Automated Active-Visibility-Control Loop for Stabilized DPS-QKD Decoding under Dynamic Wavelength Drift

Abstract: Automated and instantaneous stabilizing control of the quantum key decoder is the mandatory procedure, which guarantees real-time and high-speed differential-phase-shift (DPS) quantum key distribution (QKD) at low erroneous rate, and ensures the delay-line interferometric (DLI) decoding of the weak-coherent-pulse quantum bit-stream at a qualified and constant visibility. As the QKD system often suffers from […]

Topological Quantum Compilation Using Mixed-Integer Programming

Abstract: Quantum computation offers the potential to solve certain problems with substantial speed advantages over classical computing, but its practical realization is hindered by significant challenges associated with error propagation and decoherence. Topological quantum computing addresses these issues by encoding qubits in particular two-dimensional topological condensed matter systems, effectively described by topological quantum field theories, […]

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 […]

Resource-Efficient Emulation of Majorana Zero Mode Braiding on a Superconducting Trijunction

Abstract: Topological superconductivity could host quasiparticles that are key candidates for fault tolerant quantum computation due to their immunity to noise as they obey non-Abelian exchange statistics. For example, in the case of Majorana Zero Modes (MZM), braiding enables two topologically protected quantum gates. While their direct manipulation in solid-state systems remains experimentally challenging, digital […]

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 […]

Multilevel gate set optimization of quantum circuits for partial differential equations

Abstract: Solving partial differential equations (PDEs), which is pervasive in science and engineering, is emerging as a promising application area for quantum computing because it can be reduced to Hamiltonian simulation. Unlike quantum chemistry, Pauli-term expansion is not useful for a PDE Hamiltonian, since it ends up with an exponential number of Pauli terms. Recently, […]

DAG-Aware Gate Fusion for Efficient State-Vector Quantum Circuit Simulation

Abstract: Classical simulation remains a practical foundation for developing and evaluating quantum circuits, and state-vector methods are still among the most important exact simulation techniques. In this setting, gate fusion is a widely used optimization that combines multiple gates into a larger operator to reduce repeated state-vector traversal and improve execution efficiency. However, existing fusion […]

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 […]