Automated Author ProfileScappucci, Giordano
Kavli Institue of NanoscienceQuTech
Scappucci, Giordano
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supporting data for Wu, YH., Camenzind, L.C., Noiri, A. et al. Hamiltonian phase error in resonantly driven CNOT gate above the fault-tolerant threshold. npj Quantum Inf 10, 8 (2024). https://doi.org/10.1038/s41534-023-00802-9Abstract:Because of their long coherence time and compatibility with industrial foundry processes, electron spin qubits are a promising platform for scalable quantum processors. A full-fledged quantum computer will need quantum error correction, which requires high-fidelity quantum gates. Analyzing and mitigating gate errors are useful to improve gate fidelity. Here, we demonstrate a simple yet reliable calibration procedure for a high-fidelity controlled-rotation gate in an exchange-always-on Silicon quantum processor, allowing operation above the fault-tolerance threshold of quantum error correction. We find that the fidelity of our uncalibrated controlled-rotation gate is limited by coherent errors in the form of controlled phases and present a method to measure and correct these phase errors. We then verify the improvement in our gate fidelities by randomized benchmark and gate-set tomography protocols. Finally, we use our phase correction protocol to implement a virtual, high-fidelity, controlled-phase gate.
Authors
- Yi-Hsien Wu ;
- Camenzind, Leon ;
- Noiri, Akito ;
- Takeda, Kenta ;
- Nakajima, Takashi ;
- Kobayashi, Takashi ;
- Chang, Chien-Yuan ;
- Sammak, Amir ;
- Scappucci, Giordano ;
- Goan, Hsi-Sheng ;
- Tarucha, Seigo
Supporting data for Wu, YH., Camenzind, L.C., Noiri, A. et al. Hamiltonian phase error in resonantly driven CNOT gate above the fault-tolerant threshold. npj Quantum Inf 10, 8 (2024). https://doi.org/10.1038/s41534-023-00802-9Abstract:Because of their long coherence time and compatibility with industrial foundry processes, electron spin qubits are a promising platform for scalable quantum processors. A full-fledged quantum computer will need quantum error correction, which requires high-fidelity quantum gates. Analyzing and mitigating gate errors are useful to improve gate fidelity. Here, we demonstrate a simple yet reliable calibration procedure for a high-fidelity controlled-rotation gate in an exchange-always-on Silicon quantum processor, allowing operation above the fault-tolerance threshold of quantum error correction. We find that the fidelity of our uncalibrated controlled-rotation gate is limited by coherent errors in the form of controlled phases and present a method to measure and correct these phase errors. We then verify the improvement in our gate fidelities by randomized benchmark and gate-set tomography protocols. Finally, we use our phase correction protocol to implement a virtual, high-fidelity, controlled-phase gate.
Authors
- Yi-Hsien Wu ;
- Camenzind, Leon ;
- Noiri, Akito ;
- Takeda, Kenta ;
- Nakajima, Takashi ;
- Kobayashi, Takashi ;
- Chang, Chien-Yuan ;
- Sammak, Amir ;
- Scappucci, Giordano ;
- Goan, Hsi-Sheng ;
- Tarucha, Seigo