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Abstract:
A team led by Academician GUO Guangcan of the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), with the collaborative efforts of the University of Manchester, and the Nanyang Technological University, has achieved new advancements in the application of quantum technology in modeling. complex system. The results were published in Nature Communications on May 6.

A single quantum bit achieves complex system modeling

Hefei, China | Posted on June 9, 2023

Stochastic modeling can help us predict the future behavior of complex, non-Markovian processes. To simulate a non-Markovian process, memory is required to store large amounts of observed information about the system’s past. However, it remains elusive to reduce memory while ensuring prediction accuracy.

The researchers demonstrated that their quantum model based on photonic systems can simulate any process in a non-Markovian stochastic process using only one quantum bit, even in the presence of experimental noise. The quantum model is able to make more accurate predictions of future behavior than the optimal classical model with the same memory dimension.

This study successfully demonstrates the benefits of quantum storage technology for modeling non-Markovian processes in complex systems. This is also a key step towards demonstrating the scalability and robustness advantages of quantum memory.

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Contact:
Jane Fans
China University of Science and Technology

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