Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Exact bounds on quantum partial search algorithm and improving the parallel search
Yan-Bo Jiang, Xiao-Hui Wang, Kun Zhang +1 more·Mar 2, 2026
Grover's algorithm provides a quadratic speedup over classical algorithms for searching unstructured databases and is known to be strictly optimal in oracle query complexity, with tight bounds on its success probability. Although the standard Grover ...
QANTIS: A Hardware-Validated Quantum Platform for POMDP Planning and Multi-Target Data Association
Bayram Yüksel Eker, Suayb S. Arslan, Özgür Nazlı +2 more·Feb 28, 2026
Autonomous navigation under uncertainty requires solving partially observable Markov decision processes (POMDPs) for planning and assigning sensor measurements to tracked targets--a task known as multi-target data association (MTDA). Both problems be...
Toward Quantum-Optimized Flow Scheduling in Multi-Beam Digital Satellites
Qiben Yan, John P. T. Stenger, Daniel Gunlycke·Feb 28, 2026
Data flow scheduling for high-throughput multibeam satellites is a challenging NP-hard combinatorial optimization problem. As the problem scales, traditional methods, such as Mixed-Integer Linear Programming and heuristic schedulers, often face a tra...
Closing the Loop: Resource-aware Hybrid NAS Guided by Analytical and Hardware-Calibrated Quantum Cost Modeling
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique·Feb 28, 2026
Hybrid quantum-classical neural networks (HQNNs) integrate quantum circuits with classical layers, each operating under fundamentally different computational paradigms, which makes hardware resource estimation challenging. The training of quantum cir...
Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
Hongquan Wang, Hanshu Chen, Ilia Marchevsky +1 more·Feb 28, 2026
DeepONet enables retraining-free inference across varying initial conditions or source terms at the cost of high computational requirements. This paper proposes a hybrid quantum operator network (Quantum AS-DeepOnet) suitable for solving 2D evolution...
Nonclassical Many-Body Superradiant States with Interparticle and Spin-Momentum Entanglement
Jarrod T. Reilly, Gage W. Harmon, John Drew Wilson +2 more·Feb 28, 2026
We present a cross-cavity system in which steady-state superradiance is achieved using solely collective dissipative dynamics. Two cavities symmetrically couple an ensemble of four-level atoms by driving transitions between two electronic states and ...
Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization
Wenxin Li, Wenchao Liu, Chuan Wang +4 more·Feb 28, 2026
Deep neural networks (DNNs) enable high performance across domains but remain vulnerable to adversarial perturbations, limiting their use in safety-critical settings. Here, we introduce two quantum-optimization-based models for robust verification th...
Topology as a Design Variable for Multiproperty Engineering in Synthesized 4-5-6-8 Carbon Nanoribbons
Djardiel da S. Gomes, Isaac M. Felix, Lucas L. Lage +3 more·Feb 27, 2026
Nonbenzenoid carbon frameworks expand low-dimensional material design via controlled asymmetry. Here, we show the experimentally realized 4-5-6-8 carbon nanoribbon establishes a topology-driven paradigm for multiproperty engineering, not just a graph...
Quantum Deep Learning: A Comprehensive Review
Yanjun Ji, Zhao-Yun Chen, Marco Roth +10 more·Feb 26, 2026
Quantum deep learning (QDL) explores the use of both quantum and quantum-inspired resources to determine when deep learning's core capabilities, such as expressivity, generalization, and scalability, can be enhanced based on specific resource constra...
Optimization-based Unfolding in High-Energy Physics
Simone Gasperini, Gianluca Bianco, Marco Lorusso +2 more·Feb 26, 2026
In High-Energy Physics, unfolding is the process of reconstructing true distributions of physical observables from detector-distorted measurements. Starting from its reformulation as a regularized quadratic optimization, we develop a framework to tac...
Quantum jumps in open cavity optomechanics and Liouvillian versus Hamiltonian exceptional points
Aritra Ghosh, M. Bhattacharya·Feb 25, 2026
Exceptional points, where two or more eigenstates of a non-Hermitian system coalesce, are now of interest across many fields of physics, from the perspective of open-system dynamics, sensing, nonreciprocal transport, and topological phase transitions...
Hybrid Consensus with Quantum Sybil Resistance
Dar Gilboa, Siddhartha Jain, Or Sattath·Feb 25, 2026
Sybil resistance is a key requirement of decentralized consensus protocols. It is achieved by introducing a scarce resource (such as computational power, monetary stake, disk space, etc.), which prevents participants from costlessly creating multiple...
Loss Mechanisms in High-coherence Multimode Mechanical Resonators Coupled to Superconducting Circuits
Raquel Garcia Belles, Alexander Anferov, Lukas F. Deeg +14 more·Feb 25, 2026
Circuit quantum acoustodynamics (cQAD) devices have a wide range of applications in quantum science, all of which depend crucially on the quantum coherence of the mechanical subsystem. In this context, high-overtone bulk acoustic-wave resonators (HBA...
Self-stabilized high-dimensional quantum key distribution on a metropolitan free-space link
Karolina Dziwulska, Christopher Spiess, Sarika Mishra +3 more·Feb 25, 2026
Quantum communication technologies capable of operating reliably across heterogeneous optical channels are essential for scalable metropolitan quantum networks. Here we demonstrate high-dimensional time-bin-encoded quantum key distribution over a hyb...
Noise-adaptive hybrid quantum convolutional neural networks based on depth-stratified feature extraction
Taehyun Kim, Israel F. Araujo, Daniel K. Park·Feb 25, 2026
Hierarchical quantum classifiers, such as quantum convolutional neural networks (QCNNs), represent recent progress toward designing effective and feasible architectures for quantum classification. However, their performance on near-term quantum hardw...
Landscape-Similarity-Guided Optimization in QAOA
Sokea Sang, Leanghok Hour, Sanghyeon Lee +4 more·Feb 25, 2026
Across diverse synthetic and real-world interaction graphs, the variational landscapes of reduced Quantum Approximate Optimization Algorithm (QAOA) instances obtained via variable freezing exhibit a robust universality. Leveraging this structure, we ...
Quantum Attacks Targeting Nuclear Power Plants: Threat Analysis, Defense and Mitigation Strategies
Yaser Baseri, Edward Waller·Feb 25, 2026
The advent of Cryptographically Relevant Quantum Computers (CRQCs) presents a fundamental and existential threat to the forensic integrity and operational safety of Industrial Control Systems (ICS) and Operational Technology (OT) in critical infrastr...
Coherent Quantum Evaluation of Collider Amplitudes for Effective Field Theory Constraints
Yacine Haddad, Kaidi Xu, Vincent Croft +2 more·Feb 24, 2026
Precision measurements at electron-positron colliders provide stringent tests of the Standard Model and powerful probes of possible higher-dimensional interactions. We present a hybrid quantum-classical framework for computing leading-order helicity ...
Quantum Machine Learning for Complex Systems
Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi +2 more·Feb 23, 2026
Quantum machine learning (QML) is rapidly transitioning from theoretical promise to practical relevance across data-intensive scientific domains. In this Review, we provide a structured overview of recent advances that bridge foundational quantum lea...
Quantum Information Approach to Bosonization of Supersymmetric Yang-Mills Fields
Radhakrishnan Balu, S. James Gates·Feb 23, 2026
We consider bosonization of supersymmetry in the context of Wess-Zumino quantum mechanics. Our motivation for this investigation is the flexibility the bosonic fock space affords as any classical probability distribution can be realized on it making ...