QGeo: A Python Package for Calculating Geodesic Control Functions for Quantum Computing

We present a new Python package that uses the formalism of geometric quantum complexity to numerically compute metric-dependent geometric cost and control functions associated with preparing a given unitary transformation on a quantum computer. The numerical procedure we implement is presented and discussed. Analyzed quantum circuits include: the quantum Fourier transform for up to four qubits, a random circuit with depth 100, and a circuit for analyzing the evolution of a fermionic chain with several lattice sites.

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Publication Details

Journal
Quantum Reports
Published
2026-04-01
DOI
https://doi.org/10.3390/quantum8020030
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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QGeo: A Python Package for Calculating Geodesic Control Functions for Quantum Computing

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Quantum Computing Algorithms and Architecture
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QGeo: A Python Package for Calculating Geodesic Control Functions for Quantum Computing

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article en

Abstract

We present a new Python package that uses the formalism of geometric quantum complexity to numerically compute metric-dependent geometric cost and control functions associated with preparing a given unitary transformation on a quantum computer. The numerical procedure we implement is presented and discussed. Analyzed quantum circuits include: the quantum Fourier transform for up to four qubits, a random circuit with depth 100, and a circuit for analyzing the evolution of a fermionic chain with several lattice sites.

Quantum ReportsVol. 8(2)
United States Naval Research Laboratory (US), Naval Information Warfare Center Pacific (US), San Diego State University (US)
Office of Naval Research, U.S. Naval Research Laboratory, Air Force Research Laboratory, Naval Information Warfare Center Pacific
Openalex Percentile: Top 33%
Quantum Computing Algorithms and Architecture
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