Spin-based Quantum Gate Lab

Simulate the device-level characteristics of spin-based quantum gates.

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Archive Version 1.0
Published on 26 Apr 2019 All versions

doi:10.21981/VJSR-DA97 cite this

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Abstract

Spin Qugate is a set of python codes that calculate the device-level characteristics of spin-based quantum gates. Single-qubit rotational gates and two-qubit controlled-phase gate can be simulated, which form a complete set of quantum gates for universal quantum computing. The tool can simulate time evolution, compute delay and fidelity, and perform quantum process tomography for the quantum gates. The effect of dephasing can be simulated by inputting a spin dephasing time.

 

Examples of the simulation are provided in supporting docs.

References

 

[1] T. Wu and and J. Guo, "Computational Assessment of Silicon Quantum Gate Based on Detuning Mechanism for Quantum Computing", IEEE Trans. Electron Devices, vol. 65, p. 5530, 2018

[2] T. Meunier, V. E. Calado, and L. M. K. Vandersypen,"Efficient controlled-phase gate for single-spin qubits in quantum dots", Phys. Rev. B 83, 121403(R), 2011

 

Cite this work

Researchers should cite this work as follows:

  • Tong Wu, Daniel Volya, Jing Guo (2024), "Spin-based Quantum Gate Lab," https://nanohub.org/resources/spinqugate. (DOI: 10.21981/VJSR-DA97).

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Tags

  1. quantum
  2. quantum computing
  3. quantum dots
  4. quantum gate
  5. quantum technology
  6. qubits
  7. semiconductors
  8. spin