Noise-aware circuit compilations for a continuously parameterized two-qubit gateset Article Swipe
Christopher G. Yale
,
Rich Rines
,
Victory Omole
,
Bharath Thotakura
,
Ashlyn D. Burch
,
Matthew N. H. Chow
,
Megan Ivory
,
Daniel Lobser
,
Brian McFarland
,
Melissa Revelle
,
Susan Clark
,
Pranav Gokhale
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1103/3cmg-5rk7
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1103/3cmg-5rk7
State-of-the-art noisy-intermediate-scale quantum processors are currently implemented across a variety of hardware platforms, each with their own distinct gatesets. As such, circuit compilation should not only be aware of but also deeply connect to the native gateset and noise properties of each. Trapped-ion processors are one such platform that provides a gateset that can be continuously parameterized across both one- and two-qubit gates. Here we use the Quantum Scientific Computing Open User Testbed to study noise-aware compilations focused on continuously parameterized two-qubit ZZ gates (based on the Mølmer-Sørensen interaction) using , a quantum software platform for hardware-aware circuit compiler optimizations. We discuss the realization of ZZ gates with arbitrary angle on the all-to-all connected trapped-ion system. Then we discuss a variety of different compiler optimizations that innately target these ZZ gates and their noise properties. These optimizations include moving from a restricted maximally entangling gateset to a continuously parameterized one, swap mirroring to further reduce the total entangling angle of the operations, focusing the heaviest ZZ angle participation on the best-performing gate pairs, and circuit approximation to remove the least impactful ZZ gates. We demonstrate these compilation approaches on the hardware with randomized quantum volume circuits, observing the potential to realize a larger quantum volume as a result of these optimizations. Using differing yet complementary analysis techniques, we observe the distinct improvements in system performance provided by these noise-aware compilations and study the role of stochastic and coherent error channels for each compilation choice.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1103/3cmg-5rk7
- OA Status
- hybrid
- References
- 58
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404351223Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1103/3cmg-5rk7Digital Object Identifier
- Title
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Noise-aware circuit compilations for a continuously parameterized two-qubit gatesetWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-14Full publication date if available
- Authors
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Christopher G. Yale, Rich Rines, Victory Omole, Bharath Thotakura, Ashlyn D. Burch, Matthew N. H. Chow, Megan Ivory, Daniel Lobser, Brian McFarland, Melissa Revelle, Susan Clark, Pranav GokhaleList of authors in order
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https://doi.org/10.1103/3cmg-5rk7Publisher landing page
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.1103/3cmg-5rk7Direct OA link when available
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Parameterized complexity, Noise (video), Qubit, Computer science, Electronic engineering, Speech recognition, Algorithm, Physics, Artificial intelligence, Engineering, Image (mathematics), Quantum mechanics, QuantumTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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