13 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…
Ali Lavasani, Sagar Vijay
Adiabatic Noise Authors: ['Ali Lavasani' 'Sagar Vijay'] The codespace of a quantum error-correcting code can often be identified with the degenerate ground-space within a gapped phase of quantum matter. We argue that the stability of such a phase is directly related to a set of coherent error processes against which…
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…
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…
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…
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…
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…
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…
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…
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…
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.…