Papers

Frederic Koehler, Pui Kuen Leung·Jul 22, 2026

Let $\mathbb{K}\in\{\mathbb{R},\mathbb{C},\mathbb{H}\}$, put $β=\dim_{\mathbb{R}}\mathbb{K}$, and let $G_n^{\mathbb{K}}$ be an $n\times n$ matrix with i.i.d. standard $\mathbb{K}$-Gaussian entries, namely a standard $\mathbb{K}$-Ginibre matrix. We pr...

Yanjun Chu, Yuhang Xie, Chenyang Cui +1 more·Jul 22, 2026

Quantum-state texture (QST) is an emerging quantum resource that has garnered increasing attention amid advances in quantum theory. In this work, we generalize the QST to quantum-state block texture (QSBT). This generalization provides profound opera...

M. C. Smith, E. Vandrey, A. D. Leu +5 more·Jul 22, 2026

Sympathetic cooling of data qubits by coolant ions is an essential technique for trapped-ion quantum computing. Conventionally a second ion species is used, requiring additional lasers and complicating optical setups. We propose a scheme for sympathe...

Kicheon Kang·Jul 22, 2026

The fractional angular momentum of a two-dimensional charge-flux composite is a well-established phenomenon usually derived from a semiclassical Hamiltonian. However, when the composite is treated as an isolated system in free two-dimensional space, ...

Yanjun Chu, Chenyang Cui, Yuhang Xie +2 more·Jul 22, 2026

Local unitary equivalence is central to entanglement quantification and classification. Identifying the local unitary equivalence remains a formidable challenge. We address this problem for a class of quantum states with one highly degenerate eigenva...

Zan Cao, Meng-Long Song, Xue-Ke Song +2 more·Jul 22, 2026

The fundamental interactions governed by quantum electrodynamics (QED) are intrinsically rich in quantum resources, yet how these resources dynamically redistribute during relativistic scattering is still not fully understood. In this work, we system...

Pablo Guillermo Carmona Rufo, Anupam Mazumdar, Carlos Sabín·Jul 22, 2026

We study the dynamics of quantum entanglement between two harmonically trapped electrons interacting via the electromagnetic force. Starting from two-mode Gaussian states at thermal equilibrium, we make use of the covariance matrix formalism in order...

M. Avicena, G. Bourcin, V. Vlaminck +2 more·Jul 22, 2026

Coupling phases play a decisive yet often overlooked role in cavity magnonics, particularly in complex multimode systems. Here, we investigate phase-mediated interference effects in a cavity magnonics system comprising a four-post re-entrant microwav...

Clarisse Fournier, Johannes Düreth, Elena Fanella +12 more·Jul 22, 2026

Engineering the photonic environment using lattices of coupled resonators, which we refer to as lattice quantum electrodynamics (QED), provides a route to control both the spontaneous emission of individual quantum emitters and the photon-mediated in...

Seongmin Kim, Abhinav Rijal, Yuri Alexeev +5 more·Jul 22, 2026

While combinatorial optimization problems are central to many scientific and engineering applications, their solution remains challenging due to exponentially large search spaces. Variational quantum algorithms offer a promising route for tackling su...

Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen +3 more·Jul 22, 2026

We study redundancy and effectiveness of Variational Quantum Circuits via algebraic and geometric views of Lie groups. Considering unitary transformations acting on Hermitian observables, a stabilizer group decomposition is given. Subsequently, we id...

Thiago Guerreiro·Jul 22, 2026

We propose a protocol for preparing mechanical Schrödinger kittens -- mesoscopic quantum superpositions of coherent motional states of an optically levitated nanoparticle -- by adhering single electron time-bin states to its surface. Over short proto...

Junchi Shen·Jul 22, 2026

Do quantum kernels improve cross-sectional stock return prediction? We run a controlled horse race on the Chinese A-share market in which a quantum fidelity kernel, a projected quantum kernel, and a classical RBF control share identical training subs...

Stefano Radice, Ludovico Casaccia, Riccaro Emanuele Beccalli +2 more·Jul 22, 2026

The growing demand for intelligent processing at the edge of IoT networks is constrained by the severe computational and memory limitations of microcontroller units, which render impractical conventional deep learning approaches. We propose a neuromo...

Diego Ruiz, Jérémie Guillaud, Christophe Vuillot +1 more·Jul 22, 2026

Qubits with strongly biased noise, in which phase-flip errors are orders of magnitude more frequent than bit-flips, arise both naturally, as in electron and nuclear spins, and by engineering, as in stabilized cat qubits. This noise structure holds th...

Mohsen Moradi, Taejoon Kim, Rémi A. Chou +1 more·Jul 22, 2026

Belief-propagation (BP) decoding for quantum low-density parity-check (QLDPC) codes is attractive due to its low complexity, but its performance is often limited by short cycles, degeneracy, and convergence failures. Recently, reinforcement-learning-...

Yuna Gouin, Sugumi Kanno, Jiro Soda·Jul 22, 2026

A graviton can be converted into a phonon in a resonant bar detector. First-order perturbation theory predicts a strong enhancement of this conversion for coherent and squeezed graviton states, but the probability can exceed unity when the coherent o...

Oliver Passon, Bernd Rosenow·Jul 22, 2026

The Schrödinger equation can be rewritten as a second-order equation for a single real-valued scalar field. Taken at face value, however, this one-field reduction obscures several local structures of quantum mechanics: the Born density and current, t...

P. E. Trevisanutto, S. Dhanpal, S. Basak +2 more·Jul 22, 2026

We introduce a physics-informed graph neural network decoder for the surface code. A discrete Poisson equation on the syndrome graph acts as a hard inductive bias on which a graph encoder learns syndrome-adaptive edge weights. A differentiable solver...

Farah Elnakhal, Alberto Marchisio, Nouhaila Innan +2 more·Jul 22, 2026

Physical noise in near-term quantum hardware is usually treated as a nuisance to suppress. We ask whether it can instead act as a hardware-native regularizer for photonic hybrid quantum-classical neural networks (PHQCNNs), analogous to noise-injectio...