This research investigates the strategic and technical convergence of high-dimensional spatial mode encoding—specifically utilizing orbital angular momentum (OAM) and Laguerre-Gaussian (LG) modes—within quantum photonic systems. By grounding photon properties in a first-quantized vector mechanics framework, the volume explores the dual-use implications of these technologies. Key contributions include analysis of high-dimensional quantum key distribution (HD-QKD) for secure communications, the implementation of split-step Fourier methods (SSFM) to model atmospheric decoherence, and the introduction of the Quantum Radar Cross Section (QRCS) as a mechanism to counter modern stealth technologies. The work ultimately highlights the critical geopolitical and strategic weaponization potential inherent in mastering these photonic information architectures. KSCCN Mamun, SM (2026) ………………………….1 High-Dimensional Spatial Mode Encoding: Quantum Diversity, Stealth, and the Dual-Use Weaponisation of Photonic Information (Volume X) Also available on Academia.edu: https://www.academia.edu/attachments/133138262/download_file?s=portfolio
This research investigates the strategic and technical convergence of high-dimensional spatial mode encoding—specifically utilizing orbital angular momentum (OAM) and Laguerre-Gaussian (LG) modes—within quantum photonic systems. By grounding photon properties in a first-quantized vector mechanics framework, the volume explores the dual-use implications of these technologies. Key contributions include analysis of high-dimensional quantum key distribution (HD-QKD) for secure communications, the implementation of split-step Fourier methods (SSFM) to model atmospheric decoherence, and the introduction of the Quantum Radar Cross Section (QRCS) as a mechanism to counter modern stealth technologies. The work ultimately highlights the critical geopolitical and strategic weaponization potential inherent in mastering these photonic information architectures. KSCCN Mamun, SM (2026) ………………………….1 High-Dimensional Spatial Mode Encoding: Quantum Diversity, Stealth, and the Dual-Use Weaponisation of Photonic Information (Volume X) Also available on Academia.edu: https://www.academia.edu/attachments/133138262/download_file?s=portfolio
This ninth volume critically examines the dual-use potential and strategic weaponisation pathways emerging from the theoretical and technological advances developed across Volumes I–VIII of the KSCCN Research Perspectives Series. Concepts such as optical magnetic torque, first-quantized photon wave functions, exact pseudomode electrodynamics, information-geometric manifolds, Quantum Fisher Information, and thermodynamic induction possess profound civilian benefits in quantum metrology, high-dimensional quantum information processing, resilient sensing, and energy-efficient photonics. However, the same principles can be repurposed for directed-energy systems, cognitive and decision-space warfare, ultra-precise or undetectable sensors, and novel forms of material or biological disruption. This paper maps these dual-use trajectories, assesses geopolitical and proliferation risks, and proposes governance frameworks to mitigate catastrophic misuse while preserving scientific progress. The analysis underscores the urgent need for anticipatory ethics, arms-control mechanisms, and responsible innovation protocols in the rapidly converging fields of photonics, quantum technologies, and information geometry. Also available on Academia.edu: https://www.academia.edu/attachments/133123821/download_file?s=portfolio
High-dimensional quantum key distribution (HD-QKD) enhances information efficiency and noise tolerance by encoding data in large Hilbert spaces. The orbital angular momentum (OAM) of light provides a scalable basis for such encoding and supports high-dimensional photonic communication. Practical OAM-based implementations remain constrained by challenges in state generation, transmission, and detection. This survey offers a consolidated overview of OAM-encoded HD-QKD, outlining fundamental principles, representative experiments, and system-level limitations. Recent progress in hybrid encodings, mode sorting, adaptive optics, and TF, CV, MDI, and DI frameworks is summarized with emphasis on practical feasibility.
This assessment challenges the prevailing classical, isolationist paradigm of defense quantum engineering, which regards quantum states as inherently fragile and susceptible to thermal decoherence. It introduces an active, topological, and biological framework by synthesizing quantum-biological mechanisms—such as the radical-pair mechanism for coherence stabilization—with advanced mathematical constructs. The methodology integrates Entanglement-Weighted Operator Geometry (EWOG), multi-parameter Topological Data Analysis (TDA) via G-LoG bi-filtration, Information Geometry on Fisher-Rao manifolds, and the spectral realization of Riemann zeta zeros. This synthesis constructs a blueprint for resilient, emergent informational manifolds capable of active decoherence suppression. The resulting hybrid architectures accelerate the timeline for mission-relevant quantum sensing, computing, and communications, providing a robust, noise-resistant foundation that can bypass current limitations outlined in reports like the Congressional Research Service Defense Primer. KSCCN Mamun, SM (2026) …………………………….1 Quantum Defense Technologies Reimagined: A Geometric, Fractal, and Information-Theoretic Assessment (Vol-I) Also available on Academia.edu: https://www.academia.edu/attachments/132889757/download_file?s=portfolio
This research redefines the fundamental ontology of the photon by transitioning from the traditional second quantization paradigm to a framework rooted in first quantization, exact pseudomode electrodynamics, and Entropic Dynamics. The paper posits that photons are localized, information-geometric entities whose physical shape and evolutionary dynamics are deterministically sculpted by the complex permittivity of their environment. By synthesizing non-Hermitian dynamics, non-equilibrium thermodynamics, and information-geometric metrics such as the Quantum Fisher Information and Fubini-Study metric, the framework establishes a unified approach to quantum metrology and structured light. This redefinition resolves the limitations of Markovian approximations and provides a rigorous, high-dimensional basis for advancements in quantum information processing, resilient sensing, and integrated photonics. KSCCN Mamun, SM (2026) …………………………….1 The Information Geometry of the Photon First Quantization, Exact Pseudomode Electrodynamics, and Entropic Redefinitions (Volume VIII) Also available on Academia.edu: https://www.academia.edu/attachments/133123706/download_file?s=portfolio
This article explores the groundbreaking intersection of quantum optics and neural network models, focusing on how multiphoton quantum interference in photonic circuits can simulate associative memory akin to the human brain. Drawing from recent research, we delve into the technical mechanisms, memory limits, and phase transitions observed in these systems. We employ geometric interpretations to elucidate the underlying ideas, simulate a model demonstrating latent memory in photon-like states for AI applications, and propose avenues for future research. The discussion covers historical context, experimental implications, energy efficiency advantages, potential challenges such as scalability and noise, and broader impacts on artificial intelligence, physics simulations, and neuromorphic hardware. Mamun, SM (2026)………………………1 Quantum Photonic Associative Memory: Multiphoton Interference as a Pathway to Brain-Inspired Computing (Vol-I) Also available on Academia.edu: https://www.academia.edu/attachments/132157923/download_file?s=portfolio
High-dimensional quantum key distribution (HD-QKD) provides notable advantages over qubit-based QKD, including higher key rates and greater noise resilience. Leveraging the orbital angular momentum states of structured photons to encode information has become a prominent method for implementing HD-QKD. However, practical challenges such as state-dependent diffraction, limited receiving aperture, and atmospheric turbulence impose constraints on the attainable performance and encoding dimension of QKD in free-space links. In this work, we address these challenges with focused, structured photons. Numerical simulations indicate that this method markedly enhances transmission efficiency and improves the robustness against turbulence, resulting in higher key rates and extended transmission distances in free-space HD-QKD. Additionally, focused, structured photons allow us to implement higher-dimensional QKD and enable QKD systems to achieve superior performance with smaller receiving apertures in a turbulent free-space link. This makes our approach particularly advantageous for applications of unmanned aerial vehicles and satellite platforms. Our work contributes to exploring the robust QKD schemes employing structured photons and may promote its application in quantum networks.