Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Quantum Field Dynamics February 1

Tracy D. McSheery

Published Feb 2, 2026• 0 citations
Publisher

Abstract

Latest Edit (without images or graphs. GitHub Repo at https://github.com/tracyphasespace/Quantum-Field-Dynamics
DOI
10.5281/zenodo.18454026

Related papers

Recent progress in quantum computation/simulation for field theory

Yannick Meurice

Institute of Physics eBooks•Feb 1, 2021•0 citations

GRA Meta-Nulling: A Variational Theory of Quantum Measurement Without Collapse Postulates

oleg bitsoev

https://github.com/qqewq/GRA-Meta-Nulling-Repo

•Jan 25, 2026•0 citations

Quantum Dynamics and Computation [Working Title]

IntechOpen eBooks•Jan 1, 2019•0 citations

QTCI free energy density and numerical evaluations of the superconducting gap equation

Mio Tammi

Jupyter notebooks used for computational analysis of the self-consistent gap equation. The gap quation was solved iteratively, with the free energy density functional, and with the quantics tensor-network cross interpolated free energy density. References:https://xfac.readthedocs.io/en/latest/tutorial-python/quantics2d.htmlhttps://github.com/tensor4all/xfachttps://github.com/joselado/qtcipy

•Apr 22, 2026•0 citations

INTRODUCTION TO NONRELATIVISTIC QUANTUM FIELDS AND DIAGRAM TECHNIQUES.

C. Alton Coulter, Benjamin Morris

•Oct 31, 1969•0 citations

QuTiP 5: The Quantum Toolbox in Python

Neill Lambert, Eric Giguère, Paul Menczel +15 more

QuTiP, the Quantum Toolbox in Python (Johansson et al., 2012, Johansson et al., 2013), has been at the forefront of open-source quantum software for the past 13 years. It is used as a research, teaching, and industrial tool, and has been downloaded millions of times by users around the world. Here we introduce the latest developments in QuTiP v5, which are set to have a large impact on the future of QuTiP and enable it to be a modern, continuously developed and popular tool for another decade and more. We summarize the code design and fundamental data layer changes as well as efficiency improvements, new solvers, applications to quantum circuits with QuTiP-QIP, and new quantum control tools with QuTiP-QOC. Additional flexibility in the data layer underlying all “quantum objects” in QuTiP allows us to harness the power of state-of-the-art data formats and packages like JAX, CuPy, and more. We explain these new features with a series of both well-known and new examples. The code for these examples is available in a static form on GitHub ( https://github.com/qutip/qutip-paper-v5-examples ) and as continuously updated and documented notebooks in the qutip-tutorials package ( https://github.com/qutip/qutip-tutorials ).

arXiv:2412.04705•Physics Reports•Nov 1, 2025•123 citations
QuTiP, the Quantum Toolbox in Python (Johansson et al., 2012, Johansson et al., 2013), has been at the forefront of open-source quantum software for the past 13 years. It is used as a research, teaching, and industrial tool, and has been downloaded millions of times by users around the world. Here we introduce the latest developments in QuTiP v5, which are set to have a large impact on the future of QuTiP and enable it to be a modern, continuously developed and popular tool for another decade and more. We summarize the code design and fundamental data layer changes as well as efficiency improvements, new solvers, applications to quantum circuits with QuTiP-QIP, and new quantum control tools with QuTiP-QOC. Additional flexibility in the data layer underlying all “quantum objects” in QuTiP allows us to harness the power of state-of-the-art data formats and packages like JAX, CuPy, and more. We explain these new features with a series of both well-known and new examples. The code for these examples is available in a static form on GitHub ( https://github.com/qutip/qutip-paper-v5-examples ) and as continuously updated and documented notebooks in the qutip-tutorials package ( https://github.com/qutip/qutip-tutorials ).