A cellular transformation of bipolar fuzzy sets to quantum intelligence (QI) machinery is presented based on an axiomatic formulation of equilibrium-based business intelligence (EBBI) and information conservational quantum-fuzzy cryptography (ICQFC). It is proven that any active bipolar cognitive map can be normalized to a bipolar quantum-fuzzy cognitive map-the logical equivalent of an information conservational bipolar quantum-fuzzy logic gate for equilibrium-based quantum cellular rebalancing. Such rebalancing leads to EBBI and ICQFC-an unexpected combination with unexpected synergy. Applicability of one EBBI algorithm and two ICQFC algorithms are illustrated. Information theoretic security and scalability of ICQFC are proved as a computational intelligence testbed for postquantum cryptography. It is argued that, while the illogical aspect of quantum mechanics prevents quantum computing from lending itself as an analytical paradigm, EBBI and ICQFC constitute a cellular transformation of bipolar fuzzy sets to high precision QI machinery-an equilibrium-based analytical paradigm for ubiquitous quantum modeling and quantum-digital compatible computing. A QI architecture is drafted. A QI transfer protocol is illustrated with ICQFC for EBBI. QI is, thus, distinguished by its ubiquitous, analytical, transferable, and quantum-digital compatible properties. It is asserted that QI as the most generic genre of intelligence underpins artificial and biological intelligence with mathematical, philosophical, and scientific distinctions. It is expected that through QI the research field of fuzzy sets and systems is destined to advance to the forefront of modern science including but not limited to brain science and quantum information science.

中文翻译：

---

从基于平衡的商业智能到信息守恒量子模糊密码学__双极模糊集的细胞变换到量子智能机器


基于基于平衡的商业智能 (EBBI) 和信息守恒量子模糊密码学 (ICQFC) 的公理化公式，提出了双极性模糊集到量子智能 (QI) 机器的元胞变换。事实证明，任何主动双极认知图都可以标准化为双极量子模糊认知图——用于基于平衡的量子细胞再平衡的信息守恒双极量子模糊逻辑门的逻辑等价物。这种重新平衡导致了 EBBI 和 ICQFC——一种意想不到的组合和意想不到的协同作用。说明了一种EBBI算法和两种ICQFC算法的适用性。 ICQFC 的信息论安全性和可扩展性被证明是后量子密码学的计算智能测试平台。有人认为，虽然量子力学的不合逻辑的方面阻止了量子计算作为一种分析范式，但 EBBI 和 ICQFC 构成了双极模糊集到高精度 QI 机器的细胞转换——一种用于无处不在的量子建模的基于平衡的分析范式和量子数字兼容计算。起草了 QI 架构。 QI 传输协议通过用于 EBBI 的 ICQFC 进行说明。因此，QI 以其普遍存在、分析、可转移和量子数字兼容的特性而著称。有人断言，QI 作为最通用的智能类型，以数学、哲学和科学的区别支撑着人工智能和生物智能。预计通过QI，模糊集和系统的研究领域必将走向包括但不限于脑科学和量子信息科学在内的现代科学的前沿。