Multiple-valued logic (MVL) formalism is shown to be an effective mean to work with secret keys and to check data modification in an optical data transfer channel. Such wireless data lines are needed for multiagent robotic systems including a group of mobile robots. In order to generate secret keys by means of open optical line one can choose beforehand an arbitrary MVL function, calculate its minimized logic term and afterwards calculate a huge number of different fragments of MVL function to realize secret MVL keys. The proposed method enlarges and complements the earlier proposed effective method of MVL secret coding tables for systems with high (more than 50) number of logic levels. Some problems of correct MVL function generation are discussed. MVL check functions method is also proposed to indicate data modification in messages. MVL non-quantum coding methods can be integrated with low-throughput quantum optics data channels for additional crypto protection.
Multiple-valued logic (MVL) formalism is shown to be an effective mean to work with secret keys and to check data modification in an optical data transfer channel. Such wireless data lines are needed for multiagent robotic systems including a group of mobile robots. In order to generate secret keys by means of open optical line one can choose beforehand an arbitrary MVL function, calculate its minimized logic term and afterwards calculate a huge number of different fragments of MVL function to realize secret MVL keys. The proposed method enlarges and complements the earlier proposed effective method of MVL secret coding tables for systems with high (more than 50) number of logic levels. Some problems of correct MVL function generation are discussed. MVL check functions method is also proposed to indicate data modification in messages. MVL non-quantum coding methods can be integrated with low-throughput quantum optics data channels for additional crypto protection.
Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.
The methods of data verification are discussed, which are intended for the distant control of autonomous mobile robotic agents via networks, combining optical data links. The problem of trust servers is considered for position verification and position-based cryptography tasks. In order to obtain flexible quantum and classical verification procedures, one should use the collective interaction of agents and network nodes, including some elements of the blockchain. Multiple-valued logic functions defined within discrete k-valued Allen–Givone algebra are proposed for the logically linked list of entries and the distributed ledger, which can be used for distant data verification and breakdown restoration in mobile agents with the help of partner network nodes. A distributed ledger scheme involves the assigning by distant partners of random hash values, which further can be used as keys for access to a set of distributed data storages, containing verification and restoration data. Multiple-valued logic procedures are simple and clear enough for high-dimensional logic modelling and for the design of combined quantum and classical protocols.
In this paper, all-optical scheme for designing some polarization encoded quaternary logic gates (quaternary min and quaternary delta literal) with the help of Mach Zender interferometric (MZI) switch have been discussed. With the demanding scenario of communication and optical computing technology the quadruple valued logic systems are the most important ones in the multi valued logic system. In order to overcome the electronic bottlenecks and fully exploit the advantages of optics, multi valued logic (MVL) is explore here for data communication system.
The convergence of quantum computing (QC) and artificial intelligence (AI) represents one of the most cutting-edge developments in the modern technological landscape. At the same time, multiple-valued logic (MVL), a generalization of classical binary logic, appears to be a promising tool for enhancing the expressiveness, scalability, and reasoning capabilities of intelligent systems. This paper explores the synthesis of quantum computing, quantum AI (QAI) and MVL and presents a systematic overview of their theoretical foundations, hardware architectures, and real-world applications. It serves as a survey report that rigorously studies the existing literature and technologies at the intersection of QC, QAI, and MVL. We examine how MVL is being implemented in both classical and quantum domains, particularly through multi-level memory systems, fuzzy logic controllers, and qudit-based quantum circuits. Furthermore, we analyze how MVL can support probabilistic inference, ambiguity modeling, and fault-tolerant computation in QAI frameworks. The paper also contrasts binary and multivalued logic systems across dimensions of complexity, physical realizability, and logical expressiveness, and highlights key industrial efforts by companies such as Intel, IBM, and Microsoft in advancing MVL and AI technologies. Finally, by synthesizing current literature and technology trends, we propose a conceptual framework that positions MVL as a foundational layer for scalable, intelligent quantum architectures, and analyze the potential of MVL-enhanced QAI systems to address challenges in areas such as biomedical diagnostics, decision support, and secure quantum communication.
Physically Unclonable Function (PUF) optical circuits are described and implemented within a Photonic Integrated Circuit (PIC) to enhance certain security properties such as device authentication, anti-tamper properties, or for use as a root-of-trust value. Optical processing is advantageous for security applications such as these since they are less susceptible to eavesdropping and side channel monitoring via the difficulty of observing electromagnetic radiation emissions during PIC operation. We employ the use of State of Output Polarization (SOP) variability arising from inherent stresses, strains and manufacturing tolerances present within a fabricated PIC. A customized optical signal processing element is used in our PUF circuit that contains a very narrow "trench" structure with tiny structural variations induced during fabrication that enhances SOP variability. The tiny structural changes in fabricated PICs are fixed resulting in repeatable SOP variation of the optical signals. To avoid a need for PUF calibration, to increase robustness with respect to input power level variation, measurement device resolution and sensitivity; we show that PUF functionality can be conveniently modeled as a discrete MultipleValued Logic (MVL) function. The proposed MVL PUF formulation avoids the need to characterize and measure exact polarization states as well as enabling the use of PUF output measurement devices that have a wide range of resolution and sensitivity specifications. Several different PUF circuits are implemented within a single fabricated PIC and are experimentally evaluated to demonstrate its efficacy.