Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Nonlinear quantum optomechanics in a Fano-mirror microcavity system
Lei Du, Juliette Monsel, Witlef Wieczorek +1 more·Feb 23, 2026
We study a Fano-mirror optomechanical system in the quantum nonlinear regime. In this system, two strongly lossy optical modes hybridize through both coherent and dissipative couplings to form an effective optical mode with a drastically reduced line...
Spectral Phase Encoding for Quantum Kernel Methods
Pablo Herrero Gómez, Antonio Jimeno Morenilla, David Muñoz-Hernández +1 more·Feb 23, 2026
Quantum kernel methods are promising for near-term quantum ma- chine learning, yet their behavior under data corruption remains insuf- ficiently understood. We analyze how quantum feature constructions degrade under controlled additive noise. We intr...
Gravitational Poissonian Spontaneous Localization Model of Hybrid Quantum-Classical Newtonian Gravity: Energy Increase and Experimental Bounds
Nicolò Piccione·Feb 22, 2026
The Gravitational Poissonian Spontaneous Localization (GPSL) model is a hybrid classical-quantum framework in which Newtonian gravity emerges from stochastic collapses of a smeared mass-density operator. Consistency of the hybrid dynamics entails mom...
Ion-atom two-qubit quantum gate based on phonon blockade
Subhra Mudli, Bimalendu Deb·Feb 22, 2026
In a previous paper [S. Mudli {\it et al.} Phys. Rev. A 110, 062618 (2024)], it was shown that a trapped ion can mediate interaction between two largely separated Rydberg atoms, and this mediated interaction can be leveraged to perform a universal tw...
Kaiwu-PyTorch-Plugin: Bridging Deep Learning and Photonic Quantum Computing for Energy-Based Models and Active Sample Selection
Hongdong Zhu, Qi Gao, Yin Ma +6 more·Feb 22, 2026
This paper introduces the Kaiwu-PyTorch-Plugin (KPP) to bridge Deep Learning and Photonic Quantum Computing across multiple dimensions. KPP integrates the Coherent Ising Machine into the PyTorch ecosystem, addressing classical inefficiencies in Energ...
Quantum Error Correction and Dynamical Decoupling: Better Together or Apart?
Victor Kasatkin, Mario Morford-Oberst, Arian Vezvaee +1 more·Feb 22, 2026
Quantum error correction/detection (QEC/QED) and dynamical decoupling (DD) are tools for protecting quantum information. A natural goal is to combine them to outperform either approach alone. Such a benefit is not automatic: physical DD can conflict ...
Quantum-enhanced satellite image classification
Qi Zhang, Anton Simen, Carlos Flores-Garrigós +7 more·Feb 20, 2026
We demonstrate the application of a quantum feature extraction method to enhance multi-class image classification for space applications. By harnessing the dynamics of many-body spin Hamiltonians, the method generates expressive quantum features that...
Polariton-polariton coherent coupling in a molecular spin-superconductor chip
Carolina del Río, Marcos Rubín-Osanz, David Rodriguez +12 more·Feb 20, 2026
The ability to establish coherent communication channels is key for scaling up quantum devices. Here, we engineer interactions between distant polaritons, hybrid spin-photon excitations formed at different lumped-element superconducting resonators wi...
Validation of an analyzability model for quantum software: a family of experiments
Ana Díaz-Muñoz, J. A. Cruz-Lemus, Moisés Rodríguez +2 more·Feb 20, 2026
The analyzability of hybrid software, which integrates both classical and quantum components, is a key factor in ensuring its maintainability and industrial adoption. This article presents the empirical validation, through a family of experiments, of...
A Study of Entanglement and Ansatz Expressivity for the Transverse-Field Ising Model using Variational Quantum Eigensolver
Ashutosh P. Tripathi, Nilmani Mathur, Vikram Tripathi·Feb 19, 2026
The Variational Quantum Eigensolver (VQE) is a leading hybrid quantum-classical algorithm for simulating many-body systems in the NISQ era. Its effectiveness, however, depends on the faithful preparation of eigenstates, which becomes challenging in d...
