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pro vyhledávání: '"Dean, Christopher"'
We report a resource estimation pipeline that explicitly compiles quantum circuits expressed using the Clifford+T gate set into a surface code lattice surgery instruction set. The cadence of magic state requests from the compiled circuit enables the
Externí odkaz:
http://arxiv.org/abs/2311.10686
Autor:
Dean, Christopher L.
Multimodal data fusion is the process of integrating disparate data sources into a shared representation suitable for complex reasoning. As a result, one can make more precise inferences about the underlying phenomenon than is possible with each data
Externí odkaz:
https://hdl.handle.net/1721.1/144802
We give a new description of computads for weak globular $\omega$-categories by giving an explicit inductive definition of the free words. This yields a new understanding of computads, and allows a new definition of $\omega$-category that avoids the
Externí odkaz:
http://arxiv.org/abs/2208.08719
Autor:
Dean, Christopher B. C.
In this paper, we prove functional limit theorems for P\'olya urn processes whose number of draws and initial number of balls tend to infinity together. This is motivated by recent work of Borovkov [5], where they prove a functional limit theorem for
Externí odkaz:
http://arxiv.org/abs/2206.05138
Publikováno v:
In Teaching and Teacher Education December 2024 152
Autor:
Kabakov, Peter, Zhou, Sihai, Dean, Christopher, Kurusingal, Valsala, Cheng, Zhenxiang, Lee, Ho-Yong, Zhang, Shujun
Publikováno v:
In Journal of the European Ceramic Society December 2024 44(16)
Publikováno v:
In Advances in Mathematics July 2024 450
Autor:
Kavanagh, Sarah Schneider, Farrow, JeanMarie, Bernhard, Tess, Guillotte, Amy, Dean, Christopher Pupik
Publikováno v:
In Teaching and Teacher Education July 2024 144
Autor:
Dean, Christopher
Publikováno v:
Silva Fennica, Vol 37, Iss 3 (2003)
A method of estimating trunk and branch volumes of single trees is presented that uses a combination of elementary field measurements, terrestrial photography, image rectification and on-screen digitising using commercial software packages and automa
Externí odkaz:
https://doaj.org/article/dcd3a5944be14c8d901e24b44a550d59
We present an approach to data fusion that combines the interpretability of structured probabilistic graphical models with the flexibility of neural networks. The proposed method, lightweight data fusion (LDF), emphasizes posterior analysis over late
Externí odkaz:
http://arxiv.org/abs/2011.10607