QuTiP 2: A Python framework for the dynamics of open quantum systems ✩
TLDR
The Quantum Toolbox in Python as mentioned in this paper has been updated with new features, enhanced performance, and made changes in the API for improved functionality and consistency within the package, as well as increased compatibility with existing conventions used in other scientific software packages for Python.About:
This article is published in Computer Physics Communications.The article was published on 2013-04-01 and is currently open access. It has received 1780 citations till now. The article focuses on the topics: Python (programming language) & Application programming interface.read more
Citations
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A quantum engineer's guide to superconducting qubits
Philip Krantz,Philip Krantz,Morten Kjaergaard,Fei Yan,Terry P. Orlando,Simon Gustavsson,William D. Oliver +6 more
TL;DR: In this paper, the authors provide an introductory guide to the central concepts and challenges in the rapidly accelerating field of superconducting quantum circuits, including qubit design, noise properties, qubit control and readout techniques.
Journal ArticleDOI
Quantum circuit learning
TL;DR: In this paper, a classical-quantum hybrid algorithm for machine learning on near-term quantum processors, called quantum circuit learning, is proposed, which can approximate nonlinear functions.
Journal ArticleDOI
Microwave photonics with superconducting quantum circuits
TL;DR: In the past 20 years, impressive progress has been made both experimentally and theoretically in superconducting quantum circuits, which provide a platform for manipulating microwave photons as mentioned in this paper, and many higher-order effects, unusual and less familiar in traditional cavity quantum electrodynamics with natural atoms, have been experimentally observed.
Journal ArticleDOI
Microwave photonics with superconducting quantum circuits
TL;DR: In the past 20 years, impressive progress has been made both experimentally and theoretically in superconducting quantum circuits, which provide a platform for manipulating microwave photons as mentioned in this paper, and many higher-order effects, unusual and less familiar in traditional cavity quantum electrodynamics with natural atoms, have been experimentally observed.
Journal ArticleDOI
A Quantum Engineer's Guide to Superconducting Qubits
Philip Krantz,Philip Krantz,Morten Kjaergaard,Fei Yan,Terry P. Orlando,Simon Gustavsson,William D. Oliver +6 more
TL;DR: In this article, the authors provide an introductory guide to the central concepts and challenges in the rapidly accelerating field of superconducting quantum circuits, including qubit design, noise properties, qubit control, and readout techniques.
References
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Journal ArticleDOI
Matplotlib: A 2D Graphics Environment
TL;DR: Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.
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QuTiP: An open-source Python framework for the dynamics of open quantum systems !
TL;DR: An object-oriented open-source framework for solving the dynamics of open quantum systems written in Python that is particularly well suited to the fields of quantum optics, superconducting circuit devices, nanomechanics, and trapped ions, while also being ideal for use in classroom instruction.
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Driven quantum tunneling
Milena Grifoni,Peter Hänggi +1 more
TL;DR: In this paper, a review on the behavior of driven tunneling in quantum systems is presented, and a variety of tools suitable for tackling the quantum dynamics of explicitly time-dependent Schrodinger equations are introduced.
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Cython: The Best of Both Worlds
TL;DR: Cython is a Python language extension that allows explicit type declarations and is compiled directly to C, addressing Python's large overhead for numerical loops and the difficulty of efficiently using existing C and Fortran code, which Cython can interact with natively.
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Mayavi: 3D Visualization of Scientific Data
TL;DR: Mayavi as mentioned in this paper is a general purpose, open source 3D scientific visualization package that is tightly integrated with the rich ecosystem of Python scientific packages, providing a continuum of tools for developing scientific applications, ranging from interactive and script-based data visualization in Python to full-blown custom end-user applications.