Machine learning identification of symmetrized base states of Rydberg atoms

Chong, Daryl Ryan; Kim, Minhyuk; Ahn, Jaewook; Jeong, Heejeong

doi:10.1007/s11467-021-1099-0

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Compared to the best-known classical information processing, quantum information processing (QIP) [1], adhered to the principles of quantum mechanics, has great advantages in secure communication [2][3][4][5][6][7], algorithm [8][9][10], and machine learning [11][12][13][14], due to its great security and super-fast computing speed. Basic quantum logic gates are the building block of quantum computing, so they are regarded as an important unit of QIP.…”

Section: Introductionmentioning

confidence: 99%

Error-detected three-photon hyperparallel Toffoli gate with state-selective reflection

Fan

2022

Front. Phys.

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We present an error-detected hyperparallel Toffoli (hyper-Toffoli) gate for a three-photon system based on the interface between polarized photon and cavity-nitrogen-vacancy(NV) center system. This hyper-Toffoli gate can be used to perform double Toffoli gate operations simultaneously on both the polarization and spatial-mode degrees of freedom (DoFs) of a three-photon system with a low decoherence, shorten operation time, and less quantum resources required, in compared with those on two independent three-photon systems in one DoF only. As the imperfect cavity-NV-center interactions are transformed into the detectable failures rather than infidelity based on the heralding mechanism of detectors, a near-unit fidelity of the quantum hyper-Toffoli gate can be implemented. By recycling the procedures, the efficiency of our protocol for the hyper-Toffoli gate is improved further. Meanwhile, the evaluation of gate performance with achieved experiment parameters shows that it is feasible with current experimental technology and provides a promising building block for quantum compute.

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