AQC-Tensor Qiskit addon¶
This addon enables a Qiskit user to perform approximate quantum compilation using tensor networks, a technique that was introduced in arXiv:2301.08609.
Specifically, this package allows one to compile the initial portion of a circuit into a nearly equivalent approximation of that circuit, but with much fewer layers.
It has been tested primarily on Trotter circuits to date. It may, however, be applicable to any class of circuits where one has access to both:
A great intermediate state, known as the “target state,” that can be achieved by tensor-network simulation; and,
A good circuit that prepares an approximation to the target state, but with fewer layers when compiled to the target hardware device.
(Figure is taken from arXiv:2301.08609.)
Developer guide¶
The source code to this package is available on GitHub.
The developer guide is located at CONTRIBUTING.md in the root of this project’s repository.
Citing this project¶
If you use this package in your research, please cite the reference(s) provided in the CITATON.bib file in this project’s repository:
@software{qiskit-addon-aqc-tensor,
author = {
James R. Garrison
and Kate Marshall
and Ibrahim Shehzad
and Kevin J. Sung
and Caleb Johnson
and Max Rossmannek
and Bryce Fuller
and Jennifer R. Glick
and Albert Akhriev
and Sergiy Zhuk
and Niall F. Robertson
},
title = {{Qiskit addon: Approximate Quantum Compilation with Tensor Networks}},
howpublished = {\url{https://github.com/Qiskit/qiskit-addon-aqc-tensor}},
doi = {10.5281/zenodo.14064353},
year = {2024}
}
@ARTICLE{aqc-tensor-research,
author = {{Robertson}, Niall F. and {Akhriev}, Albert and {Vala}, Jiri and {Zhuk}, Sergiy},
title = "{Approximate Quantum Compiling for Quantum Simulation: A Tensor Network based approach}",
journal = {arXiv e-prints},
keywords = {Quantum Physics},
year = 2023,
month = jan,
doi = {10.48550/arXiv.2301.08609},
archivePrefix = {arXiv},
eprint = {2301.08609},
primaryClass = {quant-ph}
}