Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Deriving the Eigenstate Thermalization Hypothesis from Eigenstate Typicality and Kinematic Principles
Yucheng Wang·Dec 15, 2025
The eigenstate thermalization hypothesis (ETH) provides a powerful framework for understanding thermalization in isolated quantum many-body systems, yet a complete and conceptually transparent derivation has remained elusive. In this work, we derive ...
Fault-tolerant multi-qubit gates in Parity Codes
Anette Messinger, Christophe Goeller, Wolfgang Lechner·Dec 15, 2025
We present a set of efficiently implementable logical multi-qubit gates in concatenated quantum error correction codes using parity qubits. In particular, we show how fault-tolerant high-weight rotation gates of arbitrary angle can be implemented on ...
Projected Optimal Sensors from Operator Orbits
Sooryansh Asthana, Yeshma Ibrahim, Norman Tze Wei Koo +1 more·Dec 15, 2025
We unify Ramsey, twist-untwist, and random quantum sensors using operator algebra and account for the Fisher scaling of various sensor designs. We illustrate how the operator orbits associated with state preparation inform the scaling of the sensitiv...
Coherent feedback-enhanced asymmetry of thermal process in open quantum systems: Cavity optomechanics
Hamza Harraf, Mohamed Amazioug, Rachid Ahl Laamara·Dec 15, 2025
Entropy production is a fundamental concept in nonequilibrium thermodynamics, providing a direct measure of the irreversibility inherent in any physical process. In this work, we investigate in steady-state the enhancement of irreversibility employin...
Dual-Qubit Hierarchical Fuzzy Neural Network for Image Classification: Enabling Relational Learning via Quantum Entanglement
Wenwei Zhang, Jintao Wang, Tianyu Ye +1 more·Dec 15, 2025
Classical deep neural network models struggle to represent data uncertainty and capture dependencies between features simultaneously, especially under fuzzy or noisy conditions. Although a quantum-assisted hierarchical fuzzy neural network (QA-HFNN) ...
Slowing and Storing Microwaves in a Single Superconducting Fluxonium Artificial Atom
Ching-Yeh Chen, Shih-Wei Lin, Ching-Ping Lee +3 more·Dec 15, 2025
Three-level Lambda systems provide a versatile platform for quantum optical phenomena such as Electromagnetically Induced Transparency (EIT), slow light, and quantum memory. Such Lambda systems have been realized in several quantum hardware platforms...
Distillation of continuous variable qudits from single photon sources: A cascaded approach
Devibala Esakkimuthu, Basherrudin Mahmud Ahmed Abduljaffer·Dec 15, 2025
Creation of high fidelity photonic quantum states in the continuous variable regime is indispensable for the implementation of quantum technologies universally. However, this is a challenging task as it requires higher nonlinearity or larger Fock sta...
High-purity frequency-degenerate photon pair generation via cascaded SFG/SPDC in thin film lithium niobate
Olivia Hefti, Marco Clementi, Enrico Melani +12 more·Dec 15, 2025
Frequency-degenerate photon pairs generated using nonlinear photonic integrated devices are a crucial resource for scalable quantum information processing and metrology. However, their realization is hindered by unwanted parametric processes occurrin...
A Conjecture on Almost Flat SIC-POVMs
Ingemar Bengtsson, Markus Grassl·Dec 15, 2025
A well supported conjecture states that SIC-POVMs -- maximal sets of complex equiangular lines -- with anti-unitary symmetry give rise to an identity expressing some of its overlaps as squares of the (rescaled) components of a suitably chosen fiducia...
Investigation of a Bit-Sequence Reconciliation Protocol Based on Neural TPM Networks in Secure Quantum Communications
Matvey Yorkhov, Vladimir Faerman, Anton Konev·Dec 15, 2025
The article discusses a key reconciliation protocol for quantum key distribution (QKD) systems based on Tree Parity Machines (TPM). The idea of transforming key material into neural network weights is presented. Two experiments were conducted to stud...
