Precise time synchronization is a fundamental challenge in distributed quantum systems, with direct implications for secure communication, sensing, and next-generation network technologies. In this study, we present a Field Programmable Gate Array (FPGA)-based implementation of a Time-Correlated Entangled Photons (TCEP) source-based synchronization system, achievingsub-nanosecondaccuracy with timing jitter consistently below 200 ps for a distance up to 20 km. The system leverages the strong temporal correlations inherent in entangled photon pairs to compute synchronization offsets between spatially separated nodes. The design features a modular architecture with optimized kernels for temporal correlation, data aggregation, and normalization, enabling efficient resource utilization and high-throughput performance. Experimental validation demonstrates the FPGA's ability to process photon timestamp data and compute cross-correlation functions significantly faster than traditional CPU-based approaches, achieving execution times in the millisecond range even for large datasets. Our FPGA implementation achieved a consistent$\sim$800 times speedup over CPU, with performance largely unaffected by channel length. Resource utilization analysis highlights the scalability of the design, with the fully integrated system operating at a clock frequency of 397.5 MHz while maintaining efficient use of logic elements, registers, and memory blocks. This hardware-efficient approach provides the timing backbone for next-generation technologies, facilitating advancements in ultra-reliable low-latency communication, distributed quantum computing, quantum-enhanced sensing, navigation, and lays a foundation for forthcoming 6G networks and the quantum internet.
Precise time synchronization is a fundamental challenge in distributed quantum systems, with direct implications for secure communication, sensing, and next-generation network technologies. In this study, we present a Field Programmable Gate Array (FPGA)-based implementation of a Time-Correlated Entangled Photons (TCEP) source-based synchronization system, achievingsub-nanosecondaccuracy with timing jitter consistently below 200 ps for a distance up to 20 km. The system leverages the strong temporal correlations inherent in entangled photon pairs to compute synchronization offsets between spatially separated nodes. The design features a modular architecture with optimized kernels for temporal correlation, data aggregation, and normalization, enabling efficient resource utilization and high-throughput performance. Experimental validation demonstrates the FPGA's ability to process photon timestamp data and compute cross-correlation functions significantly faster than traditional CPU-based approaches, achieving execution times in the millisecond range even for large datasets. Our FPGA implementation achieved a consistent∼800 times speedup over CPU, with performance largely unaffected by channel length. Resource utilization analysis highlights the scalability of the design, with the fully integrated system operating at a clock frequency of 397.5 MHz while maintaining efficient use of logic elements, registers, and memory blocks. This hardware-efficient approach provides the timing backbone for next-generation technologies, facilitating advancements in ultra-reliable low-latency communication, distributed quantum computing, quantum-enhanced sensing, navigation, and lays a foundation for forthcoming 6G networks and the quantum internet.
Time synchronization is crucial in the architecture of modern communication networks, supporting numerous high-stakes applications like financial transactions, autonomous vehicle control, and data center operations. While traditional time synchronization protocols, specifically the Network Time Protocol (NTP) and Precision Time Protocol (PTP), are reliable for various applications, they fall short in scenarios requiring ultra-high precision and resilience. To address these limitations, this paper provides a comprehensive comparative analysis of two emerging quantum technologies, namely Time-Correlated Entangled Photons (TCEP) and Optical Lattice Clocks (OLC). Using Monte Carlo simulations, we examined the synchronization in terms of the accuracy of these technologies under various noise conditions, revealing that while TCEP works perfectly in low-noise environments, its efficacy diminishes significantly with increasing noise levels. On the contrary, OLCs demonstrate consistent performance across various noise levels, making them more versatile for diverse application scenarios. This study is foundational for integrating quantum technologies in time synchronization for communication networks and sheds light on their merits and challenges. Our findings open new avenues for research in scalability, environmental resilience, and the development of hybrid quantum-classical timekeeping systems. Integrating quantum-enhanced time synchronization into a communication network will be the key step for achieving full-fledged Quantum Internet and quantum-enhanced communication networks.
Accurate time and phase distribution remain central requirements for emerging communication systems, where synchronization affects radio coordination, fronthaul stability, and network-based positioning. Current approaches rely heavily on GNSS, the Precision Time Protocol (PTP), and Synchronous Ethernet (SyncE). Still, their performance is limited by delay asymmetry, accumulated jitter across long paths, and GNSS's vulnerability to blockage or interference. Recent progress in optical and quantum time-transfer techniques, particularly time-correlated entangled photons (TCEP) and optical lattice clocks (OLCs), offers an opportunity to improve both stability and calibration accuracy. This work proposes a practical synchronization framework that integrates OLC-based time references, TCEP-assisted calibration between core nodes, and standards-compliant packet-based delivery using PTP/SyncE in accordance with ITU-T G.8271. We describe how to interface photonic subsystems, FPGA-based timestamping hardware, and telecom boundary clocks without modifying existing radio functions. We also evaluate how improved synchronization propagates to key applications: uplink and downlink TDoA positioning, fronthaul and TSN timing stability, and NTN deployments where GNSS is unreliable. The architecture is designed for incremental deployment and aligns with current operational practices.
