Warsaw Quantum Computing Group
We invite you to attend (remote-only) Episode XLIII of the Warsaw Quantum Computing Group meetings!
4.07.2022, 18:00 CEST
Jan Tuziemski & Filip Maciejewski
"Efficient learning and benchmarking of readout noise cross-talk models in near-term quantum devices"
Video recording: https://www.youtube.com/watch?v=svQBt2pO8m0
Abstract: Errors occurring during measurement of qubits are a significant source of noise in current quantum computing devices. Characterization of those errors is of crucial importance for improvements of computation quality, since it allows to use error mitigation. However, a complete characterization of quantum detectors scales exponentially with the number of qubits, and becomes infeasible for large devices. In this talk we will introduce an efficient algorithm that allows to characterize a correlated clusters noise model of measurement errors, and present experimental analysis of cross-talk effects in the readout noise of 80- and 127-qubit systems of Rigetti's Aspen-M and IBM's Washington devices.
This meeting is organized by the Quantum AI Foundation.
Honorary Patrons: ICM, Students’ Association for Computer Science, Machine Learning Society at MIM UW, QPoland, ML in PL Association, OM PTI, WDI, AleQCG, Quantumz.io, Digital Poland Foundation, Digital Festival, Candela, Sano, Qubit - Students' Association at the Wrocław University of Technology, Quantum.Tech, Gitex Global