Testing the Robustness of Robust Phase Estimation

Abstract

The Robust Phase Estimation (RPE) protocol was designed to be an efficient and robust way to calibrate quantum operations. The robustness of RPE refers to its ability to estimate a single parameter, usually gate amplitude, even when other parameters are poorly calibrated or when the gate experiences significant errors. Here we demonstrate the robustness of RPE to errors that affect initialization, measurement, and gates. In each case, the error threshold at which RPE begins to fail matches quantitatively with theoretical bounds. We conclude that RPE is an effective and reliable tool for calibration of one-qubit rotations and that it is particularly useful for automated calibration routines and sensor tasks.

arXiv comment7 pages, 6 figures

References in corpus (13)

• An ${}^{27}$Al${}^{+}$ quantum-logic clock with systematic uncertainty below $10^{-18}$
• Benchmarking an 11-qubit quantum computer
• Manipulation and Detection of a Trapped Yb+ Ion Hyperfine Qubit
• Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography
• Quantum metrology with a scanning probe atom interferometer
• Robust Calibration of a Universal Single-Qubit Gate-Set via Robust Phase Estimation
• High Speed, High Fidelity Detection of an Atomic Hyperfine Qubit
• Entanglement-based dc magnetometry with separated ions
• Optimization of a solid-state electron spin qubit using Gate Set Tomography
• Ball-grid array architecture for microfabricated ion traps
• Experimental demonstration of cheap and accurate phase estimation
• Physical qubit calibration on a directed acyclic graph
• Implementation and characterization of a controllable dephasing channel based on coupling polarization and spatial degrees of freedom of light

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• Noise-resilient and resource-efficient hybrid algorithm for robust quantum gap estimation