Hybrid Quantum Capsule Network: Quantum Transformation Circuit as Vote Transformation in Image Classification

Abstract: Capsule Network (CapsNet) provides a richer hierarchical representation than conventional neural networks through vector-shaped capsules and inter-capsule routing. However, most CapsNet designs still rely on classic matrix-multiplication-based vote transformations, which limit the formation of the prediction vector to linear mappings in Euclidean space. In this paper, we propose the Hybrid Quantum Capsule Network (HQCapsNet), […]

Variational Quantum Eigensolver: A Comparative Analysis of Classical and Quantum Optimizer Methods

Abstract: In this study, we investigated the Variational Quantum Eigensolver (VQE) application for the Ising model as a testbed model, in which we thoroughly delved into several optimizers, both classical and quantum, and analyzed the extent to which each of these methods would offer a benefit. We then investigated a new combinatorial optimization scheme, termed […]

Detection Error Probability Analysis over Atmospheric Quantum Channels with Pointing Errors: A Physically Admissible Bounded Transmissivity Framework

Abstract: We develop an exact error probability framework for quantum free space optics (FSO) communication over atmospheric channels with turbulence and pointing errors under a physically admissible bounded transmissivity model. The proposed framework is grounded in the fundamental physical observation that, in a quantum optical channel, the random channel quantity is the transmissivity itself, namely, […]

Quantum Squeeze-and-Excitation Networks: Harnessing Quantum Noise for Robust Attention Mechanisms in Hybrid Architectures

Abstract: By simulating the selective focus characteristics of human visual attention, the attention network has greatly improved the model’s ability to capture key features, promoting significant progress in natural language processing, computer vision and other fields. As a typical attention mechanism, the Squeeze-and-Excitation (SE) module finely adjusts the feature representation of the neural network by […]

Routing in Non-Isotonic Quantum Networks

Abstract: Optimal routing in quantum-repeater networks requires finding the best path that connects a pair of end nodes. Most previous work on routing in quantum networks assumes utility functions that are isotonic, meaning that the ordering of two paths does not change when extending both with the same edge. However, we show that utility functions […]

Quantum Repeater Chains via Cavity-Magnon for Scalable Quantum Networks

Abstract: Scalable quantum networks require quantum repeaters to overcome major challenges such as photon loss and decoherence in long-distance quantum communication. In this paper, we present a cavity-magnon quantum repeater architecture that exploits the frequency tunability and hybrid integration capabilities of magnonic platforms to enable efficient entanglement swapping across multi-hop networks. The coherence budget is […]

Quantum-Based Resilient Routing in Networks: Minimizing Latency Under Dual-Link Failures

Abstract: Network optimization problems represent large combinatorial search spaces that grow exponentially with network size, making them computationally intensive to solve. This paper addresses the latency-resilient Layer 3 routing optimization problem in telecommunications networks with predefined Layer 1 optical links. We formulate this problem as a graph-based optimization problem with the objective of minimizing latency, […]

Impact of Interface Properties on Direct Tunneling in Al/ALD-Al₂O₃/Al Capacitors for Josephson Junction Applications

Abstract: The Al/AlOx/Al system is widely used for the fabrication of Josephson junctions, which constitute the central element of superconducting qubits. The process parameters for growing ultra-thin AlOx barriers by thermal oxidation in-between physical vapor deposition (PVD) runs of Al films are well understood, but the resulting barriers present several drawbacks that limit performance such […]

Quantum Computing for Computational Sciences

Abstract: This paper presents a comprehensive survey of the current frontier in quantum computing for computational sciences, evaluating the technical requirements to translate theoretical asymptotic speedups into practical utility in the areas of chemistry, biochemistry, and materials science. We review foundational algorithms, including the Quantum Fourier Transform (QFT), Quantum Phase Estimation (QPE), and the quantum […]

A Novel n⁺/i-well Dot Ge₁₋ₓSnₓ-on-Si Single-Photon Avalanche Photodiode for High-Fill-Factor Room-Temperature Quantum Applications

Abstract: We propose a novel design of Ge1-xSnx-on-Si single-photon avalanche photodiodes (SPADs) that aim to enhance the fill factor (FF) and minimize noise at room temperature. The device consists of a n+/i-well dot structure designed to eliminate the need for guard rings and multi-dot or array configurations typically used to enhance the active area. This […]