Tootfinder

Spacetime duality between sequential and measurement-feedback circuits
Tsung-Cheng Lu, Sarang Gopalakrishnan, Yizhi You
https://arxiv.org/abs/2507.12523 ht…

Spacetime duality between sequential and measurement-feedback circuits
Two prevalent approaches for preparing long-range entangled quantum states are (i) linear-depth sequential unitary (SU) circuits, which apply local unitary gates sequentially, and (ii) constant-depth measurement-feedback (MF) circuits, which employ mid-circuit measurements and conditional feedback based on measurement outcomes. Here, we establish that a broad class of SU and MF circuits are dual to each other under a spacetime rotation. We investigate this spacetime duality in the preparation o…

Series B, Episode 11 - Gambit
SERVALAN: He'll soon come round. Travis is very strong. [She goes to inspect Travis.]
JARRIERE: Oh, he once worked for you?
SERVALAN: Yes.
JARRIERE: And now he's an outlaw? Uh, what happened?
https://blake.torpidity.net/m/211/202 B7B2…

Yes, smart meters are scarce in Germany, but that does not mean scarcity pricing can be applied to them.
Consumers who request a smart meter, for example to benefit from dynamic electricity prices, should not be charged €900 by their grid operator, but rather a maximum of around €100.

Knapp 900 Euro für den Smart-Meter-Einbau: Verbraucherzentrale klagt erfolgreich gegen unangemessene Preise
Landgericht Halle gibt Klage der Verbraucherzentrale gegen die Mitteldeutsche Netzgesellschaft statt

Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction
Yizhi Zhou, Jie Xu, Jiawei Xia, Zechen Hu, Weizi Li, Xuan Wang
https://arxiv.org/abs/2508.10999

Robust Online Calibration for UWB-Aided Visual-Inertial Navigation with Bias Correction
This paper presents a novel robust online calibration framework for Ultra-Wideband (UWB) anchors in UWB-aided Visual-Inertial Navigation Systems (VINS). Accurate anchor positioning, a process known as calibration, is crucial for integrating UWB ranging measurements into state estimation. While several prior works have demonstrated satisfactory results by using robot-aided systems to autonomously calibrate UWB systems, there are still some limitations: 1) these approaches assume accurate robot l…

Speaking of cursed USB...
What's the most cursed USB thing you have personally had a hand in creating (whether as an actual product or a one-off personal project or prototype)?
For me, it's probably this 4-port hub with male mini-B connectors (yes mini, not micro or C), intended to mate backplane-style directly to small devkits without using a cable.
The connector was incredibly hard to source because ~nobody ever made USB devices with PCB mount (rather than cable m…

Characterizing the Time Variability of 2M1207 A b with JWST NIRSpec/PRISM
Arthur D. Adams, Yifan Zhou, Gabriel Dominique-Marleau, Daniel Apai, Beth A. Biller, Aarynn L. Carter, Johanna M. Vos, Niall Whiteford, Stephan Birkmann, Theodora Karalidi, Xianyu Tan, Jason Wang, Yuhiko Aoyama, Brendan P. Bowler, Micka\"el Bonnefoy, Jun Hashimoto
https://

Characterizing the Time Variability of 2M1207 A+b with JWST NIRSpec/PRISM
We present JWST NIRSpec/PRISM IFU time-resolved observations of 2M1207 A and b (TWA 27), a $\sim 10$ Myr binary system consisting of a $\sim 2500$ K sub-stellar primary hosting a $\sim 1300$ K companion. Our data provide 20 time-resolved spectra over an observation spanning 12.56 hours. We provide an empirical characterization for the spectra of both objects across time. For 2M1207 A, non-linear trend models are statistically favored within the ranges 0.6-2.3 $μ$m and 3.8-5.3 $μ$m. However, m…

