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Live trends in quantum computing research, updated daily from arXiv.
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Macroscopic Quantum Resonators Path Finder (MAQRO-PF) White Paper
Jack Homans, Laura da Palma Barbara, Jakub Wardak +3 more·Dec 1, 2025
Optically levitated particles are used in a wide range of experiments to explore both fundamental physics and to act as sensors to a variety of external forces. One field of particular interest that these particles can be used to investigate is quant...
An introductory review of the theory of continuous-variable quantum key distribution: Fundamentals, protocols, and security
Maron F Anka, John A. Mora Rodríguez, Douglas F. Pinto +3 more·Dec 1, 2025
Continuous-variable quantum key distribution (CV-QKD) has emerged as a promising approach for secure quantum communication, offering advantages such as high key generation rates, compatibility with standard telecommunication infrastructure, and poten...
Continuity inequalities for sandwiched Rényi and Tsallis conditional entropies with application to the channel entropy continuity
Anna Vershynina·Dec 1, 2025
For the sandwiched Rényi entropy the conditional entropy can be defined two ways: $\widetilde{H}^\downarrow_α(A|B)_ρ, \widetilde{H}^\uparrow_α(A|B)_ρ$. In the limiting case, $α=1$, both definitions consolidate into conditional entropy $H(A|B)=S(AB)-S...
Folded optimal transport and its application to separable quantum optimal transport
Thomas Borsoni·Dec 1, 2025
We introduce folded optimal transport, as a method to extend a cost or distance defined on the extreme boundary of a convex to the whole convex, related to convex extension. This construction broadens the framework of standard optimal transport, foun...
Parametric excitation of a ferrimagnetic sphere resonator
Eyal Buks·Dec 1, 2025
The response of a ferrimagnetic sphere resonator to an externally applied parametric excitation is experimentally studied. Measurement results are compared with predictions derived from a theoretical model, which is based on the hypothesis that disen...
Formal equivalence between Maxwell equations and the de Broglie-Bohm theory for two-dimensional optical microcavities
Aurélien Drezet, Bernard Michael Nabet·Dec 1, 2025
We analyze the formal equivalence between the electromagnetic energy conservation law derived from Maxwell's equations in an optical microcavity and the conservation of a probability fluid associated with the de Broglie-Bohm theory for an effective m...
Antibunching in locally driven dissipative Lieb lattices
Alex Ferrier, Michał Matuszewski, Piotr Deuar +1 more·Dec 1, 2025
In Lieb lattices, geometric frustration and destructive interference of hopping cancels the occupation of certain sites, leading to flat-band physics. Here, we show numerically how, in the driven-dissipative Bose-Hubbard (DDBH) model arranged into Li...
A Three-Dimensional Array of Quantum Dots
Hanifa Tidjani, Dario Denora, Michael Chan +6 more·Dec 1, 2025
Quantum dots can confine single electrons or holes to define spin qubits that can be operated with high fidelity. Experimental work has progressed from linear to two-dimensional arrays of quantum dots, enabling qubit interactions that are essential f...
Robust hyperentanglement self testing
Yu-Hao Wang, Xing-Fu Wang, Ming-Ming Du +4 more·Dec 1, 2025
Hyperentanglement, which refers to entanglement encoded in two or more independent degrees of freedom (DOFs), is a valuable resource for the future high-capacity quantum network. Certifying hyperentanglement sources work as intended is critical for t...
A Platform for Evanescently Trapping Rb-87 Using Silicon Nitride Strip Waveguides Buried in Silica
Sam J. Harding, Carrie Weidner·Dec 1, 2025
Cold-atom systems have emerged as a highly promising avenue for quantum-enhanced position, navigation, and timing applications. However, their wider adoption is currently hampered in part by the large footprint of the systems. In leveraging the minia...
Resource Estimation for VQE on Small Molecules: Impact of Fermion Mappings and Hamiltonian Reductions
Anurag K. S. V., Ashish Kumar Patra, Vikas Dattatraya Ghevade +5 more·Dec 1, 2025
Accurate determination of ground-state energies for molecules remains a challenge in quantum chemistry and a cornerstone for progress in fields such as drug discovery and materials design. The Variational Quantum Eigensolver (VQE) represents a leadin...
Quantum computing applications in High Energy Physics: clustering, integration and generative models
Jorge J. Martínez de Lejarza·Dec 1, 2025
This PhD thesis explores the potential of quantum computing to address computational challenges in high-energy physics (HEP). As the Standard Model (SM) leaves key questions unanswered and no signs of new physics have emerged since the Higgs boson di...
Directly computing Wigner functions for open quantum systems
Nick Huggett, Christian Käding, Mario Pitschmann +1 more·Dec 1, 2025
The Wigner function is a well-known phase space distribution function with many applications in quantum mechanics. In this article, we consider an open quantum system consisting of a non-relativistic single particle interacting with a general, possib...
Fixed Points in Quantum Metric Spaces: A Structural Advantage over Fuzzy Frameworks
Nicola Fabiano·Dec 1, 2025
We prove an existence and uniqueness theorem for fixed points of contraction maps in the framework of quantum metric spaces, where distinguishability is defined by the $L^2$ norm: $d_Q(ψ_1,ψ_2) = \|ψ_1 - ψ_2\|$. The result applies to normalized real-...
QuantumCanvas: A Multimodal Benchmark for Visual Learning of Atomic Interactions
Can Polat, Erchin Serpedin, Mustafa Kurban +1 more·Dec 1, 2025
Despite rapid advances in molecular and materials machine learning, most models still lack physical transferability: they fit correlations across whole molecules or crystals rather than learning the quantum interactions between atomic pairs. Yet bond...
Learning Reduced Representations for Quantum Classifiers
Patrick Odagiu, Vasilis Belis, Lennart Schulze +6 more·Dec 1, 2025
Data sets that are specified by a large number of features are currently outside the area of applicability for quantum machine learning algorithms. An immediate solution to this impasse is the application of dimensionality reduction methods before pa...
Formal Verification of Noisy Quantum Reinforcement Learning Policies
Dennis Gross·Dec 1, 2025
Quantum reinforcement learning (QRL) aims to use quantum effects to create sequential decision-making policies that achieve tasks more effectively than their classical counterparts. However, QRL policies face uncertainty from quantum measurements and...
Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks
Tomás Villalba-Ferreiro, Eduardo Mosqueira-Rey, Diego Alvarez-Estevez·Dec 1, 2025
This study explores the performance of Quantum Support Vector Classifiers (QSVCs) and Quantum Neural Networks (QNNs) in comparison to classical models for machine learning tasks. By evaluating these models on the Iris and MNIST-PCA datasets, we find ...
Field-free diode effects in one-dimensional superconductor: a complex interplay between Fulde-Ferrell pairing and altermagnetism
SVS Sai Ruthvik, Tanay Nag·Dec 1, 2025
We investigate the emergence of nonreciprocal dissipationless supercurrents in one-dimension manifested through the superconducting diode effect (SDE) and the Josephson diode effect (JDE) in the absence of any external magnetic field, where inversion...
Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
Swati Kumari, Shiva Raj Pokhrel, Swathi Chandrasekhar +5 more·Dec 1, 2025
Network traffic anomaly detection is a critical cybersecurity challenge requiring robust solutions for complex Internet of Things (IoT) environments. We present a novel hybrid quantum-classical framework integrating an enhanced Quantum Support Vector...