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HandWiki. Qiskit. Encyclopedia. Available online: https://encyclopedia.pub/entry/31997 (accessed on 22 September 2026).
HandWiki. Qiskit. Encyclopedia. Available at: https://encyclopedia.pub/entry/31997. Accessed September 22, 2026.
HandWiki. "Qiskit" Encyclopedia, https://encyclopedia.pub/entry/31997 (accessed September 22, 2026).
HandWiki. (2022, October 31). Qiskit. In Encyclopedia. https://encyclopedia.pub/entry/31997
HandWiki. "Qiskit." Encyclopedia. Web. 31 October, 2022.
Qiskit
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The content is sourced from: https://handwiki.org/wiki/Software:Qiskit

Qiskit is an open-source software development kit (SDK) for working with quantum computers at the level of circuits, pulses, and algorithms. It provides tools for creating and manipulating quantum programs and running them on prototype quantum devices on IBM Quantum Experience or on simulators on a local computer. It follows the circuit model for universal quantum computation, and can be used for any quantum hardware (currently supports superconducting qubits and trapped ions) that follows this model. Qiskit was founded by IBM Research to allow software development for their cloud quantum computing service, IBM Quantum Experience. Contributions are also made by external supporters, typically from academic institutions. The primary version of Qiskit uses the Python programming language. Versions for Swift and JavaScript were initially explored, though the development for these versions have halted. Instead, a minimal re-implementation of basic features is available as MicroQiskit, which is made to be easy to port to alternative platforms. A range of Jupyter notebooks are provided with examples of quantum computing being used. Examples include the source code behind scientific studies that use Qiskit, as well as a set of exercises to help people to learn the basics of quantum programming. An open source textbook based on Qiskit is available as a university-level quantum algorithms or quantum computation course supplement.

quantum algorithms open-source software circuit model

References

  1. Javadi-Abhari, Ali; Gambetta, Jay M. (July 13, 2018). "Qiskit and its Fundamental Elements". https://medium.com/qiskit/qiskit-and-its-fundamental-elements-bcd7ead80492. 
  2. "Qiskit Terra". https://qiskit.org/Terra. 
  3. "An Open High-Performance Simulator for Quantum Circuits". IBM Research Editorial Staff. May 1, 2018. https://www.ibm.com/blogs/research/2018/05/quantum-circuits/. 
  4. Wood, Christopher J. (December 19, 2018). "Introducing Qiskit Aer: A high performance simulator framework for quantum circuits". https://medium.com/qiskit/qiskit-aer-d09d0fac7759. 
  5. "IBM Q Experience community publishes research" (in en-US). 2018-03-08. https://www.ibm.com/blogs/research/2018/03/ibmq-published-research/. 
  6. Wootton, James R.; Loss, Daniel (2018). "Repetition code of 15 qubits". Physical Review A 97 (5). doi:10.1103/PhysRevA.97.052313. ISSN 2469-9926.  https://dx.doi.org/10.1103%2FPhysRevA.97.052313
  7. Roffe, Joschka; Headley, David; Chancellor, Nicholas; Horsman, Dominic; Kendon, Viv (2018). "Protecting quantum memories using coherent parity check codes". Quantum Science and Technology 3 (3): 035010. doi:10.1088/2058-9565/aac64e. ISSN 2058-9565.  https://dx.doi.org/10.1088%2F2058-9565%2Faac64e
  8. Wang, Yuanhao; Li, Ying; Yin, Zhang-qi; Zeng, Bei (2018). "16-qubit IBM universal quantum computer can be fully entangled". npj Quantum Information 4 (1). doi:10.1038/s41534-018-0095-x. ISSN 2056-6387.  https://dx.doi.org/10.1038%2Fs41534-018-0095-x
  9. Zhukov, A. A.; Remizov, S. V.; Pogosov, W. V.; Lozovik, Yu. E. (2018). "Algorithmic simulation of far-from-equilibrium dynamics using quantum computer". Quantum Information Processing 17 (9). doi:10.1007/s11128-018-2002-y. ISSN 1570-0755.  https://dx.doi.org/10.1007%2Fs11128-018-2002-y
  10. Qiskit/qiskit-ignis, Qiskit, https://github.com/Qiskit/qiskit-ignis, retrieved 2021-12-21 
  11. "Ignis provides tools for quantum hardware verification, noise characterization, and error correction.". https://github.com/Qiskit/qiskit-ignis/. 
  12. "Qiskit Algorithms Migration Guide — Qiskit 0.28.0 documentation". https://qiskit.org/documentation/aqua_tutorials/Qiskit%20Algorithms%20Migration%20Guide.html. 
  13. Qiskit/qiskit-optimization, Qiskit, 2021-07-13, https://github.com/Qiskit/qiskit-optimization, retrieved 2021-07-14 
  14. Qiskit/qiskit-finance, Qiskit, 2021-07-13, https://github.com/Qiskit/qiskit-finance, retrieved 2021-07-14 
  15. Qiskit/qiskit-machine-learning, Qiskit, 2021-07-13, https://github.com/Qiskit/qiskit-machine-learning, retrieved 2021-07-14 
  16. Qiskit/qiskit-nature, Qiskit, 2021-07-13, https://github.com/Qiskit/qiskit-nature, retrieved 2021-07-14 
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