Automatic Qubit Characterization and Gate Optimization with QubiC
Yilun Xu, Gang Huang, Jan Balewski, Ravi K. Naik, Alexis Morvan, Brad, Mitchell, Kasra Nowrouzi, David I. Santiago, Irfan Siddiqi

TL;DR
This paper introduces QubiC, an FPGA-based system that automates qubit characterization and gate optimization, significantly simplifying calibration processes for large-scale quantum computers and achieving high-fidelity gates.
Contribution
The paper presents a novel automatic calibration protocol using QubiC, enabling efficient qubit and gate tuning with high fidelity on superconducting quantum processors.
Findings
Achieved single-qubit gate infidelity of 4.9e-4
Achieved two-qubit gate infidelity of 1.4e-2
Demonstrated effective calibration on a state-of-the-art transmon processor
Abstract
As the size and complexity of a quantum computer increases, quantum bit (qubit) characterization and gate optimization become complex and time-consuming tasks. Current calibration techniques require complicated and verbose measurements to tune up qubits and gates, which cannot easily expand to the large-scale quantum systems. We develop a concise and automatic calibration protocol to characterize qubits and optimize gates using QubiC, which is an open source FPGA (field-programmable gate array) based control and measurement system for superconducting quantum information processors. We propose mutli-dimensional loss-based optimization of single-qubit gates and full XY-plane measurement method for the two-qubit CNOT gate calibration. We demonstrate the QubiC automatic calibration protocols are capable of delivering high-fidelity gates on the state-of-the-art transmon-type processor…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
