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Live trends in quantum computing research, updated daily from arXiv.

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28,188 papers found

Constraint-preserving quantum algorithm for the multi-frequency antenna placement problem

Matteo Vandelli, Francesco Ferrari, Daniele Dragoni·Nov 19, 2025

Quantum algorithms for combinatorial optimization typically encode constraints as soft penalties within the objective function, which can reduce efficiency and scalability compared to state-of-the-art classical methods that instead exploit constraint...

Quantum Physicsmath.OC

Design and Optimization of Adaptive Diversity Schemes in Quantum MIMO Channels

Shehbaz Tariq, Symeon Chatzinotas·Nov 19, 2025

As quantum networks evolve toward a full quantum Internet, reliable transmission in quantum multiple-input multiple-output (QuMIMO) settings becomes essential, yet remains difficult due to noise, crosstalk, and the mixing of quantum information acros...

Quantum Physics

Parity anomalies in 2+1-dimensional Aharonov-Bohm type configurations

Harun Basmaci, Hasan Ozgur Cildiroglu·Nov 19, 2025

We demonstrate that Dirac fermions in 2+1 dimensions, coupled to Abelian gauge fields in multiply-connected regions, exhibit a parity anomaly that directly manifests as Aharonov-Bohm (AB) type topological phases. Using the Fujikawa method, we show th...

hep-thQuantum Physics

Inhomogeneous SSH models and the doubling of orthogonal polynomials

Nicolas Crampé, Quentin Labriet, Lucia Morey +2 more·Nov 19, 2025

We analyze Su-Schrieffer-Heeger (SSH) models using the doubling method for orthogonal polynomial sequences. This approach yields the analytical spectrum and exact eigenstates of the models. We demonstrate that the standard SSH model is associated wit...

Mathematical Physicscond-mat.stat-mechcond-mat.str-elQuantum Physics

Stochastic unravelings for Heisenberg picture and trace-nonpreserving dynamics

Federico Settimo, Kimmo Luoma, Dariusz Chruściński +3 more·Nov 19, 2025

Stochastic unravelings allow to efficiently simulate open system dynamics, yet their application has traditionally been restricted to master equations that preserve both Hermiticity and trace. In this work, we introduce a general framework that exten...

Quantum Physics

Optomechanical disk resonator in the quantum ground state of motion

Andrea Barbero, Samuel Pautrel, Bertrand Evrard +5 more·Nov 19, 2025

Although they have enabled several advances in the field of optomechanics, optomechanical disk resonators have not yet been operated in the quantum regime. We present the first experimental demonstration of an optomechanical disk resonator prepared i...

Quantum Physics

Overview of Routing Approaches in Quantum Key Distribution Networks

Ivan Cvitic, Dragan Perakovic, Armando Nolasco Pinto·Nov 19, 2025

Quantum Key Distribution (QKD) networks enable unconditionally secure key exchange using quantum mechanical principles. However, routing cryptographic keys across multi-hop quantum networks introduces challenges unique to quantum communication. This ...

Quantum PhysicsCryptographyEmerging Tech

Topological Quantum Transducers in a Hybrid Rydberg Atom System

Pei-Yao Song, Jin-Lei Wu, Weibin Li +1 more·Nov 19, 2025

We propose a topological transport platform for microwave-to-optical conversion at the single-photon level in a Rydberg atom-cavity setting. This setting leverages a hybrid dual-mode Jaynes-Cummings (JC) configuration, where a microwave resonator cou...

Quantum Physics

Bell Inequality Violation with Vacuum-One-Photon Number Superposition States

Zi-Qi Zeng, Jian Wang, Xiu-Bin Liu +8 more·Nov 19, 2025

Entanglement is a central resource in quantum technologies, and the realization of photonic entanglement necessarily relies on interaction with matter. Resonance fluorescence (RF), originating from the coherent interaction between a driving field and...

