On the robustness of the hybrid qubit computational gates through simulated randomized benchmarking protocols
| Autor: | Marco De Michielis, Elena Ferraro |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Quantum information
Computer science Gaussian lcsh:Medicine FOS: Physical sciences 01 natural sciences Article 010305 fluids & plasmas symbols.namesake Quantum gate Computer Science::Emerging Technologies Robustness (computer science) 0103 physical sciences Hardware_ARITHMETICANDLOGICSTRUCTURES lcsh:Science 010306 general physics Quantum Quantum computer Quantum Physics Multidisciplinary Quantum dots lcsh:R Benchmarking Qubit symbols lcsh:Q Quantum Physics (quant-ph) Qubits Algorithm |
| Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020) |
| DOI: | 10.48550/arxiv.2011.01585 |
| Popis: | One of the main challenges in building a quantum processor is to characterize the environmental noise. Noise characterization can be achieved by exploiting different techniques, such as randomization where several sequences of random quantum gates are applied to the qubit under test to derive statistical characteristics about the affecting noises. A scalable and robust algorithm able to benchmark the full set of Clifford gates using randomization techniques is called randomized benchmarking. In this study, we simulated randomized benchmarking protocols in a semiconducting all-electrical three-electron double-quantum dot qubit, i.e. hybrid qubit, under different error models, that include quasi-static Gaussian and the more realistic 1/f noise model, for the input controls. The average error of specific quantum computational gates is extracted through interleaved randomized benchmarking obtained including Clifford gates between the gate of interest. It provides an estimate of the fidelity as well as theoretical bounds for the average error of the gate under test. Comment: 10 pages, 8 figures |
| Databáze: | OpenAIRE |
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