Tootfinder

Wan-Animate: Unified Character Animation and Replacement with Holistic Replication
Gang Cheng, Xin Gao, Li Hu, Siqi Hu, Mingyang Huang, Chaonan Ji, Ju Li, Dechao Meng, Jinwei Qi, Penchong Qiao, Zhen Shen, Yafei Song, Ke Sun, Linrui Tian, Feng Wang, Guangyuan Wang, Qi Wang, Zhongjian Wang, Jiayu Xiao, Sheng Xu, Bang Zhang, Peng Zhang, Xindi Zhang, Zhe Zhang, Jingren Zhou, Lian Zhuo

Wan-Animate: Unified Character Animation and Replacement with Holistic Replication
We introduce Wan-Animate, a unified framework for character animation and replacement. Given a character image and a reference video, Wan-Animate can animate the character by precisely replicating the expressions and movements of the character in the video to generate high-fidelity character videos. Alternatively, it can integrate the animated character into the reference video to replace the original character, replicating the scene's lighting and color tone to achieve seamless environmental i…

Rare Event Simulation of Quantum Error-Correcting Circuits
Carolyn Mayer, Anand Ganti, Uzoma Onunkwo, Tzvetan Metodi, Benjamin Anker, Jacek Skryzalin
https://arxiv.org/abs/2509.13678

Rare Event Simulation of Quantum Error-Correcting Circuits
We describe a practical approach for accessing the logical failure rates of quantum error-correcting (QEC) circuits under low physical (component) failure rate regimes. Standard Monte Carlo is often the de facto approach for studying the failure rates of quantum circuits. However, in the study of fault-tolerant error-correcting circuits, the ability to extend this approach to low physical failure rates is limited. In particular, the use of Monte Carlo to access circuits that are relatively larg…

Chipfertigung in Deutschland: ESMC-Chef Dr. Christian Koitzsch im Interview
Wir hatten die Gelegenheit, mit dem Chef von TSMCs erster europäischer Niederlassung zu sprechen: ESMC-Präsident Dr. Christian Koitzsch.

Shares of ISU Petasys, a South Korea-based multi-layer PCB supplier for AI servers used by Alphabet, Nvidia, Microsoft, and others, are up 215% so far this year (John Kang/Forbes)
http://www.forbes.com/sites/johnkang/2025

AI Chip Boom Propels Chairman Of Korean Circuit Board Maker Into The Billionaire Ranks
The surging demand for computer chips and related components to fuel the AI boom has boosted shares of ISU Petasys by 215% so far this year.

🇺🇦 Auf radioeins läuft...
Christine And The Queens:
🎵 A Day In The Water (Radio Edit)
#NowPlaying #ChristineAndTheQueens
https://christineandthequeens.bandcamp.com/track/a-day-in-the-water
https://open.spotify.com/track/5GGLwBHZvoiub0mYt5OUSt

The Hammer and the Hype: What Really Got Crushed
Michigan dodged the hammer, and a power outage put me in a reflective mood.
https://www.bobmuellerwriter.com/the-hammer-and-the-hype-what-really-got-crushed/

The Hammer and the Hype: What Really Got Crushed – Bob Mueller
For months, college football fans have been clamoring for Michigan to get hammered for Signgate. The reality was not what many expected.

Characterizing Scaling Trends of Post-Compilation Circuit Resources for NISQ-era QML Models
Rupayan Bhattacharjee, Pau Escofet, Santiago Rodrigo, Sergi Abadal, Carmen G. Almudever, Eduard Alarc\'on
https://arxiv.org/abs/2509.11980

Characterizing Scaling Trends of Post-Compilation Circuit Resources for NISQ-era QML Models
This work investigates the scaling characteristics of post-compilation circuit resources for Quantum Machine Learning (QML) models on connectivity-constrained NISQ processors. We analyze Quantum Kernel Methods and Quantum Neural Networks across processor topologies (linear, ring, grid, star), focusing on SWAP overhead, circuit depth, and two-qubit gate count. Our findings reveal that entangling strategy significantly impacts resource scaling, with circular and shifted circular alternating strat…

Character-Centric Understanding of Animated Movies
Zhongrui Gui, Junyu Xie, Tengda Han, Weidi Xie, Andrew Zisserman
https://arxiv.org/abs/2509.12204 https://

Character-Centric Understanding of Animated Movies
Animated movies are captivating for their unique character designs and imaginative storytelling, yet they pose significant challenges for existing recognition systems. Unlike the consistent visual patterns detected by conventional face recognition methods, animated characters exhibit extreme diversity in their appearance, motion, and deformation. In this work, we propose an audio-visual pipeline to enable automatic and robust animated character recognition, and thereby enhance character-centric…

Scalable dissipative quantum error correction for discrete-variable codes
Ivan Rojkov, Elias Zapusek, Florentin Reiter
https://arxiv.org/abs/2507.12534 htt…

Scalable dissipative quantum error correction for discrete-variable codes
Dissipative quantum error correction (QEC) autonomously protects quantum information using engineered dissipation and offers a promising alternative to error correction via measurement and feedback. However, scalability remains a challenge, as correcting high-weight errors typically requires increasing dissipation rates and exponentially many correction operators. Here, we present a scalable dissipative QEC protocol for discrete-variable codes, correcting multi-qubit errors via a trickle-down m…

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…