Q-REFINE: A Quantum Datacenter Design Optimization Framework

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 […]

A System-Level Design Framework for Rydberg-Atom Quantum Receivers: End-to-End Input-Output Modeling, Noise-Aware Sensitivity, and Communication Performance

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 […]

A Grover Search Approach to Finding Optimal Low Autocorrelation Sequences

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 […]

Quantum-Enhanced Belief Propagation for LDPC Decoding

Abstract: Decoding low-density parity-check codes is critical in many current technologies, such as fifth-generation (5G) wireless networks and satellite communications. The belief propagation algorithm allows for fast decoding due to the low density of these codes. However, there is scope for improvement to this algorithm both in terms of its computational cost when decoding large […]

Real Variance-Based Variational Quantum Eigensolver for Non-Hermitian Matrices

Abstract: Non-Hermitian operators naturally arise in the description of open quantum systems, which exhibit features such as resonances and decay processes, where the associated eigenvalues are complex. Standard quantum algorithms, including the Variational Quantum Eigensolver (VQE), are designed for Hermitian operators and are ineffective in recovering correct eigenvalues for non-Hermitian matrices. We present a systematic […]

Recursive Alternating Amplitude Embedding: A Hybrid Quantum Circuit Architecture for Balanced Depth and Width

Abstract: Transforming classical data into quantum states is an important step in quantum information processing and quantum machine learning. Among various encoding methods, Amplitude Embedding is particularly attractive due to its exponential compression capability, allowing exponentially many classical values to be encoded using only a linear number of qubits. However, existing state preparation methods exhibit […]

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

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 […]

Improved BP Decoding with Multiple Error-Path Detection for Topological Quantum Codes

Abstract: Topological quantum codes are promising candidates for realizing fault-tolerant quantum computing. In this context, belief propagation (BP) decoding is an efficient method for topological codes, offering high error-correction performance with low complexity. However, BP decoding suffers significant performance degradation due to quantum trapping sets (QTSs). Although various decoding schemes have been proposed to mitigate […]

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

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 […]

Qubit-Efficient Quantum Circuit for the Minimum Vertex Cover Problem Using Grover’s Algorithm

Abstract: The Minimum Vertex Cover (MVC) problem is a fundamental NP-hard combinatorial optimization problem with applications in network security, resource allocation, and scheduling. As quantum computing moves toward fault-tolerant operation, developing qubit-efficient algorithms remains a critical challenge. This paper presents three quantum circuit architectures for solving MVC and its weighted variant using Grover’s search algorithm: […]