/abs/2505.24751 https://arxiv.org/…

EL-AGHF: Extended Lagrangian Affine Geometric Heat Flow
We propose a constrained Affine Geometric Heat Flow (AGHF) method that evolves so as to suppress the dynamics gaps associated with inadmissible control directions. AGHF provides a unified framework applicable to a wide range of motion planning problems, including both holonomic and non-holonomic systems. However, to generate admissible trajectories, it requires assigning infinite penalties to inadmissible control directions. This design choice, while theoretically valid, often leads to high com…

This https://arxiv.org/abs/2503.00140 has been replaced.
link: https://scholar.google.com/scholar?q=a

Approaching the Harm of Gradient Attacks While Only Flipping Labels
Machine learning systems deployed in distributed or federated environments are highly susceptible to adversarial manipulations, particularly availability attacks -adding imperceptible perturbations to training data, thereby rendering the trained model unavailable. Prior research in distributed machine learning has demonstrated such adversarial effects through the injection of gradients or data poisoning. In this study, we aim to enhance comprehension of the potential of weaker (and more probabl…

Oobleck: Low-Compromise Design for Fault Tolerant Accelerators
Guy Wilks, Brian Li, Jonathan Balkind
https://arxiv.org/abs/2506.22654 https://

Oobleck: Low-Compromise Design for Fault Tolerant Accelerators
Data center hardware refresh cycles are lengthening. However, increasing processor complexity is raising the potential for faults. To achieve longevity in the face of increasingly fault-prone datapaths, fault tolerance is needed, especially in on-chip accelerator datapaths. Previously researched methods for adding fault tolerance to accelerator designs require high area, lowering chip utilisation. We propose a novel architecture for accelerator fault tolerance, Oobleck, which leverages modular …