Pulse family optimization for parametrized quantum gates using spectral clustering
Robert de Keijzer, Jurgen Snijders, Andr\'e Carvalho, Servaas, Kokkelmans

TL;DR
This paper introduces a spectral clustering method to organize high-fidelity quantum gate pulses into families, enabling more reliable interpolation and improved gate performance in parametrized quantum circuits.
Contribution
The work presents a novel spectral clustering approach to categorize optimized pulses into families, ensuring interpolations stay within high-fidelity solution groups.
Findings
Spectral clustering effectively groups pulses into families.
Interpolating within the same pulse family yields higher fidelities.
Application to Rydberg and Cat qubits demonstrates practical benefits.
Abstract
Parametrized gate circuits are used in plentiful applications in the current NISQ era of quantum computing. These parametrized gates are chiefly implemented using analytically found pulse protocols, often yielding suboptimal gate times, and consequently, fidelities. Alternatively, gate optimization algorithms are designed to construct high fidelity pulses for individual, fixed points in continuous parameter space. Gates for intermediate parameters can subsequently be found by some form of interpolation between previously constructed pulses. Nevertheless, it is not guaranteed (as with analytic protocols) that the pulses found by the optimization algorithms belong to the same \textit{family} of solutions and thus show resemblance. Interpolation between two pulses of differing solution families often leads to high infidelities, as the pulse strays away from the minimum in the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Advancements in Semiconductor Devices and Circuit Design · Optical Network Technologies
