A two-stage PINN optimizes pulse sequences for silicon exchange-only spin qubits to achieve over 99% noise-averaged fidelity while shortening pulse durations by 20-40%.
Tyryshkin, Shinichi Tojo, John J
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Neural-network autotuning combined with FPGA-accelerated RF reflectometry reduces stability-diagram acquisition time by 9.8x and total single-electron-regime initialization time by 2.2x in a SiGe quantum dot.
citing papers explorer
-
Exchange-Only Silicon Based Spin Qubits: Charge Noise, PINN Optimised Pulse Sequences,and Gate-Level Fidelity
A two-stage PINN optimizes pulse sequences for silicon exchange-only spin qubits to achieve over 99% noise-averaged fidelity while shortening pulse durations by 20-40%.
-
Rapid Autotuning of a SiGe Quantum Dot into the Single-Electron Regime with Machine Learning and RF-Reflectometry FPGA-Based Measurements
Neural-network autotuning combined with FPGA-accelerated RF reflectometry reduces stability-diagram acquisition time by 9.8x and total single-electron-regime initialization time by 2.2x in a SiGe quantum dot.