Tales of Hoffman: from a distance
Aida Abiad, Jan Meeus·Dec 15, 2025
Hoffman proved that a graph $G$ with adjacency eigenvalues $λ_1\geq \cdots \geq λ_n$ and chromatic number $χ(G)$ satisfies $χ(G)\geq 1+κ,$ where $κ$ is the smallest integer such that $$λ_1+\sum_{i=1}^κλ_{n+1-i}\leq 0.$$ We extend this eigenvalue boun...
Onsager's Real Cavity model near solid interfaces
Johannes Fiedler, Drew F. Parsons·Dec 15, 2025
We develop an extended Onsager real-cavity framework to describe the Casimir-Polder interaction of small molecules dissolved in dielectric liquids near planar interfaces. By analytically resolving the geometry of the cavity opening, we derive a close...
Practical Homodyne Shadow Estimation
Ruyu Yang, Xiaoming Sun, Hongyi Zhou·Dec 15, 2025
Shadow estimation provides an efficient framework for estimating observable expectation values using randomized measurements. While originally developed for discrete-variable systems, its recent extensions to continuous-variable (CV) quantum systems ...
Quantum critical dynamics and emergent universality in decoherent digital quantum processors
Brendan Rhyno, Swarnadeep Majumder, Smitha Vishveshwara +1 more·Dec 15, 2025
Understanding how noise influences nonequilibrium quantum critical dynamics is essential for both fundamental physics and the development of practical quantum technologies. While the quantum Kibble-Zurek (QKZ) mechanism predicts universal scaling dur...
Intense-Laser Nondipole-Induced Symmetry Breaking in Solids
Asger Weeth, Lars Bojer Madsen·Dec 15, 2025
High-harmonic spectroscopy in solids gives insight into the inner workings of solids, such as reconstructing band structures or probing the topological phase of materials. High-harmonic generation (HHG) is a highly non-linear phenomena and simulation...
A Joint Quantum Computing, Neural Network and Embedding Theory Approach for the Derivation of the Universal Functional
Martin J. Uttendorfer, Daniel Barragan-Yani, Matthias Sperl +1 more·Dec 15, 2025
We introduce a novel approach that exploits the intersection of quantum computing, machine learning and reduced density matrix functional theory to leverage the potential of quantum computing to improve simulations of interacting quantum particles. O...
Genuine Tripartite Strong Coupling in a Superconducting-Spin Hybrid Quantum System
Yingqiu Mao, Han-Yu Ren, Zi-Yi Liu +12 more·Dec 15, 2025
We demonstrate genuine tripartite strong coupling in a solid-state hybrid quantum system comprising a superconducting transmon qubit, a fixed-frequency coplanar-waveguide resonator, and an ensemble of NV$^-$ centers in diamond. Frequency-domain spect...
Neural quantum states for entanglement depth certification from randomized Pauli measurements
Marcin Płodzień·Dec 15, 2025
Entanglement depth quantifies how many qubits share genuine multipartite entanglement, but certification typically relies on tailored witnesses or full tomography, both of which scale poorly with system size. We recast entanglement-depth and non-$k$-...
Emergence of long-range entanglement and odd-even effect in periodic generalized quantum cluster models
Zhen-Yu Zheng, Shu Chen·Dec 15, 2025
We investigate the entanglement properties in a generalized quantum cluster model under periodic boundary condition. By evaluating the quantum conditional mutual information entropy under four subsystem partitions, we identify clear signatures of lon...
Unraveling real-time chemical shifts in the ultrafast regime
Daniel E. Rivas, Lorenzo Paoloni, Rebecca Boll +21 more·Dec 15, 2025
Traditional x-ray photoelectron spectroscopy (XPS) relies upon a direct mapping between the photoelectron binding energies and the local chemical environment, which is well-characterized by an electrostatic partial charges model for systems in equili...