QuantumOps: Performs Common Linear Algebra Operations Used in Quantum Computing and Implements Quantum Algorithms

Contains basic structures and operations used frequently in quantum computing. Intended to be a convenient tool to help learn quantum mechanics and algorithms. Can create arbitrarily sized kets and bras and implements quantum gates, inner products, and tensor products. Creates arbitrarily controlled versions of all gates and can simulate complete or partial measurements of kets. Has functionality to convert functions into equivalent quantum gates and model quantum noise. Includes larger applications, such as Steane error correction <doi:10.1103/physrevlett.77.793>, Quantum Fourier Transform and Shor's algorithm (Shor 1999), Grover's algorithm (1996), Quantum Approximation Optimization Algorithm (QAOA) (Farhi, Goldstone, and Gutmann 2014) <arXiv:1411.4028>, and a variational quantum classifier (Schuld 2018) <arXiv:1804.00633>. Can be used with the gridsynth algorithm <arXiv:1212.6253> to perform decomposition into the Clifford+T set.

Version: 3.0.1
Depends: R (≥ 3.1.0)
Published: 2020-02-03
Author: Salonik Resch
Maintainer: Salonik Resch <resc0059 at umn.edu>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: QuantumOps results


Reference manual: QuantumOps.pdf
Package source: QuantumOps_3.0.1.tar.gz
Windows binaries: r-devel: QuantumOps_3.0.1.zip, r-release: QuantumOps_3.0.1.zip, r-oldrel: QuantumOps_3.0.1.zip
macOS binaries: r-release (arm64): QuantumOps_3.0.1.tgz, r-release (x86_64): QuantumOps_3.0.1.tgz, r-oldrel: QuantumOps_3.0.1.tgz
Old sources: QuantumOps archive


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