Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Enhanced multiparameter quantum estimation in cavity magnomechanics via a coherent feedback loop
Adnan Naimy, Abdallah Slaoui, Abderrahim Lakhfif +1 more·Feb 16, 2026
Multiparameter quantum metrology plays a fundamental role in uncovering and exploiting the distinctive features of quantum systems. In this work, we propose an effective and experimentally feasible scheme to significantly enhance the simultaneous qua...
NISQ-compatible quantum cryptography based on Parrondo dynamics in discrete-time quantum walks
Aditi Rath, Dinesh Kumar Panda, Colin Benjamin·Feb 16, 2026
Compatibility with noisy intermediate-scale quantum (NISQ) devices is crucial for the realistic implementation of quantum cryptographic protocols. We investigate a cryptographic scheme based on discrete-time quantum walks (DTQWs) on cyclic graphs tha...
Kernel-based optimization of measurement operators for quantum reservoir computers
Markus Gross, Hans-Martin Rieser·Feb 16, 2026
Finding optimal measurement operators is crucial for the performance of quantum reservoir computers (QRCs), since they employ a fixed quantum feature map. We formulate the training of both stateless (quantum extreme learning machines, QELMs) and stat...
Geometric Visualizations of Quantum Mixed States and Density Matrices
Athanasios Kostikas, Yaroslav Valchyshen, Paul Cadden-Zimansky·Feb 16, 2026
This paper presents an introduction to geometric representations of quantum states in which each distinct quantum state, pure and mixed, corresponds to a unique point in a Euclidean space. Beginning with a review of some underappreciated properties o...
Boundary conditions for the Schrödinger equation in the numerical simulation of quantum systems
Marco Patriarca·Feb 16, 2026
We study the problem of the boundary conditions in the numerical simulation of closed and open quantum systems, described by a Schrödinger equation. On one hand, we show that a closed quantum system is defined by local boundary conditions. On the oth...
Exploiting the path-integral radius of gyration in open quantum dynamics
Andrew C. Hunt, Stuart C. Althorpe·Feb 16, 2026
A major challenge in open quantum dynamics is the inclusion of Matsubara-decay terms in the memory kernel, which arise from the quantum-Boltzmann delocalisation of the bath modes. This delocalisation can be quantified by the radius of gyration square...
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 ...
On the possibility of differential-algebraic elimination of the spinor field from the Maxwell--Dirac electrodynamics
Andrey Akhmeteli·Feb 16, 2026
We investigate whether the spinor field can be differential-algebraically eliminated from the Maxwell--Dirac equations in a particular gauge. To this end, we construct a generic truncated power-series solution and linearize the prolonged system of th...
On the challenge of simulating dipolar contributions to spin relaxation with generalized cluster correlation expansion methods
Conor Ryan, Alessandro Lunghi·Feb 16, 2026
The study of spin decoherence is often performed by assuming that spin-phonon interactions lead to relaxation at high temperatures, and spin-spin dipolar interactions instead contribute to pure dephasing at low temperatures. This has resulted in the ...
Quantum-Inspired Tensor Networks for Approximating PDE Flow Maps
Nahid Binandeh Dehaghani, Ban Q. Tran, Rafal Wisniewski +2 more·Feb 16, 2026
We investigate quantum-inspired tensor networks (QTNs) for approximating flow maps of hydrodynamic partial differential equations (PDEs). Motivated by the effective low-rank structure that emerges after tensorization of discretized transport and diff...
The road of quantum entanglement: from Einstein to 2022 Nobel Prize in Physics
Yu Shi·Feb 16, 2026
We explain the achievements that were awarded 2022 Nobel Prize in Physics, as well as the preceding and the later developments. The main notions and historic cornerstones of Bell inequalities, the related researches on quantum entanglement are review...
Quantum-Assisted Trainable-Embedding Physics-Informed Neural Networks for Parabolic PDEs
Ban Q. Tran, Nahid Binandeh Dehaghani, Rafal Wisniewski +2 more·Feb 16, 2026
Physics-informed neural networks (PINNs) have emerged as a powerful framework for solving partial differential equations (PDEs) by embedding governing physical laws directly into the training objective. Recent advances in quantum machine learning hav...
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, ...
Geometry of Quantum Logic Gates
M. W. AlMasri·Feb 16, 2026
In this work, we investigate the geometry of quantum logic gates within the holomorphic representation of quantum mechanics. We begin by embedding the physical qubit subspace into the space of holomorphic functions that are homogeneous of degree one ...
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...
Sparse identification of quantum Hamiltonian dynamics via quantum circuit learning
Yusei Tateyama, Yuzuru Kato·Feb 16, 2026
Sparse identification of nonlinear dynamics (SINDy) is a data-driven framework for estimating classical nonlinear dynamical systems from time-series data. In this approach, system dynamics is represented as a linear combination of a predefined set of...
Effective Caldirola-Kanai Model for Accelerating Twisted Dirac States in Nonuniform Axial Fields
N. V. Filina, S. S. Baturin·Feb 16, 2026
We study relativistic twisted (orbital-angular-momentum) states of a massive charged particle propagating through an axially symmetric, longitudinally inhomogeneous solenoid field and a co-directed accelerating or decelerating electric field. Startin...
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...
Fundamental questions on robustness and accuracy for classical and quantum learning algorithms
Nana Liu·Feb 16, 2026
This chapter introduces and investigates some fundamental questions on the relationship between accuracy and robustness in both classical and quantum classification algorithms under noisy and adversarial conditions. We introduce and clarify various d...
Bell-like States in Classical Optics: A Process-Theoretic and Sheaf-Theoretic (Categorical) Clarification
Partha Ghose·Feb 16, 2026
Classical polarization optics is naturally described by a two-dimensional complex Hilbert space (Jones vectors), so the tensor-product kinematics underlying bipartite nonseparability is already available classically. For statistical (stochastic) opti...