Multiprocessing Quantum Computing through Hyperfine Couplings in Endohedral Fullerene Derivatives

Autor: Peng‐Xiang Fu, Shen Zhou, Zheng Liu, Cong‐Hui Wu, Yu‐Hui Fang, Zhi‐Rong Wu, Xing‐Quan Tao, Jia‐Yue Yuan, Ye‐Xin Wang, Song Gao, Shang‐Da Jiang
Rok vydání: 2022
Předmět:
Zdroj: Angewandte Chemie. 134
ISSN: 1521-3757
0044-8249
DOI: 10.1002/ange.202212939
Popis: Magnetic molecules have shown great potential in quantum information processing due to the chemical tunablity of their quantum behaviors. Chemical derivatives of endohedral nitrogen fullerenes with long coherence time and rich energy levels were synthesized and studied to demonstrate the ability of multiprocessing in quantum information using electron magnetic resonance. After initialization of the 12-levelled spin system, subgroups of spin energy levels coursed by the hyperfine couplings can be selectively manipulated. The cooperatively combining of the parallel calculations enabled quantum error correction, increasing the correct rate by up to 17.82 %. Also, different subgroups of transitions divided by hyperfine coupling can be treated as independent qubits, and multi-task quantum computing were realized by performing Z-gate and X-gate simultaneously, which accelerates the overall gating speed.
Databáze: OpenAIRE
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