4.8 Article

Multiprocessing Quantum Computing through Hyperfine Couplings in Endohedral Fullerene Derivatives

Journal

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Volume 61, Issue 12, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202212939

Keywords

Fullerenes; Hyperfine Coupling; Molecular Qudits; Multiprocessing; Quantum Error Correction

Funding

  1. National Key R&D Program of China [2018YFA0306003]
  2. National Natural Science Foundation of China [U20A6002, 22105077, 21927901]
  3. China Postdoctoral Science Foundation Grant [2020M672612]

Ask authors/readers for more resources

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. Subgroups of spin energy levels coursed by the hyperfine couplings can be selectively manipulated, enabling quantum error correction and increasing the correct rate.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available