首页|Experimental quantum state compression from two identical qubits to a qutrit

Experimental quantum state compression from two identical qubits to a qutrit

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In the realm of modern information technology,data compression technology occupies a pivotal position.With advancements in quantum information technology,the need to compress large-scale qubits ensembles has become urgent,aiming to reduce the demand on quantum storage resources.However,existing quantum state compression schemes generally face a limitation:the particles before and after compression must reside in the same dimensional space.In specific scenarios,compressing qubits into particles of higher dimensions not only enhances the efficiency of quantum state compression but also further reduces the usage of quantum storage resources.Here we experimentally demonstrated a quantum state compression between particles of different dimensions,successfully compressing two qubits into a single qutrit.The average fidelity of the resulting qutrit with the ideal quantum state is 0.8835.Our study may have potential applications in future quantum information,such as increasing quantum communication bandwidth and reducing storage resource consumption in quantum computing.

quantum state compressionquantum information technologyoptics

Qiao Xu、Lin-Xiang Zhou、Tian-Feng Feng、Shang-Feng Qiu、Si-Wu Li、Wu-Ji Zhang、Hui Luo、Xiao-Qi Zhou

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State Key Laboratory of Optoelectronic Materials and Technologies and School of Physics,Sun Yat-sen University,Guangzhou 510000,China

Hefei National Laboratory,Hefei 230088,China

National Natural Science Foundation of ChinaKey Research and Development Program of Guangdong Province of ChinaKey Research and Development Program of Guangdong Province of ChinaInnovation Program for Quantum Science and TechnologyNational Young 1000 Talents Plan and Hefei National Laboratory

619741682018B0303290012018B0303250012021ZD0300702

2024

10.1007/s11433-023-2361-6

中国科学:物理学 力学 天文学(英文版)
中国科学院

中国科学:物理学 力学 天文学(英文版)

CSTPCD
影响因子：0.91
ISSN：1674-7348
年,卷(期)：2024.67(7)