Spatial-CLAP: Learning Spatially-Aware audio--text Embeddings for Multi-Source Conditions
Kentaro Seki, Yuki Okamoto, Kouei Yamaoka, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
https://arxiv.org/abs/2509.14785

Spatial-CLAP: Learning Spatially-Aware audio--text Embeddings for Multi-Source Conditions
Contrastive language--audio pretraining (CLAP) has achieved remarkable success as an audio--text embedding framework, but existing approaches are limited to monaural or single-source conditions and cannot fully capture spatial information. The central challenge in modeling spatial information lies in multi-source conditions, where the correct correspondence between each sound source and its location is required. To tackle this problem, we propose Spatial-CLAP, which introduces a content-aware s…

Reinforcement Learning with Rubric Anchors
Zenan Huang, Yihong Zhuang, Guoshan Lu, Zeyu Qin, Haokai Xu, Tianyu Zhao, Ru Peng, Jiaqi Hu, Zhanming Shen, Xiaomeng Hu, Xijun Gu, Peiyi Tu, Jiaxin Liu, Wenyu Chen, Yuzhuo Fu, Zhiting Fan, Yanmei Gu, Yuanyuan Wang, Zhengkai Yang, Jianguo Li, Junbo Zhao
https://arxiv.org/abs/2508.12790

Reinforcement Learning with Rubric Anchors
Reinforcement Learning from Verifiable Rewards (RLVR) has emerged as a powerful paradigm for enhancing Large Language Models (LLMs), exemplified by the success of OpenAI's o-series. In RLVR, rewards are derived from verifiable signals-such as passing unit tests in code generation or matching correct answers in mathematical reasoning. While effective, this requirement largely confines RLVR to domains with automatically checkable outcomes. To overcome this, we extend the RLVR paradigm to open-end…

Reliable high-accuracy error mitigation for utility-scale quantum circuits
Dorit Aharonov, Ori Alberton, Itai Arad, Yosi Atia, Eyal Bairey, Matan Ben Dov, Asaf Berkovitch, Zvika Brakerski, Itsik Cohen, Eran Fuchs, Omri Golan, Or Golan, Barak D. Gur, Ilya Gurwich, Avieli Haber, Rotem Haber, Dorri Halbertal, Yaron Itkin, Barak A. Katzir, Oded Kenneth, Shlomi Kotler, Roei Levi, Eyal Leviatan, Yotam Y. Lifshitz, Adi Ludmer, Shlomi Matityahu, Ron Aharon Melcer, Adiel Meyer, Omrie Ovdat, Avi…

Reliable high-accuracy error mitigation for utility-scale quantum circuits
Error mitigation is essential for unlocking the full potential of quantum algorithms and accelerating the timeline toward quantum advantage. As quantum hardware progresses to push the boundaries of classical simulation, efficient and robust error mitigation methods are becoming increasingly important for producing accurate and reliable outputs. We introduce QESEM, a reliable, high-accuracy, characterization-based software implementing efficient, unbiased quasi-probabilistic error mitigation. We…

Magnetic-Field and Temperature Limits of a Kinetic-Inductance Traveling-Wave Parametric Amplifier
Lucas M. Janssen, Farzad Faramarzi, Henry G. LeDuc, Sahil Patel, Gianluigi Catelani, Peter K. Day, Yoichi Ando, Christian Dickel
https://arxiv.org/abs/2509.15043

Magnetic-Field and Temperature Limits of a Kinetic-Inductance Traveling-Wave Parametric Amplifier
Kinetic-inductance traveling-wave parametric amplifiers (KI-TWPAs) offer broadband near-quantum-limited amplification with high saturation power. Due to the high critical magnetic fields of high-kinetic-inductance materials, KI-TWPAs should be resilient to magnetic fields. In this work, we study how magnetic field and temperature affect the performance of a KI-TWPA based on a thin-NbTiN inverse microstrip with a Nb ground plane. This KI-TWPA can provide substantial signal-to-noise ratio improve…