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 […]
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 […]
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 […]
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 […]
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) […]
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, […]
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 […]
Abstract: Quantum datacenter (QDC) architectures must support communication among quantum processing units (QPUs) under limited communication qubits, optical switching and measurement resources, probabilistic entanglement generation, and physical-layer noise. This paper presents Q-REFINE, a framework for Quantum Resource Exploration via Factorial & Iterative N-factor Experiments. Its measure is the completion rate, the rate at which requests […]
Abstract: Rydberg-atom electrometry promises a radiofrequency (RF) receiver front end with intrinsic self-calibration, all-optical readout, and freedom from conventional antenna constraints. However, existing studies largely address isolated physical effects—local susceptibility, spectral fitting, or a single observable–so a unified engineering description that links device physics to communication performance is still lacking. This work develops a system-level […]
Abstract: Optimal bi- or multi-phase code sequences are widely used in applications such as pulse compression in radar signals, frame synchronization in communications, and error detection in materials science. However, only a very limited number of optimal short code sequences are currently known, and existing approaches for finding new codes are computationally prohibitive due to […]