Citation notice #4936 · 2026-07-11 03:19:08.722131+00:00

IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX

cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, which carries a correction notice dated 2020-03-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

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01Evidence

Raw extraction · bibliography line · bibliography index 35

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman,IanHenriksen,E.A.Quintero,CharlesR.Harris,AnneM.Archibald,Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python”. In:Nature Methods 17 (2020), pp. 261–272.doi: 10.1038/s41592-019-0686-2 (page 7). A Runtime analysis for the sparse implementation The SciPy package implements the SMPP algorithm for fast matrix multiplication found in [3]. For the matrix multiplicationM · N, where M is of dimensionm × k and N of dimension k × n this algorithm has runtime complexity O(m[max (nnzrow(M),nnzcol(N))2 + max(m, n)) (39) where nnzrow(M) and nnzcol(N) are the maximum number of non-zero entries in any row of M and column ofN. Using this, we can now consider each of the matrix mul

02Event

Type

Correction

Source

Crossref

Original DOI

10.1038/s41592-019-0686-2

Notice DOI

10.1038/s41592-020-0772-5

Date

2020-03-04

Title

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python

Reasons

['Correction']

Work

SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python (2020) Nature Methods

Schema constants (for re-runners): correction · crossref

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