Modeling Archives - IEEE Transactions on Quantum Engineering

Physics-Informed Weighted Conjugate Light Field Processing and Quantum Neural Networks for Turbulence-Distorted OAM Beam Detection

October 6, 2026Gokul Manavalan, Shlomi ArnonEarly Access, Open AccessBeams, Bit error rate, Convolutional neural networks, Decoding, Lighting, Modeling, Physics, Propagation, Qubit, Training

Abstract: Optical wireless communication (OWC) using orbital angular momentum (OAM)-encoded structured light enables high-dimensional multiplexing for next generation free-space links. However, atmospheric turbulence introduces phase distortions, modal coupling, and intensity fluctuations that significantly degrade detection performance and increase bit-error rate (BER). In this work, we propose a physics-informed hybrid quantum–classical framework based on a weighted […]

Satellite-Based Quantum Key Distribution for Quantum-Secure Dual-Use SATCOM: Architecture, Trust Models, and Orbit-Dependent Performance Analysis

October 1, 2026Joan Bas, Albert Compte, Joanna Sliwa, Konrad WronaEarly Access, Open AccessArchitecture, Computer architecture, Distance measurement, Grounding, Joining processes, Low earth orbit satellites, Modeling, Orbits, Satellites, Security

Abstract: Quantum Key Distribution (QKD) enables information-theoretic secure key establishment and provides a promising mechanism for strengthening satellite communication (SATCOM) systems against quantum-capable adversaries. This paper presents a unified engineering-oriented framework for evaluating satellite-based QKD in dual-use SATCOM environments. Rather than introducing a new QKD protocol or propagation model, the contribution lies in integrating established […]

Noise-model-free versus Bayes-optimal decoding of finite-energy GKP qubits

September 2, 2026Hikaru Wakaura, Taiki TanimaeEarly Access, Open AccessCalibration, Codes, Decoding, Labeling, Lattices, Modeling, Noise, Testing, Timing, Training

Abstract: We study Bayesian decoding of finite-energy Gottesman–Kitaev–Preskill (GKP) qubits from multi-shot homo dyne records under coherent displacement channels, in which all shots of a trial share one latent shift. Our first contribution is an α-marginalised Bayes-optimal decoder, validated shot-for shot against the exact likelihood computed from the simulator’s own wavefunction/Fock pipeline: the textbook IID […]

RuleSet Generation Framework for Application Layer Integration in Quantum Internet

August 31, 2026Rei Kawano, Shin Nishio, Hideaki Kawaguchi, Shota Nagayama, Takahiko SatohEarly Access, Open AccessInternet, Memory, Modeling, Protocols, Qubit, Repeaters, Schedules, Scheduling, Servers, Timing

Abstract: Layered architectures for the Quantum Internet have been proposed, inspired by that of the classical Internet, which has demonstrated high maintainability even in large-scale systems. While lower layers in the Quantum Internet, such as entanglement generation and distribution, have been extensively studied, the application layer — responsible for translating user requests into executable quantum-network […]

Efficiently Architecting VQAs: Expressibility–Trainability–Resources Pareto-Optimality

August 24, 2026Rodrigo M. Sanz, Andreu Anglés-Castillo, Eduard Alarcón, Carmen G. AlmudéverEarly Access, Open AccessAlgorithms, Circuits, Cost function, Costing, Costs, Design methodology, Measurement, Modeling, Optimization, Qubit

Abstract: Ansatz selection is a key factor in the performance of variational quantum algorithms (VQAs). While much of the state-of-the-art still relies on heuristic choices, an inadequate circuit structure can compromise both the expressive power and the trainability of the resulting model. Recent results have also established theoretical connections between expressibility and the onset of […]

Dissipative Feedback and Hybrid Lyapunov-Reinforcement Learning Control for NV-Center Quantum Sensing

August 17, 2026Yuxuan Zhao, Xiaofeng Jiang, Tianxiang Xiong, Sen Kuang, Jian YangEarly Access, Open AccessDynamics, Feedback, Learning (artificial intelligence), Modeling, Optimization, Quantum sensing, Reinforcement learning, Sensitivity, Timing, Training

Abstract: Practical NV-center magnetometry requires both accurate modeling of open quantum dynamics and robust control under environmental drift. However, commonly used perturbative descriptions inadequately capture dissipative processes, while existing control strategies remain individually limited: open-loop protocols cannot adapt to unknown frequency variations, Lyapunov feedback typically converges only to a neighborhood of the optimal sensing state, […]

Entanglement Distribution and Teleportation in Assisted and Scalable Quantum Access Networks

August 11, 2026Amir Mohammad Yaghoobianzadeh, Jawad A. SalehiEarly Access, Open AccessDetectors, Joining processes, Matrices, Modeling, Passive optical networks, Probability, Protocols, Reviews, Teleportation, Textile fibers

Abstract: We have investigated the entanglement distribution and quantum teleportation in quantum passive optical networks (QPONs), where an entangled state is distributed between the central node and multiple end users through lossy fibers and passive optical splitter/combiner. The entanglement degradation is quantified using logarithmic negativity, and teleportation fidelity both in non-assisted and assisted strategies. We […]

Rydberg Atom Electric Field Sensors as Linear Time-invariant Systems

August 6, 2026Neel Malvania, Garry Jacyna, Bonnie L. Schmittberger Marlow, Zachary N. Hardesty-Shaw, Kathryn L. Nicolich, Kelly M. Backes, Jamie L. MacLennan, Charlie T. FancherEarly Access, Open AccessElectric fields, Frequency, Image sensors, Matrices, Modeling, Radio frequency, Rydberg atoms, Steady-state, Timing, Transfer functions

Abstract: Over the past decade, Rydberg atom electric field sensors have been under investigation as potential alternatives or complements to conventional antenna-based receivers for select applications in RF communications, remote sensing, and precision metrology. To understand the potential utility of these devices for various use cases, it is crucial to develop models that accurately predict […]

Boosting Information Reconciliation for Decoy-State Quantum Key Distribution Over a Satellite Downlink Channel

July 22, 2026T. Scarinzi, D. Orsucci, M. Ferrari, L. BarlettaEarly Access, Open AccessArrays, Codes, Distance measurement, Joining processes, Modeling, Quantum key distribution, Receivers, Satellites, Simulation, Timing

Abstract: Quantum Key Distribution (QKD) is a cryptographic solution that leverages the properties of quantum mechanics to be resistant and secure even against an attacker with unlimited computational power. Satellite-based links are important in QKD because they can reach distances that the best fiber systems cannot. However, links between satellites in Low Earth Orbit (LEO) […]

Quantum Communication Infrastructure Cost Optimization Using a Genetic Algorithm

July 15, 2026Ange Joel Nounga Njanda, Edmar Egidio Souza, Raul C. Almeida, Anderson A. Tomkelski, Karcius D. R. AssisEarly Access, Open AccessAlgorithms, Costing, Costs, Joining processes, Modeling, Optimization, Planning, Radio access networks, Regional area networks, Topology

Abstract: This paper proposes an optimization model for the design of quantum communication infrastructures (QCI) with the aim of minimizing capital expenditure (CAPEX), focusing on the costs associated with the deployment of quantum links and trusted repeater nodes (TRNs). The model is formulated using an integer linear programming (ILP) program that incorporates physical and operational […]