Quantum computing with Qiskit

Fuente: arXiv
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Bibliographic Details
Main Authors: Javadi-Abhari, Ali, Treinish, Matthew, Krsulich, Kevin, Wood, Christopher J., Lishman, Jake, Gacon, Julien, Martiel, Simon, Nation, Paul D., Bishop, Lev S., Cross, Andrew W., Johnson, Blake R., Gambetta, Jay M.
Format: Preprint
Published: 2024
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author Javadi-Abhari, Ali
Treinish, Matthew
Krsulich, Kevin
Wood, Christopher J.
Lishman, Jake
Gacon, Julien
Martiel, Simon
Nation, Paul D.
Bishop, Lev S.
Cross, Andrew W.
Johnson, Blake R.
Gambetta, Jay M.
author_facet Javadi-Abhari, Ali
Treinish, Matthew
Krsulich, Kevin
Wood, Christopher J.
Lishman, Jake
Gacon, Julien
Martiel, Simon
Nation, Paul D.
Bishop, Lev S.
Cross, Andrew W.
Johnson, Blake R.
Gambetta, Jay M.
contents We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-end workflow for solving a problem in condensed matter physics on a quantum computer that serves to highlight some of Qiskit's capabilities, for example the representation and optimization of circuits at various abstraction levels, its scalability and retargetability to new gates, and the use of quantum-classical computations via dynamic circuits. Lastly, we discuss some of the ecosystem of tools and plugins that extend Qiskit for various tasks, and the future ahead.
format Preprint
id arxiv_https___arxiv_org_abs_2405_08810
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantum computing with Qiskit
Javadi-Abhari, Ali
Treinish, Matthew
Krsulich, Kevin
Wood, Christopher J.
Lishman, Jake
Gacon, Julien
Martiel, Simon
Nation, Paul D.
Bishop, Lev S.
Cross, Andrew W.
Johnson, Blake R.
Gambetta, Jay M.
Quantum Physics
Emerging Technologies
We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-end workflow for solving a problem in condensed matter physics on a quantum computer that serves to highlight some of Qiskit's capabilities, for example the representation and optimization of circuits at various abstraction levels, its scalability and retargetability to new gates, and the use of quantum-classical computations via dynamic circuits. Lastly, we discuss some of the ecosystem of tools and plugins that extend Qiskit for various tasks, and the future ahead.
title Quantum computing with Qiskit
topic Quantum Physics
Emerging Technologies
url https://arxiv.org/abs/2405.08810