Quick Navigation
Topics
Trapped Ion Quantum Computing
Zero-Noise Extrapolation via Cyclic Permutations of Quantum Circuit Layouts
arXiv
Authors: Zahar Sayapin, Daniil Rabinovich, Nikita Korolev, Kirill Lakhmanskiy
Year
2025
Paper ID
17634
Status
Preprint
Abstract Read
~2 min
Abstract Words
185
Citations
N/A
Abstract
Increasing the utility of currently available Noisy Intermediate-Scale Quantum (NISQ) devices requires developing efficient methods to mitigate hardware errors, taking into account the constraints of these devices such as medium number of qubits and limited connectivity between them. In this work we propose a novel Cyclic Layout Permutations based Zero Noise Extrapolation (CLP-ZNE) protocol for such a task. The method leverages the inherent non-uniformity of gate errors in NISQ hardware and exploits symmetries of quantum circuits with one-dimensional connectivity to extrapolate the expectation value, averaged over cyclic circuit layout permutations, to the level of zero noise. In contrast to the previous layout permutation based approaches, for n qubit circuit CLP-ZNE requires measurements of only O(n) different circuit layouts to reconstruct the noiseless expected value. When benchmarked against noise channels modeling the IBM Torino quantum computer, the method reduces a typical expectation value error by an order of magnitude, depending on the protocol specifications. By employing a noise model derived from real hardware specifications, including both depolarizing and T1/T2 relaxation processes, these results give evidence for the applicability of CLP-ZNE to present-day NISQ processors.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2025 reference point for readers tracking recent quantum research.
- Increasing the utility of currently available Noisy Intermediate-Scale Quantum (NISQ) devices requires developing efficient methods to mitigate hardware errors, taking into...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.