Noise-Aware Circuit Compilations for a Continuously Parameterized Two-Qubit Gateset

Fuente: arXiv
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Hauptverfasser: Yale, Christopher G., Rines, Rich, Omole, Victory, Thotakura, Bharath, Burch, Ashlyn D., Chow, Matthew N. H., Ivory, Megan, Lobser, Daniel, McFarland, Brian K., Revelle, Melissa C., Clark, Susan M., Gokhale, Pranav
Format: Preprint
Veröffentlicht: 2024
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author Yale, Christopher G.
Rines, Rich
Omole, Victory
Thotakura, Bharath
Burch, Ashlyn D.
Chow, Matthew N. H.
Ivory, Megan
Lobser, Daniel
McFarland, Brian K.
Revelle, Melissa C.
Clark, Susan M.
Gokhale, Pranav
author_facet Yale, Christopher G.
Rines, Rich
Omole, Victory
Thotakura, Bharath
Burch, Ashlyn D.
Chow, Matthew N. H.
Ivory, Megan
Lobser, Daniel
McFarland, Brian K.
Revelle, Melissa C.
Clark, Susan M.
Gokhale, Pranav
contents State-of-the-art noisy-intermediate-scale quantum (NISQ) 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 (QSCOUT) to study noise-aware compilations focused on continuously parameterized two-qubit $\mathcal{ZZ}$ gates (based on the Mølmer-Sørensen interaction) using $\textbf{Superstaq}$, a quantum software platform for hardware-aware circuit compiler optimizations. We discuss the realization of $\mathcal{ZZ}$ 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 $\mathcal{ZZ}$ 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 total entangling angle of the operations, focusing the heaviest $\mathcal{ZZ}$ angle participation on the best performing gate pairs, and circuit approximation to remove the least impactful $\mathcal{ZZ}$ 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_01094
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Noise-Aware Circuit Compilations for a Continuously Parameterized Two-Qubit Gateset
Yale, Christopher G.
Rines, Rich
Omole, Victory
Thotakura, Bharath
Burch, Ashlyn D.
Chow, Matthew N. H.
Ivory, Megan
Lobser, Daniel
McFarland, Brian K.
Revelle, Melissa C.
Clark, Susan M.
Gokhale, Pranav
Quantum Physics
State-of-the-art noisy-intermediate-scale quantum (NISQ) 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 (QSCOUT) to study noise-aware compilations focused on continuously parameterized two-qubit $\mathcal{ZZ}$ gates (based on the Mølmer-Sørensen interaction) using $\textbf{Superstaq}$, a quantum software platform for hardware-aware circuit compiler optimizations. We discuss the realization of $\mathcal{ZZ}$ 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 $\mathcal{ZZ}$ 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 total entangling angle of the operations, focusing the heaviest $\mathcal{ZZ}$ angle participation on the best performing gate pairs, and circuit approximation to remove the least impactful $\mathcal{ZZ}$ 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.
title Noise-Aware Circuit Compilations for a Continuously Parameterized Two-Qubit Gateset
topic Quantum Physics
url https://arxiv.org/abs/2411.01094