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Bibliographic Details
Main Authors: Oon, Jner Tzern, Hakala, Sonja A., Witt, George A., Walsworth, Ronald
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2502.11389
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author Oon, Jner Tzern
Hakala, Sonja A.
Witt, George A.
Walsworth, Ronald
author_facet Oon, Jner Tzern
Hakala, Sonja A.
Witt, George A.
Walsworth, Ronald
contents TEMPO (Time-dependent Evolution of Multiple Pulse Operations) offers accessible and efficient simulations of pulse sequences in Python, using the suite of master equation solvers available in the Quantum Toolbox in Python (QuTiP). It enables straightforward definition of pulse sequence structures, including any underlying time-dependent Hamiltonians and pulse timing information, and faster simulations of pulse sequence dynamics (compared to naive implementations using QuTiP) while remaining compatible with the existing collection of QuTiP subpackages. Given the ubiquitous use of pulse sequences throughout quantum information/computing sciences, magnetic resonance studies, and quantum metrology, this work has immediate relevance to a wide array of research applications.
format Preprint
id arxiv_https___arxiv_org_abs_2502_11389
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle TEMPO: A Python Package for Time Evolution of Pulse Sequences in QuTiP
Oon, Jner Tzern
Hakala, Sonja A.
Witt, George A.
Walsworth, Ronald
Quantum Physics
TEMPO (Time-dependent Evolution of Multiple Pulse Operations) offers accessible and efficient simulations of pulse sequences in Python, using the suite of master equation solvers available in the Quantum Toolbox in Python (QuTiP). It enables straightforward definition of pulse sequence structures, including any underlying time-dependent Hamiltonians and pulse timing information, and faster simulations of pulse sequence dynamics (compared to naive implementations using QuTiP) while remaining compatible with the existing collection of QuTiP subpackages. Given the ubiquitous use of pulse sequences throughout quantum information/computing sciences, magnetic resonance studies, and quantum metrology, this work has immediate relevance to a wide array of research applications.
title TEMPO: A Python Package for Time Evolution of Pulse Sequences in QuTiP
topic Quantum Physics
url https://arxiv.org/abs/2502.11389