Strain effects in phosphorus bound exciton transitions in silicon
Loippo, T., Kanniainen, A., & Muhonen, J. T. (2023). Strain effects in phosphorus bound exciton transitions in silicon. Physical Review Materials, 7(1), Article 016202. https://doi.org/10.1103/PhysRevMaterials.7.016202
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Physical Review MaterialsDate
2023Copyright
©2023 American Physical Society
Donor spin states in silicon are a promising candidate for quantum information processing. One possible donor spin readout mechanism is the bound exciton transition that can be excited optically and creates an electrical signal when it decays. This transition has been extensively studied in the bulk, but in order to scale towards localized spin readout, microfabricated structures are needed for detection. As these electrodes will inevitably cause strain in the silicon lattice, it will be crucial to understand how strain affects the exciton transitions. Here we study the phosphorus donor bound exciton transitions in silicon using hybrid electro-optical readout with microfabricated electrodes. We observe a significant zero-field splitting as well as mixing of the hole states due to strain. We can model these effects assuming the known asymmetry of the hole g factors and the Pikus-Bir Hamiltonian describing the strain. In addition, we describe the temperature, laser power, and light polarization dependence of the transitions. Importantly, the hole mixing should not prevent donor electron spin readout, and using our measured parameters and numerical simulations, we anticipate that hybrid spin readout on a silicon-on-insulator platform should be possible, allowing integration into silicon photonics platforms.
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American Physical Society (APS)ISSN Search the Publication Forum
2476-0455Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/177178979
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Related funder(s)
Research Council of Finland; European CommissionFunding program(s)
Academy Research Fellow, AoF; ERC Starting Grant
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 852428), from Academy of Finland Grant No. 321416, and from the Jenny and Antti Wihuri Foundation.License
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