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Published on: June 8, 2018
Solovay-Kitaev decomposition strategy for single-qubit channels
Dong-Sheng Wang1, Dominic W Berry, Marcos C de Oliveira
1Institute for Quantum Science and Technology, University of Calgary, Alberta T2N 1N4, Canada.
This study introduces a new quantum computing method to approximate single-qubit channels using fewer controlled-not (CNOT) gates. This advancement simplifies quantum simulations and is achievable with current experimental capabilities.
Area of Science:
- Quantum Information Science
- Quantum Computing Algorithms
Background:
- Approximating quantum operations is crucial for quantum computation.
- Existing methods for single-qubit channel simulation are resource-intensive.
Purpose of the Study:
- To develop an efficient method for approximating single-qubit channels.
- To reduce the number of controlled-not (CNOT) gates required for simulation.
Main Methods:
- Inspired by the Solovay-Kitaev decomposition.
- Decomposing single-qubit channels into a convex combination of "quasiextreme" channels.
- Utilizing single-qubit gates and the controlled-not (CNOT) gate.
Main Results:
- A novel method for approximating any single-qubit channel is presented.
- The new method requires only one CNOT gate, a significant reduction from previous techniques.
- This approach is compatible with current experimental quantum computing.
Conclusions:
- The proposed method offers a more efficient way to simulate single-qubit channels.
- The reduced gate count makes complex quantum simulations more feasible.
- This work advances the practical implementation of quantum error correction and simulation.
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