Near-perfect quantum teleportation between continuous and discrete encodings
Ravi Kamal Pandey, Shraddha Singh, Dhiraj Yadav +1 more·Feb 19, 2026
Quantum teleportation between polarized single-photon and phase-opposite coherent states is studied using a hybrid entangled resource and entangled coherent states. The polarized single-photon qubit represents a discrete-variable (DV) quantum system,...
Two-dimensional quantum lattice gas algorithm for anisotropic Burger-like equations
Niccoló Fonio, Pierre Sagaut, Giuseppe Di Molfetta·Feb 19, 2026
Building on hybrid quantum lattice gas algorithm, we revisit the possibilities of this quantum lattice model. By deriving a correction to the predicted viscosity, we provide analytical and numerical results that refine original formulation. We introd...
A rigorous hybridization of variational quantum eigensolver and classical neural network
Minwoo Kim, Kyoung Keun Park, Kyungmin Lee +2 more·Feb 19, 2026
Neural post-processing has been proposed as a lightweight route to enhance variational quantum eigensolvers by learning how to reweight measurement outcomes. In this work, we identify three general desiderata for such data-driven neural post-processi...
Phonon-enhanced strain sensitivity of quantum dots in two-dimensional semiconductors
Sumitra Shit, Yunus Waheed, Jithin Thoppil Surendran +4 more·Feb 19, 2026
Two-dimensional semiconductors have attracted considerable interest for integration into emerging quantum photonic networks. Strain engineering of monolayer transition-metal dichalcogenides (ML-TMDs) enables the tuning of light-matter interactions an...
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials on organic and inorganic compounds
G. Laskaris, D. Morozov, D. Tarpanov +6 more·Feb 18, 2026
Allegro is a machine learning interatomic potential (MLIP) model designed to predict atomic properties in molecules using E(3) equivariant neural networks. When training this model, there tends to be a trade-off between accuracy and inference time. F...
Intermodal quantum key distribution over an 18 km free-space channel with adaptive optics and room-temperature detectors
Edoardo Rossi, Ilektra Karakosta-Amarantidou, Matteo Padovan +9 more·Feb 18, 2026
Intermodal quantum key distribution at telecom wavelengths provides a hybrid interface between fiber connections and free-space links, both essential for the realization of scalable and interoperable quantum networks. Although demonstrated over short...
Enhancing delocalization and entanglement in asymmetric discrete-time quantum walks
Hao Zhao, Qiyan He, Fengzhi Yang +8 more·Feb 18, 2026
In this paper, we investigate the enhancement of delocalization and coin-position entanglement in asymmetric discrete-time quantum walks (DTQWs). The asymmetry results from asymmetric coin operations, asymmetric initial states, and asymmetric polariz...
Lie-Algebraic Analysis of Generators: Approximation-Error Bounds and Barren-Plateau Heuristics
Hiroshi Ohno·Feb 17, 2026
Lie algebras provide a useful framework for theoretical analysis in quantum machine learning, particularly in hybrid quantum-classical learning. From the viewpoint of function approximation, expectation values of parameterized quantum circuits can be...
Multi-emitter oscillating bound states in Waveguide QED
Sergi Terradas-Briansó, Carlos A. González-Gutiérrez, Iván Huarte +2 more·Feb 17, 2026
Waveguide quantum electrodynamics platforms have emerged as promising candidates for exploring and implementing non-Markovian quantum phenomena. In this work, we investigate the formation and dynamics of superpositions of bound states in a cavity arr...
Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era
Armin Ahmadkhaniha, Jake Doliskani·Feb 17, 2026
Graph neural networks (GNNs) are a powerful framework for learning representations from graph-structured data, but their direct implementation on near-term quantum hardware remains challenging due to circuit depth, multi-qubit interactions, and qubit...