Quantum computing with Qiskit
Ali Javadi-Abhari, Matthew Treinish, Kevin Krsulich, Christopher J., Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D. Nation, Lev S., Bishop, Andrew W. Cross, Blake R. Johnson, and Jay M. Gambetta

TL;DR
Qiskit is a comprehensive software toolkit for quantum computing that enables users to design, optimize, and execute quantum algorithms on real and simulated quantum hardware, supporting advanced features like dynamic circuits and ecosystem extensions.
Contribution
This paper introduces Qiskit, a versatile and scalable software development kit for quantum computing, highlighting its architecture, capabilities, and ecosystem for diverse quantum applications.
Findings
Demonstrated end-to-end quantum workflow for condensed matter physics problems
Showcased circuit optimization and scalability features of Qiskit
Discussed ecosystem tools and future directions for Qiskit
Abstract
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.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
