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Published on: April 12, 2018
Determining the electronic confinement of a subsurface metallic state
Federico Mazzola1, Mark T Edmonds, Kristin Høydalsvik
1Department of Physics, Norwegian University of Science and Technology (NTNU) , N-7491 Trondheim, Norway.
We precisely measured the electronic profile of silicon with phosphorus delta-layers (Si:P δ-layers), crucial for quantum computing. These dopant profiles are exceptionally confined, measuring only 0.40-0.52 nm, validating their potential for advanced electronics.
Area of Science:
- Solid State Physics
- Materials Science
- Quantum Computing
Background:
- Understanding dopant profiles in semiconductors is critical for nanoscale electronics.
- Silicon with phosphorus delta-layers (Si:P δ-layers) offers high conductivity and confinement, making it promising for quantum computer applications.
- Quantitative electronic profiling of these Si:P δ-layers has been a significant challenge.
Purpose of the Study:
- To quantitatively measure the electronic profile of Si:P δ-layers.
- To investigate the nature of confined orbitals within these layers.
- To provide experimental validation for theoretical models.
Main Methods:
- Resonantly enhanced photoemission spectroscopy was employed to probe the electronic structure.
- Real-space breadth of occupied states in Si:P δ-layers was determined.
- Density functional theory (DFT) calculations were used for comparison.
Main Results:
- The occupied valley-split states (1Γ and 2Γ) of Si:P δ-layers exhibit exceptional confinement.
- The electronic profile's full width at half-maximum was measured to be 0.40–0.52 nm.
- Experimental results show excellent agreement with DFT calculations.
- The confined Si 3pz orbital loses its pz-like character, explaining the large valley splitting.
Conclusions:
- Si:P δ-layers possess extremely confined electronic profiles, ideal for quantum computing.
- The observed confinement and valley splitting are well-explained by the interplay between orbital confinement and electronic structure.
- This work provides crucial quantitative data for the development of next-generation semiconductor devices.
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