Quantum Physics

Axiomatising the dagger category of complex Hilbert spaces

Jan Paseka, Thomas Vetterlein·Nov 19, 2025

We axiomatise the dagger category of complex Hilbert spaces and bounded linear maps, using exclusively purely categorical conditions. Our axioms are chosen with the aim of an easy interpretability: two of them describe the composition of objecs, two ...

math.CTQuantum Physics

QSentry: Backdoor Detection for Quantum Neural Networks via Measurement Clustering

Shuolei Wang, Zimeng Xiao, Jinjing Shi +3 more·Nov 19, 2025

Quantum neural networks (QNNs) are an important model for implementing quantum machine learning (QML), while they demonstrate a high degree of vulnerability to backdoor attacks similar to classical networks. To address this issue, a quantum backdoor ...

Quantum Physics

Fidelity-Preserving Quantum Encoding for Quantum Neural Networks

Yuhu Lu, Jinjing Shi·Nov 19, 2025

Efficiently encoding classical visual data into quantum states is essential for realizing practical quantum neural networks (QNNs). However, existing encoding schemes often discard spatial and semantic information when adapting high-dimensional image...

Quantum Physics

Refraction Hall Effect

Ronika Sarkar, Arka Bandyopadhyay, Awadhesh Narayan +1 more·Nov 19, 2025

We introduce a new mechanism that produces a Hall-like response in time-reversal-invariant materials, driven entirely by geometric effects. Specifically, we demonstrate that a tilted potential interface causes electron wave packets to undergo a refra...

Mesoscale PhysicsQuantum Physics

Thermalizing channel states for rapid qubit heating

Ziyang You, Wenhui Huang, Libo Zhang +4 more·Nov 19, 2025

Although known for negatively impacting the operation of superconducting qubits, thermal baths are shown to exert qubit control in a positive way, provided they are properly engineered. We demonstrate an experimental method to engineer the transducti...

Quantum Physics

Calibration of single-photon cameras using radioluminescent light sources

Radek Machulka, Václav Michálek, Ondřej Haderka +1 more·Nov 19, 2025

In this paper, we address the calibration of the quantum efficiency of single-photon cameras using radioluminescent light sources. The proposed methods are subsequently compared with absolute calibration techniques based on the detection of correlate...

Quantum Physicsphysics.optics

Tensor-network approach to quantum optical state evolution beyond the Fock basis

Nikolay Kapridov, Egor Tiunov, Dmitry Chermoshentsev·Nov 19, 2025

Understanding the quantum evolution of light in nonlinear media is central to the development of next-generation quantum technologies. Yet modeling these processes remains computationally demanding, as the required resources grow rapidly with photon ...

Quantum Physicsphysics.comp-phphysics.optics

QADR: A Scalable, Quantum-Resistant Protocol for Anonymous Data Reporting

Nilesh Vyas, Konstantin Baier·Nov 19, 2025

The security of future large-scale IoT networks is critically threatened by the ``Harvest Now, Decrypt Later'' (HNDL) attack paradigm. Securing the massive, long-lived data streams from these systems requires protocols that are both quantum-resistant...

Quantum PhysicsCryptographycs.NI

Note on Logical Gates by Gauge Field Formalism of Quantum Error Correction

Junichi Haruna·Nov 19, 2025

The gauge field formalism, or operator-valued cochain formalism, has recently emerged as a powerful framework for describing quantum Calderbank-Shor-Steane (CSS) codes. In this work, we extend this framework to construct a broad class of logical gate...

hep-thhep-latQuantum Physics

Fail fast: techniques to probe rare events in quantum error correction

Michael E. Beverland, Malcolm Carroll, Andrew W. Cross +1 more·Nov 19, 2025

The ultimate goal of quantum error correction is to create logical qubits with very low error rates (e.g. 1e-12) and assemble them into large-scale quantum computers capable of performing many (e.g. billions) of logical gates on many (e.g. thousands)...

Quantum Physics

Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning

Le Tung Giang, Vu Hoang Viet, Nguyen Xuan Tung +2 more·Nov 19, 2025

The vehicle routing problem (VRP) is a fundamental NP-hard task in intelligent transportation systems with broad applications in logistics and distribution. Deep reinforcement learning (DRL) with Graph Neural Networks (GNNs) has shown promise, yet cl...

cs.LGcs.ITQuantum Physics
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