AI 中文总结
该研究推广了Bärtschi与Eidenbenz的Dicke态制备算法，成功确定性制备以分支路径和二元自旋树为特征的任意自旋本征函数，还开发了重构这些自旋态的对应经典算法，为相关量子多体物理等研究提供支持。
AI 中文摘要
具有守恒总自旋的量子态，即自旋本征函数，对研究量子化学和量子多体物理问题十分重要。自旋本征函数的典型类别是达到最大自旋的Dicke态。尽管已有许多高效的量子算法用于制备Dicke态，但目前尚不清楚是否能确定性地制备任意自旋本征函数。我们将Bärtschi和Eidenbenz的Dicke态制备算法推广，成功制备了以分支路径和二元自旋树为特征的任意自旋本征函数。作为副产品，我们还开发了用于重构所有这些自旋态的对应经典算法。
英文摘要
Quantum states with conserved total spins, or spin eigenfunctions, are important for studying quantum chemistry and quantum manybody physics problems. A typical class of spin eigenfunctions are Dicke states, which attain maximal spins. While we already have many efficient quantum algorithms to prepare Dicke states, it is not yet clear if we could do so for arbitrary spin eigenfunctions deterministically. Generalizing Bärtschi and Eidenbenz's elegant algorithms for Dicke state preparation, we successfully prepare arbitrary spin eigenfunctions characterized by branching paths and binary spin trees. As a byproduct, we also develop the corresponding classical algorithms to reconstruct all these spin states.
Comments38 pages, 14 figures
