This paper demonstrates and proves that the coordination of actions in a distributed swarm can be enhanced by using quantum entanglement. In particular, we focus on - Global and local simultaneous random walks, using entangled qubits that collapse into the same (or opposite) direction, either random direction or totally controlled simultaneous movements. - Identifying eavesdropping from malicious eavesdroppers aimed at disturbing the simultaneous random walks by using entangled qubits that were sent at random or with predefined bases. - Identifying Byzantine robots or malicious robots that are trying to gain secret information or are attacking the system using entangled qubits. - The use of Pseudo Telepathy to coordinate robots' actions.
This paper demonstrates and proves that the coordination of actions in a distributed swarm can be enhanced by using quantum entanglement. In particular, we focus on - Global and local simultaneous random walks, using entangled qubits that collapse into the same (or opposite) direction, either random direction or totally controlled simultaneous movements. - Identifying eavesdropping from malicious eavesdroppers aimed at disturbing the simultaneous random walks by using entangled qubits that were sent at random or with predefined bases. - Identifying Byzantine robots or malicious robots that are trying to gain secret information or are attacking the system using entangled qubits. - The use of Pseudo Telepathy to coordinate robots' actions.
This paper demonstrates and proves that the coordination of actions in a distributed swarm can be enhanced by using quantum entanglement. In particular, we focus on• Global and local simultaneous random walks, using entangled qubits that collapse into the same (or opposite) direction, either random direction or totally controlled simultaneous movements.• Identifying eavesdropping from malicious eavesdroppers aimed at disturbing the simultaneous random walks by using entangled qubits that were sent at random or with predefined bases.
As swarm robotics evolves into a paradigm-shifting approach for distributed autonomous systems, communication vulnerabilities pose risks in hostile environments. Conventional cryptography is limited by decentralized nature, energy constraints, and node density, while quantum computing threatens public-key encryption via Shor's algorithm. This chapter explores Quantum Key Distribution (QKD) and entanglement-based networking for information-theoretic security. We examine mobile quantum networks, highlighting drone-based relays and satellite links. Beyond security, quantum principles like superposition and entanglement can enhance swarm intelligence, task allocation, and coordination. Despite promising validations, hurdles remain: SWaP constraints, atmospheric interference, and mobility-induced decoherence. Through case studies in aerial, maritime, space, and disaster domains, we propose a quantum-native architecture integrating post-quantum cryptography, adaptive PAT systems, and hybrid trust models for mission-critical resilience.
A number of quantum-based protocols exists for distributed parties to share correlated information, including distributed entanglement, and quantum key distribution, where the shared information or bits, are determined probabilistically. Such correlated information or bits can be used for security applications such as encryption, but in this paper, we show how such correlated information or bits, with the use of a priori agreed action-tables, can be used for probabilistic coordination schemes among multiple parties, which we term abstractly as agents (e.g., agents could be processes running on different computers across the Internet, different computer nodes, robots, or vehicles). We identify the properties of such a coordination approach, including fairness and built-in quantum security. We also outline a number of applications of such a coordination approach.
A number of quantum-based protocols exists for distributed parties to share correlated information, including distributed entanglement, and quantum key distribution, where the shared information or bits, are determined probabilistically. Such correlated information or bits can be used for security applications such as encryption, but in this paper, we show how such correlated information or bits, with the use of a priori agreed action-tables, can be used for probabilistic coordination schemes among multiple parties, which we term abstractly as agents (e.g., agents could be processes running on different computers across the Internet, different computer nodes, robots, or vehicles). We identify the properties of such a coordination approach, including fairness and built-in quantum security. We also outline a number of applications of such a coordination approach.
In a robotic swarm, parameters such as position and proximity to the target can be described in terms of probability amplitudes. This idea led to recent studies on a quantum approach to the definition of the swarm, including a block-matrix representation. However, the size of such matrix-based representation increases drastically with the swarm size, making them impractical for large swarms. Hence, in this work, we propose a new approach for modeling robotic swarms and robotic networks by considering them as mixed quantum states that can be represented mathematically via density matrices. The size of such an approach only depends on the available degrees of freedom of the robot, and not its swarm size and thus scales well to large swarms. Moreover, it also enables the extraction of local information of the robots from the global swarm information contained in the density matrices, facilitating decentralized behavior that aligns with the collective swarm behavior. Our approach is validated on several simulations including large-scale swarms of up to 1000 robots. Finally, we provide some directions for future research that could potentially widen the impact of our approach.
A number of quantum-based protocols exists for distributed parties to share correlated information, including distributed entanglement, and quantum key distribution, where the shared information or bits, are determined probabilistically. Such correlated information or bits can be used for security applications such as encryption, but in this paper, we show how such correlated information or bits, with the use of a priori agreed action-tables, can be used for probabilistic coordination schemes among multiple parties, which we term abstractly as agents (e.g., agents could be processes running on different computers across the Internet, different computer nodes, robots, or vehicles). We identify the properties of such a coordination approach, including fairness and built-in quantum security. We also outline a number of applications of such a coordination approach.