18 papers · ranked by Valyu relevance
Mark Webster, Benjamin J. Brown, Stephen D. Bartlett
> We propose an extension to the Pauli stabiliser formalism that includes fractional 2π/N rotations around the Z axis for some integer N. The resulting generalised stabiliser formalism – denoted the XP stabiliser formalism – allows for a wider range of states and codespaces to be represented. We describe the states…
Margarita Davydova, Andreas Bauer, Julio C. Magdalena de la Fuente, Mark Webster + 2 more
'Mark Webster' 'Dominic J. Williamson' 'Benjamin J. Brown'] We show how to perform scalable fault-tolerant non-Clifford gates in two dimensions by introducing domain walls between the surface code and a non-Abelian topological code whose codespace is stabilized by Clifford operators. We formulate a path integral…
Clément Poirson, Anthony Leverrier, Christophe Vuillot
Tiger codes form a family of multimode bosonic quantum codes that unify several previously known constructions, including cat, paircat, and the two-mode binomial code. In this work, we give a rigorous algebraic treatment of these codes. Starting from a kernel definition of the codespace, we prove that the…
Hung Q. Vo, Huy Q. Vo, Son T. Ly, Zhihao Wan + 5 more
Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, basic morphological feature extraction, and spatial organization analysis. However, these tools often require manual intervention and are not well integrated with code-driven automation…
Yuqi Tan, Tim N. Kempchen, Martin Becker, Maximilian Haist + 7 more
Multiplexed imaging technologies provide insights into complex tissue architectures. However, challenges arise due to software fragmentation with cumbersome data handoffs, inefficiencies in processing large images (8 to 40 gigabytes per image), and limited spatial analysis capabilities. To efficiently analyze…
Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian + 2 more
'Tie‐Yan Liu'] Abstract—Semantic code search, which aims to retrieve code snippets relevant to a given natural language query, has attracted many research efforts with the purpose of accelerating software development. The huge amount of online publicly available code repositories has prompted the employment of deep…
Tianhao Chu, Yuling Wu, Wentao Qiu, Zihao Jiang + 3 more
Localized space coding and phase coding are two distinct strategies responsible, respectively, for representing abstract structure and sensory observations in neural cognitive maps. In spatial representation, localized space coding is implemented by place cells in the hippocampus (HPC), while phase coding is…
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong + 1 more
We present CV4Code, a compact and effective computer vision method for sourcecode understanding. Our method leverages the contextual and the structural information available from the code snippet by treating each snippet as a two-dimensional image, which naturally encodes the context and retains the underlying…
Christoffer M. Langseth, Bastien Hervé, Hanna P. Piechaczyk, Yuk Kit Lor + 2 more
Spatial omics technologies enable high-resolution mapping of molecular and cellular organization within tissues, yet interactive exploration of these data remains challenging due to computational bottlenecks, and reliance on proprietary software infrastructures. We present KaroSpace, a framework for cell-centric…
Jing Gong, Yanghui Wu, Linxi Liang, Zibin Zheng + 1 more
Semantic code search, retrieving code that matches a given natural language query, is an important task to improve productivity in software engineering. Existing code search datasets are problematic: either using unrealistic queries, or with mismatched codes, and typically using one-to-one query-code pairing, which…
Enrique J. Fernandez-Sanchez, Javier Diaz, Eduardo Ros
Depth information has been used in computer vision for a wide variety of tasks. Since active range sensors are currently available at low cost, high-quality depth maps can be used as relevant input for many applications. Background subtraction and video segmentation algorithms can be improved by fusing depth and color…
José L. Medina-Franco, Ana L. Chávez-Hernández, Edgar López-López, Fernanda I. Saldívar-González
Technological advances and practical applications of the chemical space concept in drug discovery, natural product research, and other research areas have attracted the scientific community´s attention. The large- and ultra-large chemical spaces are associated not only with the significant increase in the number of…
Mengwei Hu, Yi Cui, Qianhui Huang, Khoi Chu + 18 more
SPAtial Cell Exploration (SPACE) is a novel subcellular imaging-based method that couples large-scale perturbations with whole transcriptome single-cell multi-omics readout, while preserving spatial context, providing unprecedented insights into tissue organization and microenvironmental interactions at very low cost.…
Fernanda I. Saldívar-González, José L. Medina-Franco
Chemical space is a powerful, general, and practical conceptual framework in drug discovery and other areas in chemistry that addresses the diversity of molecules and it has various applications. Moreover, chemical space is a cornerstone of chemoinformatics as a scientific discipline. In response to the increase in the…
Authors not listed
Given the size of the drug discovery relevant chemical space, working with fully enumerated compound libraries (especially in 3D) is unfeasible. Non-enumerated virtual chemical spaces are a practical solution to this issue; where compounds are described as building blocks which are then connected by rules. One concrete…
Rongrong Liu, Yassine Ruichek, Mohammed El Bagdouri
The Codebook model is one of the popular real-time models for background subtraction. In this paper, we first extend it from traditional Red-Green-Blue (RGB) color model to multispectral sequences. A self-adaptive mechanism is then designed based on the statistical information extracted from the data themselves, with…
Pieter Floris Jacobs, Robert Pollice
Scientists across domains are often challenged to master domain-specific languages (DSLs) for their research, which are merely a means to an end but are pervasive in fields like computational chemistry. Automated code generation promises to overcome this barrier, allowing researchers to focus on their core expertise.…
Christos Veinidis, Fotis Arnaoutoglou, Dimitrios Syvridis, Daniel Meneveaux + 1 more
'Daniel Meneveaux' 'Gianmarco Cherchi'] 3D reconstruction of fishes provides the capability of extracting geometric measurements, which are valuable in the field of Aquaculture. In this paper, a novel method for 3D reconstruction of fishes using the Coded Structured Light technique is presented. In this framework, a…