Tootfinder

Distributed fault-tolerant quantum memories over a 2xL array of qubit modules
Edwin Tham, Min Ye, Ilia Khait, John Gamble, Nicolas Delfosse
https://arxiv.org/abs/2508.01879 http…

Distributed fault-tolerant quantum memories over a 2xL array of qubit modules
We propose an architecture for a quantum memory distributed over a $2 \times L$ array of modules equipped with a cyclic shift implemented via flying qubits. The logical information is distributed across the first row of $L$ modules and quantum error correction is executed using ancilla modules on the second row equipped with a cyclic shift. This work proves that quantum LDPC codes such as BB codes can maintain their performance in a distributed setting while using solely one simple connector: a…

Light-programmable reorientation of the crystallographic c-axis of Tellurium thin films
Yuta Kobayashi, Arata Mitsuzuka, Haruo Kondo, Makoto Shoshin, Jun Uzuhashi, Tadakatsu Ohkubo, Masamitsu Hayashi, Masashi Kawaguchi
https://arxiv.org/abs/2508.18584

Light-programmable reorientation of the crystallographic c-axis of Tellurium thin films
Tellurium (Te), a two-dimensional material with pronounced structural anisotropy, exhibits exceptional electrical and optical properties that are highly sensitive to its crystallographic orientation. However, conventional synthesis techniques offer limited control over the in-plane alignment of Te's crystallographic c-axis, hindering large-scale integration. Here, we report a novel, non-contact method to dynamically manipulate the c-axis orientation of Te thin films using linearly polarized pic…

Tailoring Magnetic Properties of Zigzag Structured Thin Films via Interface Engineering and Columnar Nano-structuring
Sharanjeet Singh, Manisha Priyadarsini, Anup Kumar Bera, Smritiparna Ghosh, Varimalla R. Reddy, Sarathlal Koyiloth Vayalil, Benedikt Sochor, Dileep Kumar
https://arxiv.org/abs/2506.19577

Tailoring Magnetic Properties of Zigzag Structured Thin Films via Interface Engineering and Columnar Nano-structuring
We report the emergence of a novel interface-induced shape anisotropy component in zigzag-structured thin films fabricated via Sequential Oblique Angle Deposition (S-OAD). In this study, we systematically investigate cobalt (Co) and Co2FeAl (CFA) thin films by varying column length, number of bilayers, and magneto-crystalline anisotropy (MCA) to explore how structural modulation affects magnetic behavior. Using magneto-optical Kerr effect (MOKE) measurements in conjunction with synchrotron-base…

Hamburg police have understood what “defensive #democracy” means:
“Does flying the 🏳️‍🌈 flag violate the neutrality requirement? No! Our neutrality means political impartiality – but not neutrality in value. The flag represents values like diversity, tolerance & equality of rights, which are deeply embedded in our constitution.
Positioning ourselves against hate & discrimi…

Andreas Froese (@Andreas_Froese@mastodon.social)
Attached: 1 image Im Bundestag geht die Polizei auf Anordnung der Präsidentin und der Verwaltung gegen die #Regenbogenfahne vor. Die Hamburger Polizei hat dagegen dieses stabile Statement offiziell veröffentlicht. Klare Worte zur #Neutralität mit einer klaren #Haltung! #LGBTQIA+ #Regenbogenflagge #Queer

Data Compression with Relative Entropy Coding
Gergely Flamich
https://arxiv.org/abs/2506.16309 https://arxiv.org/pdf/2506.16309

Data Compression with Relative Entropy Coding
Over the last few years, machine learning unlocked previously infeasible features for compression, such as providing guarantees for users' privacy or tailoring compression to specific data statistics (e.g., satellite images or audio recordings of animals) or users' audiovisual perception. This, in turn, has led to an explosion of theoretical investigations and insights that aim to develop new fundamental theories, methods and algorithms better suited for machine learning-based compressors. In…

Self-Stabilizing Replicated State Machine Coping with Byzantine and Recurring Transient Faults
Shlomi Dolev, Amit Hendin, Maurice Herlihy, Maria Potop Butucaru, Elad Michael Schiller
https://arxiv.org/abs/2506.12900

Self-Stabilizing Replicated State Machine Coping with Byzantine and Recurring Transient Faults
The ability to perform repeated Byzantine agreement lies at the heart of important applications such as blockchain price oracles or replicated state machines. Any such protocol requires the following properties: (1) \textit{Byzantine fault-tolerance}, because not all participants can be assumed to be honest, (2) r\textit{ecurrent transient fault-tolerance}, because even honest participants may be subject to transient ``glitches'', (3) \textit{accuracy}, because the results of quantitative queri…

Atomically thin silver films for enhanced nanoscale nonlinear optics
Philipp K. Jenke, Saad Abdullah, Andrew P. Weber, \'Alvaro Rodr\'iguez Echarri, Fadil Iyikanat, Vahagn Mkhitaryan, Frederik Schiller, J. Enrique Ortega, Philip Walther, F. Javier Garc\'ia de Abajo, Lee A. Rozema
https://arxiv.org/abs/2508.15417

Atomically thin silver films for enhanced nanoscale nonlinear optics
The inherently weak nonlinear optical response of bulk materials remains a fundamental limitation in advancing photonic technologies. Nanophotonics addresses this challenge by tailoring the size and morphology of nanostructures to manipulate the optical near field, thus modulating the nonlinear response. Here, we explore a complementary strategy based on engineering the electronic band structure in the mesoscopic regime to enhance optical nonlinearities. Specifically, we demonstrate an increase…

EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Xinmeng Hou, Zhouquan Lu, Wenli Chen, Hai Hu, Qing Guo
https://arxiv.org/abs/2507.15015

EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
Large language models (LLMs) have demonstrated significant potential as educational tutoring agents, capable of tailoring hints, orchestrating lessons, and grading with near-human finesse across various academic domains. However, current LLM-based educational systems exhibit critical limitations in promoting genuine critical thinking, failing on over one-third of multi-hop questions with counterfactual premises, and remaining vulnerable to adversarial prompts that trigger biased or factually in…