Measurement-based quantum computation (MBQC) is a paradigm for quantum
computation where computation is driven by local measurements on a suitably
entangled resource state. In this work we show that MBQC is related to a model
of quantum computation based on Clifford quantum cellular automata (CQCA).
Specifically, we show that certain MBQCs can be directly constructed from CQCAs
which yields a simple and intuitive circuit model representation of MBQC in
terms of quantum computation based on CQCA. We apply this description to
construct various MBQC-based Ans\"atze for parameterized quantum circuits,
demonstrating that the different Ans\"atze may lead to significantly different
performances on different learning tasks. In this way, MBQC yields a family of
Hardware-efficient Ans\"atze that may be adapted to specific problem settings
and is particularly well suited for architectures with translationally
invariant gates such as neutral atoms.

量子计算中，基于测量的量子计算（MBQC）与基于 Clifford 量子细胞自动机（CQCA）的一种模型有关，具有简单直观的电路模型表示。我们应用此描述构建了多种基于 MBQC 的参数化量子电路的 Ansätze，证明不同的 Ansätze 在不同的学习任务中可能导致显著不同的性能。因此，MBQC 提供了一系列适应特定问题设置且特别适用于具有平移不变门的体系，如中性原子的硬件高效的 Ansätze。