Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
GKP-inspired high-dimensional superdense coding with energy-time entanglement
Kai-Chi Chang, Arjun Mirani, Murat Can Sarihan +4 more·Feb 16, 2026
Superdense coding, the application of entanglement to boost classical communication capacity, is a cornerstone of quantum communication. In this paper, we propose a high-dimensional superdense coding protocol using energy-time entangled states. These...
Spectral signatures of nonstabilizerness and criticality in infinite matrix product states
Andrew Hallam, Ryan Smith, Zlatko Papić·Feb 16, 2026
While nonstabilizerness (''magic'') is a key resource for universal quantum computation, its behavior in many-body quantum systems, especially near criticality, remains poorly understood. We develop a spectral transfer-matrix framework for the stabil...
Gravitational Decoherence Estimation in Optomechanical Systems
Leonardo A. M. Souza, Olimpio P. de Sá Neto, Enrico Russo +2 more·Feb 16, 2026
We develop a comprehensive quantum estimation framework to quantify how precisely gravitationally induced decoherence can be inferred in optomechanical systems, using single-mode Gaussian probe states. Our approach combines a microscopic description ...
Localization Tensor Revisited: Geometric-Probabilistic Foundations and a Structure-Factor Criterion under Periodic Boundaries
Zhe-Hao Zhang, Xiaoming Cai, Yi-Cong Yu·Feb 16, 2026
We revisit the localization tensor (LT) from geometric and probabilistic perspectives and construct extensions that are naturally compatible with periodic boundary conditions (PBC), without redefining the position operator. In open boundary condition...
Multi-level spectral navigation with geometric diabatic-adiabatic control
Christian Ventura-Meinersen, Edmondo Valvo, Stefano Bosco +1 more·Feb 16, 2026
We introduce a geometric framework for efficient few-parameter pulse optimization in multi-level quantum systems, enabling high-fidelity state transfer beyond the adiabatic limit. Our method interpolates smoothly between adiabatic and diabatic dynami...
The Signal Horizon: Local Blindness and the Contraction of Pauli-Weight Spectra in Noisy Quantum Encodings
Ait Haddou Marwan·Feb 16, 2026
The performance of quantum classifiers is typically analyzed through global state distinguishability or the trainability of variational models. This study investigates how much class information remains accessible under locality-constrained measureme...
Projections with Respect to Bures Distance and Fidelity: Closed-Forms and Applications
A. Afham, Marco Tomamichel·Feb 16, 2026
We derive simple and unified closed-form expressions for projections with respect to fidelity (equivalently, the Bures and purified distances) onto several sets of interest. These include projections of bipartite positive semidefinite (PSD) matrices ...
Quantum Reservoir Computing with Neutral Atoms on a Small, Complex, Medical Dataset
Luke Antoncich, Yuben Moodley, Ugo Varetto +5 more·Feb 16, 2026
Biomarker-based prediction of clinical outcomes is challenging due to nonlinear relationships, correlated features, and the limited size of many medical datasets. Classical machine-learning methods can struggle under these conditions, motivating the ...
Generalized Zernike Phase-Contrast Imaging
Christian Dwyer, David M. Paganin·Feb 16, 2026
Zernike phase-contrast imaging is unique among imaging techniques in that it enables the upper limit of Fisher information allowed by quantum mechanics. Here we show that, in a departure from an ideal setting, using an incident beam of finite width, ...
Dissipative Spectroscopy
Xudong He, Yu Chen·Feb 16, 2026
We introduce dissipative spectroscopy as a framework for extracting spectral information from quantum systems via controlled dissipation. By establishing a general dissipative response theory applicable to both Markovian and non-Markovian environment...
Forked Physics Informed Neural Networks for Coupled Systems of Differential equations
Zhao-Wei Wang, Zhao-Ming Wang·Feb 16, 2026
Solving coupled systems of differential equations (DEs) is a central problem across scientific computing. While Physics Informed Neural Networks (PINNs) offer a promising, mesh-free approach, their standard architectures struggle with the multi-objec...
The Multiparameter Frontier: Metrological Hierarchy and Robustness in Dispersive Quantum Interferometry
Lucas Ferreira R. de Moura, Daniel Y. Akamatsu, G. D. de Moraes Neto +1 more·Feb 16, 2026
We present a dispersive quantum thermometry protocol for simultaneous estimation of inverse temperature $β$ and interaction strength $x$ using a nonlinear Mach-Zehnder interferometer coupled to a thermal ancilla. We derive closed-form expressions for...
Anonymous quantum sensing robust against state preparation errors
Hiroto Kasai, Seiichiro Tani, Yasuhiro Tokura +1 more·Feb 16, 2026
Networked quantum sensors have several applications such as the mapping of magnetic fields. When the magnetic fields are biomagnetic ones, i.e., they contain some private information, the information of from who non-zero magnetic fields occur has to ...
High-fidelity Quantum Readout Processing via an Embedded SNAIL Amplifier
Leon Bello, Boris Mesits, Michael Hatridge +1 more·Feb 15, 2026
Scalable, high-fidelity quantum-state readout remains a central challenge in the development of large-scale superconducting quantum processors. Conventional dispersive readout architectures depend on bulky isolators and external amplifiers, introduci...
Fully integrated quantum frequency processor on a silicon chip
Sara Congia, Leopold Virot, Elena Rovetta +5 more·Feb 15, 2026
Frequency-bin encoding has recently emerged as a powerful approach for photonic quantum information processing, offering high dimensionality, gate-parallelization, and compatibility with existing telecommunication infrastructure. However, its scalabl...
Torsion-Induced Quantum Fluctuations in Metric-Affine Gravity using the Stochastic Variational Method
Tomoi Koide, Armin van de Venn·Feb 14, 2026
This review paper comprehensively examines the influence of spatial torsion on quantum fluctuations from the perspectives of Metric-Affine Gravity (MAG) and the Stochastic Variational Method (SVM). We first outline the fundamental framework of MAG, a...
High-Field NMR Characterization and Indirect $J$-Spectroscopy of a Nuclear Spin Chain [U-$^{13}$C,$^{15}$N]-butyronitrile
Alexey Kiryutin, Ivan Zhukov, Danil Markelov +3 more·Feb 14, 2026
One-dimensional chains of coupled spins are minimal models of strongly correlated quantum matter, and have been proposed as wires for transporting quantum information. In liquids, rapid molecular tumbling averages anisotropic dipolar couplings and le...
Defect relative entropy in symmetric orbifold CFTs
Mostafa Ghasemi·Feb 14, 2026
In this work, we compute the defect relative entropy between topological defects in the symmetric product orbifold CFT $\mathrm{Sym}^N(M) = M^{\otimes N}/S_N$. Our analysis covers two distinct classes of defects: universal defects, which realize the ...
Strong-Field Quantum Metrology Beyond the Standard Quantum Limit
Tsendsuren Khurelbaatar, R. T. Sang, Igor Litvinyuk·Feb 14, 2026
Bridging quantum optics and strong-field physics provides a pathway to explore how quantum light shapes extreme nonlinear light-matter interactions. However, direct characterization of non-classical light at damage-threshold intensities remains an op...
Efficient discrimination schemes for unextendible product bases with strong quantum nonlocality
Qiqi Feng, Huaqi Zhou, Limin Gao·Feb 14, 2026
Entanglement is a central resource in quantum information science; therefore, it is important to design local discrimination protocols that minimize resource consumption. In this paper, we propose three entanglement-allocation schemes for the local d...