Abstract
| Original language | English |
|---|---|
| Article number | 075417 |
| Journal | Physical Review B |
| Volume | 106 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 15 Aug 2022 |
Funding
We acknowledge support from the Key-Area Research and Development Program of GuangDong Province (Grant No. 2018B030326001), the National Natural Science Foundation of China (Grant No. 11874312), the Research Grants Council of Hong Kong (Grants No. 11303617, No. 11304018, and No. 11304920), and the Guangdong Innovative and Entrepreneurial Research Team Program (Grant No. 2016ZT06D348). The calculations involved in this work were mostly performed on the Tianhe-2 supercomputer at the National Supercomputer Center in Guangzhou, China.
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: Chan, G. X., & Wang, X. (2022). Robust entangling gate for capacitively coupled few-electron singlet-triplet qubits. Physical Review B, 106(7), [075417]. https://doi.org/10.1103/PhysRevB.106.075417. The copyright of this article is owned by American Physical Society.
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'Robust entangling gate for capacitively coupled few-electron singlet-triplet qubits'. Together they form a unique fingerprint.Projects
- 3 Finished
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GRF: Quantum Control through Reinforcement Learning
WANG, X. S. (Principal Investigator / Project Coordinator)
1/01/21 → 12/06/25
Project: Research
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GRF: Robust Control of Quantum-dot Spin Qubits from Machine Learning
WANG, X. S. (Principal Investigator / Project Coordinator)
1/01/19 → 8/02/23
Project: Research
-
GRF: Theory on Robust Manipulation of Silicon-based Spin Qubits
WANG, X. S. (Principal Investigator / Project Coordinator)
1/01/18 → 19/08/21
Project: Research
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