The advent of Beyond 5G (emerging 6G) technologies represents a significant step forward in telecommunications, offering unprecedented data speeds and connectivity. These advances enable a wide range of applications, from enhanced mobile broadband and the Internet of Things to ultra-reliable low-latency communication and the tactical Internet. Thus, having accurate and dependable time synchronization is of utmost importance and plays a critical role in ensuring that all processes function smoothly and effectively. However, existing standards, such as the precision time protocol, are unreliable due to jitters, datagram losses, and complexity. Increasing the synchronization error from the ideal tens of nanoseconds to hundreds of microseconds is unacceptable in future-generation networks. This work provides a novel way to establish ultraprecise synchronization, which is critical for the growth of converged optical communication networks and the 6G era. We investigate quantum non-linear synchronization (QNS), which explores the interaction between the non-linear dynamics of atomic systems and dissipation to establish a stable limit-cycle state. In this process, atoms confined within optical resonators are subjected to potential fields, and their spatial motion is synchronized by achieving a stable, phase-locked configuration. By introducing photons into the optical resonators and precisely managing the dissipation effects, it is possible to synchronize multiple optical resonators (referred to as nodes), even in systems with more than three interconnected resonators containing non-linear atoms. To transcend the synchronization signal from the optical setup to communication networks, we propose a distinct mechanism that utilizes the exceptional precision of QNS in the optical lattice setup and frequency down-conversion using frequency combs. In addition, it is combined with electronic components such as analog-to-digital converters and field-programmable gate arrays (FPGAs) to create synchronized digital signals that are understandable to communication networks. Our method transforms optical pulses into precisely timed electrical signals that can be analyzed and used in sophisticated network systems. We demonstrated that QNS and dissipation can synchronize a tri-node clock network to the highest precision of thulium atom-based optical lattice clocks. Our work also highlights the practicality of these applications through MATLAB simulations, bridging theoretical principles and real-world solutions with current technology. In our simulations, we utilized an optical signal with a frequency of 263 THz, downconverted to a lower microwave frequency of 100 GHz to achieve subnanosecond-level synchronized signals. The down-converted signal was subjected to white noise and subsequently digitized. The digital signal was then simulated by sampling rate of [Formula: see text] GHz or GSa/s (gigasample per second) and limiting the resolution to [Formula: see text] bits. Finally, high-frequency noise was removed by implementing low-pass filtration using FPGAs. This study takes an essential step toward meeting the rising demands for rapid and efficient data transfer in the ever-evolving digital communications landscape, enabling faster and more reliable connectivity for future communication networks and the quantum Internet.
This paper proposes a novel approach to distributed time synchronization leveraging the principles of quantum entanglement. Traditional distributed time synchronization methods are often limited by the constraints of classical communication channels, including bandwidth limitations and latency issues, alongside vulnerability to single points of failure. This research introduces a system where multiple physically separated nodes are interconnected through a shared entangled quantum state. By performing measurements on this entangled state and comparing the results, the nodes can accurately determine the time differences between themselves, achieving a high-precision, low-latency distributed time synchronization. The inherent properties of entanglement—specifically, its ability to maintain correlation regardless of distance—provide a robust mechanism for time synchronization, overcoming the limitations imposed by conventional communication channels. This approach has significant implications for applications requiring precise timing across geographically dispersed locations, such as financial transactions, scientific data collection, and secure communication networks. The system's performance is analyzed, and the core claim of exceeding classical synchronization boundaries is substantiated by theoretical modeling and discussion of key parameters. ---
Distributed quantum computing is a promising solution for creating large-scale quantum computers. In such scenarios, quantum processing units (QPUs) are connected to each other via quantum and classical links. To increase the performance in such a distributed manner, and due to the fragile nature of quantum bits and their decoherence with time, the impact of classical links such as communication latency and jitter between QPUs shall be considered. Here, we propose a low-latency and time-deterministic FPGA-based network supporting execution of distributed quantum circuits. We focus on transmissions of measurement result and control messages as well as synchronization in a distributed network. We demonstrate that a message is transmitted with 361.60 ns between QPUs using optical Ethernet. Synchronization reaches 9.6 ns precision using only Ethernet frames and can reach 21 ps with an external clock. Further, a use-case example of an Inverse Quantum Fourier Transform is implemented to evaluate the impact in terms of latency for inter-QPU data transfers. Our theoretical error analysis and simulation results show that the latency added by our FPGA-controlled network has a negligible impact on the quantum algorithm performance for practical values of memory decoherence time.
Electronic systems for qubit control and measurement serve as a bridge between quantum programming language and quantum information processors. With the rapid development of superconducting quantum circuit technology, synchronization in a large-scale system, low-latency execution, and low noise are required for electronic systems. Here, we present a field-programmable gate array (FPGA)-based electronic system with a distributed synchronous clock and trigger architecture. The system supports synchronous control of qubits with jitters of ∼5 ps. We implement a real-time digital signal processing system in the FPGA, enabling precise timing control, arbitrary waveform generation, in-phase and quadrature demodulation for qubit state discrimination, and the generation of real-time qubit-state-dependent trigger signals for feedback/feedforward control. The hardware and firmware low-latency design reduces the feedback/feedforward latency of the electronic system to 125 ns, significantly less than the decoherence times of the qubit. Finally, we demonstrate the functionalities and low-noise performance of this system using a fluxonium quantum processor.