Memory-Guided Retrieval-Augmented Framework for Real-Time-Capable Parameter Optimization in Quantum Conference Key Agreement

Abstract: Parameter optimization constitutes a critical computational bottleneck for real-time-capable multi-field quantum conference key agreement (MF-QCKA) in quantum networks, requiring protocol parameters to be adapted to dynamic system configurations. We propose a memory-guided retrieval-augmented (MGRA) framework for parameter optimization under finite computational budgets, comprising an offline memory augmentation stage and an online parameter optimization stage. […]

Record Long Distance Quantum-Classical Co-Transmission Enabled by Reduced Crosstalk Multi-Core Fiber

Abstract: We experimentally demonstrate the coexistence of discrete-variable quantum key distribution (DV-QKD) with high-capacity bidirectional data transmission over multi-core fiber (MCF). The MCF consists of four trench assisted cores with low inter-core cross-talk of 100 km). The quantum channel operates at 1547.7 nm (193.7 THz) using a decoy-state differential phase-shift (DPS) protocol, while 800 Gb/s […]

ShardQ: Hardware-Aware Circuit Cutting and Recomposition for Quantum Data Encoding

Abstract: Quantum data encoding (QDE) loads classical data into quantum states and is a core primitive for quantum machine learning and quantum algorithms, yet executing QDE circuits on connectivity-limited noisy quantum processing units (QPUs) requires a compilation-and-reconstruction pipeline that partitions the circuit across the hardware and recombines the fragment outputs. Circuit cutting and knitting provide […]

Quantum Approaches to Hide Sensitive Itemsets: Domain-Inspired Warm Start

Abstract: Sharing transactional data with upstream supply-chain partners has long been recognized as beneficial to all involved. Yet many retailers remain reluctant to share for fear of divulging sensitive information. Evidence suggests that more retailers would be willing to share if retailer-sensitive information is concealed prior to sharing. In transactional data, such sensitive information often […]

Efficient Reconstruction of Wigner Function from Marginals with Deep Generative Model

Abstract: The Wigner function is one of the most important tools for characterizing quantum states in continuous-variable and quantum optical systems, with its negativity serving as a strong indicator of nonclassicality. However, its experimental reconstruction from measurable raw data is a tedious task requiring substantial experimental resources. On the other hand, machine learning has made […]

A CubeSat single-photon detector module to facilitate on-orbit laser annealing for radiation damage mitigation

Abstract: Silicon-based single-photon avalanche photodiodes (SPADs) widely used in space-based quantum communication payloads exhibit an increasing dark count rate (DCR) due to proton radiation induced displacement damage accumulating in their active areas, which could make the device unusable for quantum communication protocols. One known mitigation strategy is laser annealing, and previous studies have demonstrated that […]

Long-term Performance Analysis of a Commercial QKD Device

Abstract: Quantum key distribution (QKD) has reached a commercially viable stage, with several companies offering hardware systems designed for operational deployment. Evaluating these systems under real-world conditions provides researchers and users with experimental references for their performance and operational variability. In this paper, we present a long-term performance analysis of ID Quantique’s Clavis XGR deployed […]

Plug-and-Play Three Pulse Twin-Field QKD

Abstract: We present an experimental implementation of a three-time-bin phase-encoded twin-field quantum key distribution (TF-QKD) protocol using a Sagnac-based plug-and-play architecture. The proposed encoding method leverages the relative phases of three consecutive time bins to encode two bits per signal. We compare the temporal visibility of three different implementations of this protocol: a plug-and-play (PnP) […]

A Cryogenic Hybrid Photonic/CMOS Controller Architecture for Scalable Superconducting Qubit Control

Abstract: Scaling superconducting quantum computers toward thousands of control channels remains a difficult hardware problem. Meeting this challenge requires reducing the room-temperature-to-cryogenic interconnect burden and 4 K power dissipation while retaining channel-specific programmability at 4 K. This work develops a hybrid photonic/CMOS control architecture in which optical fibers distribute shared Gaussian and derivative pulse templates, […]

Probabilistic Graybox Characterization of Quantum Devices With Bayesian Neural Networks

Abstract: While the Graybox characterization method allows for implicit noise models and is platform-agnostic, the method lacks uncertainty quantification. Characterization of quantum devices is a crucial process that enables researchers to gain insight from experimental settings. Graybox characterization combines known system dynamics with unknown transformations, where the latter is modeled using machine learning. Prediction uncertainty […]