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Singlet-triplet-state readout in silicon-metal-oxide-semiconductor double quantum dots
- Source :
- Phys. Rev. Applied 21, 034022 (2024)
- Publication Year :
- 2023
-
Abstract
- High-fidelity singlet-triplet state readout is essential for large-scale quantum computing. However, the widely used threshold method of comparing a mean value with the fixed threshold will limit the judgment accuracy, especially for the relaxed triplet state, under the restriction of relaxation time and signal-to-noise ratio. Here, we achieve an enhanced latching readout based on Pauli spin blockade in a Si-MOS double quantum dot device and demonstrate an average singlet-triplet state readout fidelity of 97.59% by the threshold method. We reveal the inherent deficiency of the threshold method for the relaxed triplet state classification and introduce machine learning as a relaxation-independent readout method to reduce the misjudgment. The readout fidelity for classifying the simulated single-shot traces can be improved to 99.67% by machine learning method, better than the threshold method of 97.54% which is consistent with the experimental result. This work indicates that machine learning method can be a strong potential candidate for alleviating the restrictions of stably achieving high-fidelity and high-accuracy singlet-triplet state readout in large-scale quantum computing.<br />Comment: 11 pages,11 figures
- Subjects :
- Condensed Matter - Mesoscale and Nanoscale Physics
Quantum Physics
Subjects
Details
- Database :
- arXiv
- Journal :
- Phys. Rev. Applied 21, 034022 (2024)
- Publication Type :
- Report
- Accession number :
- edsarx.2309.09723
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1103/PhysRevApplied.21.034022