Zhong-Xia Shang

Interested in quantum computing；HKU；USTC24

[Zhong-Xia Shang @zhongxiaquantum]

Excited to share our another work on Lindbladian fast-forwarding with relations to quantum phase estimation (QPE) and standard quantum limit-Heisenberg limit transition!

https://t.co/Pl5W1sEYst

[Zhong-Xia Shang @zhongxiaquantum]

In this work, we propose an NISQ quantum algorithm to use the Boson sampling output state as the multi-reference state to enhance the electronic-structure calculation. The key point: free Bosons, when viewed as Fermions, are interacting particles！

[PRX Quantum @PRX_Quantum]

A hybrid quantum-classical algorithm uses linear optics and Boson dynamics to generate multireference states for solving molecular electronic structures. @zhongxiaquantum @chaoyanglu

https://t.co/4g8ov7HMgs

[Chao-Yang Lu @chaoyanglu]

Realization of the Einstein-Bohr Gedankenexperiment using a single atom as tunable recoiling "slit"
#IYQ2025
PRL: https://t.co/F3zuUJ0ueE
PhysMag: https://t.co/bjj6sxOjol

[Zhong-Xia Shang @zhongxiaquantum]

Excited to share that this work has been accepted as a talk at QIP2026 #QIP2026！

[Zhong-Xia Shang @zhongxiaquantum]

Excited to share our another work on Lindbladian fast-forwarding with relations to quantum phase estimation (QPE) and standard quantum limit-Heisenberg limit transition!

https://t.co/Pl5W1sEYst

[Tsinghua University @Tsinghua_Uni]

Prof. Chen Ning Yang, a world-renowned physicist, Nobel Laureate in Physics, Academician of the Chinese Academy of Sciences, Professor at Tsinghua University, and Honorary Director of the Institute for Advanced Study at Tsinghua University, passed away in Beijing due to illness at the age of 103. His life stands as a timeless chapter in human history—one that shines not only for China but for the global community of thinkers and innovators. His legacy will live on forever.

[Zhong-Xia Shang @zhongxiaquantum]

The improvements on the inverse temperature beta is due to the fast-forwarding of Lindbladians while the improvements on qubit number n is due to the exponential norm amplification of viewing Pauli matrices as pure states through vectorization (see also https://t.co/QAIYAhJAUL).

[Zhong-Xia Shang @zhongxiaquantum]

Excited to our work on Lindbladian fast- forwarding !

https://t.co/xbzn3dLIYr

We show the exponential fast-forwarding for a class of Lindbladians and use the algorithm for estimating certain Gibbs state properties with exponential advantages over QSVT in two parameters !

[Zhong-Xia Shang @zhongxiaquantum]

Thanks to all my collaborators! @gnx_kns, Patrick Rebentrost, @A_Aspuru_Guzik, @tongyang93, and @QiZhao_Quantum.

[Zhong-Xia Shang @zhongxiaquantum]

Excited to share our another work on Lindbladian fast-forwarding with relations to quantum phase estimation (QPE) and standard quantum limit-Heisenberg limit transition!

https://t.co/Pl5W1sEYst

[Zhong-Xia Shang @zhongxiaquantum]

Thus, we bridges the standard quantum limit-Heisenberg limit transition to the fast-forwarding ability of Lindbladians. In contrast to Hamiltonian fast-forwarding requiring surpassing the Heisenberg limit, reaching the Heisenberg limit is enough for Lindbladian fast-forwarding!

[Zhong-Xia Shang @zhongxiaquantum]

Thanks my collaborators, Dong An and Changpeng Shao on this project.

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2025 #NobelPrize in Physics to John Clarke, Michel H. Devoret and John M. Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.”

[Zhong-Xia Shang @zhongxiaquantum]

https://t.co/AdazqAWu5r

[Zhong-Xia Shang @zhongxiaquantum]

Excited to have our work “Design nearly optimal quantum algorithm for linear differential equations via Lindbladians” https://t.co/JikyCtFMIk get accepted by Physical Review Letters！

Warm thanks to my collaborators @gnx_kns, Dong An, and @QiZhao_Quantum ！

[Zhong-Xia Shang @zhongxiaquantum]

As a result, combining with state-of-the-art Lindbladian simulation algorithms, we show the quantum algorithm in approach can give near optimal complexity to all major parameters!