Quantum networks hold the potential to revolutionize secure communication and distributed quantum computing. However, realizing this potential requires a control plane capable of meeting the demands of quantum systems, including precise timing, protocol heterogeneity, and programmability. Classical network control architectures fall short due to the no-cloning theorem, the fragility of quantum states, and the tight synchronization constraints inherent in protocols such as entanglement swapping. In this work, we propose a novel quantum control plane design that integrates a structured quantum Yet-Another-Next-Generation (YANG) data model and leverages Time-Sensitive Networking (TSN) components to support both centralized control and agent-based control patterns. We evaluate both patterns under network jitter and clock drift using numerical simulations, identifying key trade-offs in timing precision and robustness. We further demonstrate the applicability of our design through the case study of entanglement swapping, a representative protocol that is sensitive to synchronization. Our findings highlight how control patterns can shape the design of time-aware and scalable quantum network architectures.
Quantum networks hold the potential to revolutionize secure communication and distributed quantum computing. However, realizing this potential requires a control plane capable of meeting the demands of quantum systems, including precise timing, protocol heterogeneity, and programmability. Classical network control architectures fall short due to the no-cloning theorem, the fragility of quantum states, and the tight synchronization constraints inherent in protocols such as entanglement swapping. In this work, we propose a novel quantum control plane design that integrates a structured quantum Yet-Another-Next-Generation (YANG) data model and leverages Time-Sensitive Networking (TSN) components to support both centralized control and agent-based control patterns. We evaluate both patterns under network jitter and clock drift using numerical simulations, identifying key trade-offs in timing precision and robustness. We further demonstrate the applicability of our design through the case study of entanglement swapping, a representative protocol that is sensitive to synchronization. Our findings highlight how control patterns can shape the design of time-aware and scalable quantum network architectures.
Tight integration between classical and quantum networking requires strict synchronization of events between the classical and quantum portions of the network. Time-Sensitive Networking (TSN) as defined by IEEE 802.1Q is limited to accuracy on the order of microseconds due to limitations in time synchronization performance; TSN gate control is thus similarly limited. This work presents a new High-Precision TSN that enables greater accuracy and resolution toward sub-nanosecond TSN gate control and can directly support entanglement distribution, a key component in a software-designed quantum network architecture where classical control can reach deep into the quantum network and directly control time critical operations.
Quantum Networking (QN) has the potential to revolutionize many areas of science and technology with the groundbreaking capabilities in communication and computation that it introduces. The quantum Internet is different from the classical Internet in that it is based on quantum bits (qubits), the fundamental units, rather than classical bits. This opens up the possibility of qubits being able to perform complex computation and communication tasks in ways that go beyond what is possible with classical systems because they can exist in multiple states at once through the principle of superposition. This is important for the future of quantum applications, in particular for satellite-based systems, to enable secure and efficient communication over long distances. However, there are still significant challenges to achieving scalable and reliable time synchronization and integration of quantum systems with existing classical networking infrastructures. This project focuses on these challenges. It will design, model, and experimentally evaluate a hardware clock system for integrating digital control boards in Quantum Networks, with an emphasis on scalable and reliable time synchronization architecture. It will model and benchmark time synchronization architectures using high-precision time measurement instruments and versatile microcontroller platforms. These microcontrollers mimic QN nodes and allow the experimentation of quantum communication protocols to evaluate how well the proposed solution can be scaled and performed. This work provides a foundation for addressing the technical issues of Quantum Networks. It is a step towards scalable quantum communication technologies and the development of future aerospace systems for secure global communication.
The realization of the Quantum Internet promises transformative capabilities in secure communication, distributed quantum computing, and high-precision metrology. However, transitioning from laboratory experiments to a scalable, multi-tenant network utility introduces deep orchestration challenges. Current development is often siloed within physics communities, prioritizing hardware, while the classical networking community lacks architectural models to manage fragile quantum resources. This tutorial bridges this divide by providing a network-centric view of quantum networking. We dismantle idealized assumptions in current simulators to address the "simulation-reality gap," recasting them as explicit control-plane constraints. To bridge this gap, we establish Software-Defined Quantum Networking (SDQN) as a prerequisite for scale, prioritizing a symbiotic, dual-plane architecture where classical control dictates quantum data flow. Specifically, we synthesize reference models for SDQN and the Quantum Network Operating System (QNOS) for hardware abstraction, and adapt a Quantum Network Utility Maximization (Q-NUM) framework as a unifying mathematical lens for engineers to reason about trade-offs between entanglement routing, scheduling, and fidelity. Furthermore, we analyze Distributed Quantum AI (DQAI) over imperfect networks as a case study, illustrating how physical constraints such as probabilistic stragglers and decoherence dictate application-layer viability. Ultimately, this tutorial equips network engineers with the tools required to transition quantum networking from a bespoke physics experiment into a programmable, multi-tenant global infrastructure.
Next-generation industrial automation in Industry 5.0 demands sub-nanosecond time synchronization to enable advanced human-machine collaboration and real-time control systems. Quantum Time Synchronization (QTS), enabled by entangled photon-based quantum networks, offers ultra-precise clock alignment across distributed nodes. However, practical deployment requires an authenticated classical communication channel to exchange timestamped data and extract synchronization offsets. This paper investigates the core tradeoffs between classical channel latency and achievable QTS precision in hybrid quantum-classical networks. Using a discrete-event simulator, we evaluate the impact of various classical network protocols, each with distinct latency characteristics, on QTS performance. Our results demonstrate that even modest latency increases result in degraded synchronization accuracy and increased synchronization jitter, particularly in time-critical industrial contexts. To address these challenges, we propose a combined approach that integrates low-overhead authentication, low-latency communication protocols, and predictive clock drift compensation. Our findings provide actionable guidance for balancing latency, security, and synchronization accuracy in QTS services for future networks.
Quantum networks are expected to enable distributed quantum computing, secure communication, and global entanglement distribution. However, operating such networks presents significant challenges, including stochastic quantum processes, fragile entanglement resources, dynamic topology, and cross-layer control requirements. Current quantum network control architectures largely rely on centralized or hierarchical controllers inspired by classical software-defined networking (SDN). While effective for small testbeds, these approaches face scalability, latency, and reliability limitations as quantum networks grow.
As practical quantum networks prepare to serve an ever-expanding number of nodes, there has grown a need for advanced auxiliary classical systems that support the quantum protocols and maintain compatibility with the existing fiber-optic infrastructure. We propose and demonstrate a quantum local area network design that addresses current deployment limitations in timing and security in a scalable fashion using commercial off-the-shelf components. First, we employ White Rabbit switches to synchronize three remote nodes with ultra-low timing jitter, significantly increasing the fidelities of the distributed entangled states over previous work with Global Positioning System clocks. Second, using a parallel quantum key distribution channel, we secure the classical communications needed for instrument control and data management. In this way, the conventional network that manages our entanglement network is secured using keys generated via an underlying quantum key distribution layer, preserving the integrity of the supporting systems and the relevant data in a future-proof fashion.