This paper seeks to model human language by the mathematical framework of quantum physics. With the well-designed mathematical formulations in quantum physics, this framework unifies different linguistic units in a single complex-valued vector space, e.g. words as particles in quantum states and sentences as mixed systems. A complex-valued network is built to implement this framework for semantic matching. With well-constrained complex-valued components, the network admits interpretations to explicit physical meanings. The proposed complex-valued network for matching (CNM) achieves comparable performances to strong CNN and RNN baselines on two benchmarking question answering (QA) datasets.

翻译：本文件试图用量子物理学的数学框架来模拟人类语言。在量子物理学的精心设计的数学配方中,这一框架统一了单一的复杂值矢量空间的不同语言单位,例如量子状态中的微粒和混合系统中的句子。建立了一个复杂值网络,以实施语义匹配框架。由于受到严格限制的复杂值组成部分,网络承认对明确的物理含义的解释。拟议的复杂值匹配网络(CNM)在两个基准回答数据集上取得了与强力CNN和RNN的类似性能。