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pro vyhledávání: '"Matthew Treinish"'
Autor:
Paul D. Nation, Matthew Treinish
Publikováno v:
PRX Quantum, Vol 4, Iss 1, p 010327 (2023)
We present a quantum circuit optimization technique that takes into account the variability in error rates that is inherent across present-day noisy quantum computing platforms. This method can be run after qubit routing or postcompilation and consis
Externí odkaz:
https://doaj.org/article/a0f5744777054af1a44650330c95f132
Autor:
Paul D. Nation, Matthew Treinish
We present a quantum circuit optimization technique that takes into account the variability in error rates that is inherent across present day noisy quantum computing platforms. This method can be run post qubit routing or post-compilation, and consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b21ae39eb200770d8b13623e0f513d3
In rustworkx, we provide a high-performance, flexible graph library for Python. rustworkx is inspired by NetworkX but addresses many performance concerns of the latter. rustworkx is written in Rust and is particularly suited for performance-sensitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e408a2a7871c32836c082f03b0031d