Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hybrid-spin decoupling for noise-resilient DC quantum sensing
So Chigusa, Masashi Hazumi, Ernst David Herbschleb +3 more·Nov 20, 2025
The excellent sensitivities of quantum sensors are a double-edged sword: minuscule quantities can be observed, but any undesired signal acts as noise. This is challenging when detecting quantities that are obscured by such noise. Decoupling sequences...
Magnetically induced Josephson nano-diodes in field-resilient superconducting microwave circuits
Benedikt Wilde, Mohamad Kazouini, Timo Kern +5 more·Nov 20, 2025
The development of nonlinear and frequency-tunable superconducting microwave circuits for operation in large magnetic fields is of high relevance for hybrid quantum systems such as spin resonance spectrometers, microwave quantum magnonics, dark matte...
Tripartite Entanglement Generation in Atom-Coupled Dual Microresonators System
Abhishek Mandal, Joy Ghosh, Maruthi Manoj Brundavanam +1 more·Nov 20, 2025
In this work, we investigate the emergence and control of genuine tripartite entanglement in a hybrid cavity quantum electrodynamics architecture consisting of two linearly coupled single mode resonators, one of which interacts coherently with a two ...
Symmetry-Controlled Ultrastrong Phonon-Photon Coupling in a Terahertz Cavity
Dasom Kim, Maxime Dherbécourt, Sae R. Endo +8 more·Nov 20, 2025
Optical cavities provide a powerful means to engineer light-matter hybrid states by coupling confined electromagnetic fields with matter excitations. Achieving in situ control of the coupling strength is essential for investigating how such hybridiza...
Approximation rates of quantum neural networks for periodic functions via Jackson's inequality
Ariel Neufeld, Philipp Schmocker, Viet Khoa Tran·Nov 20, 2025
Quantum neural networks (QNNs) are an analog of classical neural networks in the world of quantum computing, which are represented by a unitary matrix with trainable parameters. Inspired by the universal approximation property of classical neural net...
Molecular resonance identification in complex absorbing potentials via integrated quantum computing and high-throughput computing
Jingcheng Dai, Atharva Vidwans, Eric H. Wan +2 more·Nov 20, 2025
Recent advancements in quantum algorithms have reached a state where we can consider how to capitalize on quantum and classical computational resources to accelerate molecular resonance state identification. Here we identify molecular resonances with...
QTIS: A QAOA-Based Quantum Time Interval Scheduler
José A. Tirado-Domínguez, Eladio Gutiérrez, Oscar Plata·Nov 19, 2025
Task scheduling with constrained time intervals and limited resources remains a fundamental challenge across domains such as manufacturing, logistics, cloud computing, and healthcare. This study presents a novel variant of the Quantum Approximate Opt...
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 ...
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...
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...
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...
Intelligent Inverse Design of Multi-Layer Metasurface Cavities for Dual Resonance Enhancement of Nanodiamond Single Photon Emitters
Omar A. M. Abdelraouf·Nov 19, 2025
Single-photon emitters (SPEs) based on nitrogen-vacancy centers in nanodiamonds (neutral NV0 (wavelength 575 nm) and negative NV- (wavelength 637 nm)) represent promising platforms for quantum nanophotonics applications, yet their emission efficienci...
The PID Controller Strikes Back: Classical Controller Helps Mitigate Barren Plateaus in Noisy Variational Quantum Circuits
Zhehao Yi, Rahul Bhadani·Nov 18, 2025
Variational quantum algorithms (VQAs) combine the advantages of classical optimization and quantum computation, making them one of the most promising approaches in the Noisy Intermediate-Scale Quantum (NISQ) era. However, when optimized using gradien...
Simulating quantum electrodynamics in 2+1 dimensions with qubits and qumodes
Victor Ale, Tommaso Rainaldi, Enrique Rico +2 more·Nov 18, 2025
We develop a hybrid qubit-qumode framework for simulating quantum electrodynamics in 2+1 dimensions. In this approach, fermionic matter fields are represented by qubits, while U(1) gauge fields are encoded in continuous-variable bosonic modes whose c...
Empirical Quantum Advantage in Constrained Optimization from Encoded Unitary Designs
Chinonso Onah, Roman Firt, Kristel Michielsen·Nov 18, 2025
We introduce the Constraint-Enhanced Quantum Approximate Optimization Algorithm (CE-QAOA), a shallow, constraint-aware ansatz that operates inside the one-hot product space [n]^m, where m is the number of blocks and each block is initialized in an n-...
QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments
Hector E Mozo·Nov 18, 2025
QML-HCS is a research-grade framework for constructing and analyzing quantum-inspired machine learning models operating under hypercausal feedback dynamics. Hypercausal refers to AI systems that leverage extended, deep, or nonlinear causal relationsh...
Hybrid continuous-discrete-variable quantum computing: a guide to utility
A. F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman +24 more·Nov 17, 2025
Quantum computing has traditionally centered around the discrete variable paradigm. A new direction is the inclusion of continuous variable modes and the consideration of a hybrid continuous-discrete approach to quantum computing. In this paper, we d...
Linguistic Predictability and Search Complexity: How Linguistic Redundancy Constraints the Landscape of Classical and Quantum Search
Alessio Di Santo, Gabriella Lanziani·Nov 17, 2025
This study examines the quantitative relationship between linguistic regularities and computational search complexity through a hybrid classical-quantum framework applied to Renaissance Italian texts. Using four representative works from the fifteent...
Quantum Metamorphosis: Programmable Emergence and the Breakdown of Bulk-Edge Dichotomy in Multiscale Systems
Mahmoud Jalali Mehrabad, Alireza Parhizkar, Lida Xu +6 more·Nov 17, 2025
Multiscale synergy -- the interplay of a system's distinct characteristic length, time, and energy scales -- is becoming a unifying thread across many contemporary branches of science. Ranging from moiré and super-moiré materials and cold atoms to DN...
Optimizing two-dimensional isometric tensor networks with quantum computers
Sebastian Leontica, Alberto Baiardi, Julian Schuhmacher +2 more·Nov 17, 2025
We propose a hybrid quantum-classical algorithm for approximating the ground state of two-dimensional quantum systems using an isometric tensor network ansatz, which maps naturally to quantum circuits. Inspired by the density matrix renormalization g...