Silicon Quantum Electronics
By J. Verduijn. 2012
480 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/1b51f4ab89c5b558623cdcdca9ce91af43384258
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Göran Wendin
- Mikhail D. Lukin
- Hartmut Neven
- Menno Veldhorst
- Vadim N. Smelyanskiy
- Lieven M. K. Vandersypen
- Eric Kessler
- H. Watanabe
In Computational Theory and Mathematics
- Menno Veldhorst
- Mikhail D. Lukin
- Eric Kessler
- H. Watanabe
- Hartmut Neven
- Austin G. Fowler
- John M. Martinis
- Kohei M. Itoh
Citations in the corpus
- Cryogenic MOS Transistor Model (2018, background): “devices controlled by cryo-CMOS circuits can bring new functionality to existing computing technologies [9], [10].”
- Universal Quantum Transducers Based on Surface Acoustic Waves (2015, background): “Moreover, with a LiNbO3 film on top of the surface, nonpiezoelectric materials such as Si or Ge could also be used to host the quantum dots [50].”
- Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits (2021, background): “Our findings are also relevant for other solid-state quantum systems, such as spin qubits that would be sensitive to the induced charges [26], and Majorana fermion devices that would be sensitive to induced quasiparticle population [27, 28].”
- Materials challenges and opportunities for quantum computing hardware (2021, background): “This interface is engineered through strain, confinement, and electric fields to lift the valley degeneracy, which is crucial for achieving long coherence times ( 185 ) and ensuring spin-to-chargeconversion efficiency( 186 ).”
- Qubits made by advanced semiconductor manufacturing (2021, background): “This reduces the hyperfine interaction of the qubits with nuclear spins in the host material and thus increases the qubit coherence [20].”
- Isotope engineering of silicon and diamond for quantum computing and sensing applications (2014, background): “Silicon quantum computation Silicon-based quantum computer proposals A review on the developments of silicon-based quantum computers was published recently.([16]) This subsection provides a”