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Qutrit Randomized Benchmarking

Alexis Morvan, Vinay Ramasesh, Machiel Blok, John Mark Kreikebaum, Kevin P. O’Brien, Larry Chen, Brad Mitchell, Ravi Naik, David I. Santiago, Irfan Siddiqi

2021Physical Review Letters135 citationsDOIOpen Access PDF

Abstract

Ternary quantum processors offer significant potential computational advantages over conventional qubit technologies, leveraging the encoding and processing of quantum information in qutrits (three-level systems). To evaluate and compare the performance of such emerging quantum hardware it is essential to have robust benchmarking methods suitable for a higher-dimensional Hilbert space. We demonstrate extensions of industry standard randomized benchmarking (RB) protocols, developed and used extensively for qubits, suitable for ternary quantum logic. Using a superconducting five-qutrit processor, we find an average single-qutrit process infidelity of 3.8×10^{-3}. Through interleaved RB, we characterize a few relevant gates, and employ simultaneous RB to fully characterize crosstalk errors. Finally, we apply cycle benchmarking to a two-qutrit CSUM gate and obtain a two-qutrit process fidelity of 0.85. Our results present and demonstrate RB-based tools to characterize the performance of a qutrit processor, and a general approach to diagnose control errors in future qudit hardware.

Topics & Concepts

QutritBenchmarkingQubitComputer scienceQuantum computerTernary operationQuantumQuantum gateTheoretical computer scienceTopology (electrical circuits)PhysicsQuantum mechanicsMathematicsProgramming languageBusinessMarketingCombinatoricsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum and electron transport phenomena
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