Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Discrete-variable assisted error correction of continuous-variable quantum information
Negin Razian, En-Jui Chang, Hoi-Kwan Lau·Apr 8, 2026
Robust continuous-variable (CV) quantum information processing requires correcting realistic errors in bosonic systems, but all existing schemes rely on auxiliary Gottesman-Kitaev-Preskill (GKP) states which the preparation and operation are demandin...
Evaluating PQC KEMs, Combiners, and Cascade Encryption via Adaptive IND-CPA Testing Using Deep Learning
S. Calderón, Niklas Johansson, Onur Gunlu·Apr 8, 2026
Ensuring ciphertext indistinguishability is fundamental to cryptographic security, but empirically validating this property in real implementations and hybrid settings presents practical challenges. The transition to post-quantum cryptography (PQC), ...
HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
Md Aminur Hossain, Ayush V. Patel, Siddhant Gole +2 more·Apr 8, 2026
Remote sensing semantic segmentation requires models that can jointly capture fine spatial details and high-level semantic context across complex scenes. While classical encoder-decoder architectures such as U-Net remain strong baselines, they often ...
Soft-Quantum Algorithms
Basil Kyriacou, Mo Kordzanganeh, Maniraman Periyasamy +1 more·Apr 7, 2026
Quantum operations on pure states can be fully represented by unitary matrices. Variational quantum circuits, also known as quantum neural networks, embed data and trainable parameters into gate-based operations and optimize the parameters via gradie...
Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics
Danil Vyskubov, Kirill Vyskubov, Nouhaila Innan +1 more·Apr 7, 2026
Hybrid quantum neural networks are increasingly explored for classification, yet it remains unclear how their performance and quantum behavior scale with circuit depth and qubit count. We present a controlled scaling study of hybrid quantum-classical...
Hybrid Quantum-Classical Algorithm for Hamiltonian Simulation
Nhat A. Nghiem, Tzu-Chieh Wei·Apr 7, 2026
We introduce a hybrid classical-quantum algorithm for simulating a Hamiltonian of the form $H= \sum_{i=1}^K H_i = \sum_{i=1}^K H_{i_1} \otimes H_{i_2} \otimes \cdots \otimes H_{i_M}$. Given that the entries of all $\{ H_{i_1}, H_{i_2} , \cdots , H_{i...
Generalized hydrodynamics of free fermions under extensive-charge monitoring
Pablo Bayona-Pena, Michele Mazzoni, Lorenzo Piroli·Apr 7, 2026
We study transport dynamics of free fermions subject to the external monitoring of a conserved charge over an extensive region. Focusing on bipartition protocols, we consider monitoring the total particle number over half of the system, and study the...
Qurator: Scheduling Hybrid Quantum-Classical Workflows Across Heterogeneous Cloud Providers
Sinan Pehlivanoglu, Ulrik de Muelenaere, Peter Kogge +1 more·Apr 7, 2026
As quantum computing moves from isolated experiments toward integration with large-scale workflows, the integration of quantum devices into HPC systems has gained much interest. Quantum cloud providers expose shared devices through first-come first-s...
Accelerating Quantum State Encoding with SIMD: Design, Implementation, and Benchmarking
Riza Alaudin Syah, Irwan Alnarus Kautsar, Gunawan Witjaksono +1 more·Apr 7, 2026
Efficient data encoding is the main factor affecting how fast hybrid quantum-classical algorithms run, but traditional simulators spend most of their time changing classical features into quantum rotations. This work introduces Hybriqu Encoder, a Rus...
Quantum Algorithms for Heterogeneous PDEs: The Neutron Diffusion Eigenvalue Problem
Andrew M. Childs, Lincoln Johnston, Brian Kiedrowski +2 more·Apr 6, 2026
We develop a hybrid classical-quantum algorithm to solve a type of linear reaction-diffusion equation, the neutron diffusion (generalized) k-eigenvalue problem that establishes nuclear criticality. The algorithm handles an equation with piecewise con...
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
Mateusz Papierz, Asel Sagingalieva, Alix Benoit +3 more·Apr 6, 2026
Data-driven surrogates can replace expensive multiphysics solvers for parametric PDEs, yet building compact, accurate neural operators for three-dimensional problems remains challenging: in Fourier Neural Operators, dense mode-wise spectral channel m...
Coexistence of CHSH Nonlocality and KCBS Contextuality in a Single Quantum State
Khai Nguyen, Duc M. Doan, Hung Q. Nguyen·Apr 6, 2026
Contextuality and nonlocality are distinct manifestations at the foundation of quantum mechanics, yet their coexistence within a single quantum state remains subtle. In a hybrid CHSH--KCBS scenario involving the entanglment of a qubit and a qutrit, t...
Learning high-dimensional quantum entanglement through physics-guided neural networks
Yang Xu, Hao Zhang, Wenwen Zhang +5 more·Apr 3, 2026
High-gain spontaneous parametric down-conversion (SPDC) produces bright squeezed vacuum with rich high-dimensional entanglement, but its output is inherently multimodal and non-perturbative, making the full modal characterization a major computationa...
Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
Pradeep Mantha, Florian J. Kiwit, Nishant Saurabh +2 more·Apr 3, 2026
Hybrid quantum-classical applications pose significant resource management challenges due to heterogeneity and dynamism in both infrastructure and workloads. Quantum-HPC environments integrate quantum processing units (QPUs) with diverse classical re...
Routing Entanglement in Complex Quantum Networks Using GHZ States
Xin-An Chen, Caitao Zhan, Joaquin Chung +1 more·Apr 3, 2026
Distributing entanglement to distant parties in a network is a central task in quantum information processing and quantum networking. The sensitivity of entangled states to loss necessitates the use of entanglement routing strategies. Recently, a rou...
Generation of magnonic squeezed state and its superposition in a hybrid qubit-magnon system
Gang Liu, Junpeng Liu, Feng Qiao +1 more·Apr 3, 2026
We propose a protocol for generating magnonic squeezed states (MSS) and their superpositions (SMSS) in a hybrid system comprising a superconducting flux qubit magnetically coupled to the Kittel mode of a yttrium iron garnet (YIG) sphere. The flux qub...
Quantum Optimisation for Transport Vulnerability Identification
Junxiang Xu, Chence Niu, Divya Jayakumar Nair +1 more·Apr 3, 2026
Transport network vulnerability analysis plays a crucial role in safeguarding urban resilience. Traditional vulnerability identification approaches have provided valuable insights, yet they face two major limitations. First, the number of disruption ...
AQ-Stacker: An Adaptive Quantum Matrix Multiplication Algorithm with Scaling via Parallel Hadamard Stacking
Wladimir Silva·Apr 2, 2026
Matrix multiplication (MatMul) is the computational backbone of modern machine learning, yet its classical complexity remains a bottleneck for large-scale data processing. We propose a hybrid quantum-classical algorithm for matrix multiplication base...
Hybrid quantum-classical dynamics with stationary thermal states
Adrián A. Budini·Apr 2, 2026
Quantum and classical systems can consistently be coupled via non-unitary time-irreversible mechanisms. In this paper we characterize which kind of corresponding dynamics converge in the stationary regime to a thermal hybrid state, that is, a density...
QuantumXCT: Learning Interaction-Induced State Transformation in Cell-Cell Communication via Quantum Entanglement and Generative Modeling
Selim Romero, Shreyan Gupta, Robert S. Chapkin +1 more·Apr 2, 2026
Inferring cell-cell communication (CCC) from single-cell transcriptomics remains fundamentally limited by reliance on curated ligand-receptor databases, which primarily capture co-expression rather than the system-level effects of signaling on cellul...