aiqbench analysis
This paper presents a significant advancement in quantum algorithms by generalizing Gaussian elimination circuits from binary fields to any finite field, offering a garbage-free design with optimal Toffoli depth. Such improvements are critical for enhancing the efficiency of linear algebra subroutines essential for large-scale quantum simulation and error correction protocols.
A Quantum Circuit for Gaussian Elimination
arXiv:2609.28901v1 Announce Type: new Abstract: A quantum circuit for Gaussian elimination is developed in this work. While previous quantum implementations of Gaussian elimination were restricted to $\mathrm{GF}(2)$, the proposed design is generalized to any finite field. Compared with previous works in $\mathrm{GF}(2)$, the developed circuit achieves garbage-free construction while retaining the best known asymptotic Toffoli depth up to logarithmic factors.
Abstract:A quantum circuit for Gaussian elimination is developed in this work. While previous quantum implementations of Gaussian elimination were restricted to $\mathrm{GF}(2)$, the proposed design is generalized to any finite field. Compared with previous works in $\mathrm{GF}(2)$, the developed circuit achieves garbage-free construction while retaining the best known asymptotic Toffoli depth up to logarithmic factors.
Quantum Physics (quant-ph); Emerging Technologies (cs.ET)
arXiv:2609.28901 [quant-ph]
(or arXiv:2609.28901v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.28901 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 152 words
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