Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Drone delivery packing problem on a neutral-atom quantum computer
Sara Tarquini, Matteo Vandelli, Francesco Ferrari +2 more·Feb 17, 2026
Quantum architectures based on neutral atoms have gained significant attention in recent years as specialized computational machines due to their ability to directly encode the independent set constraint on graphs, exploiting the Rydberg blockade mec...
Quantum Computing for Healthcare Digital Twin Systems
Asma Taheri Monfared, Andrea Bombarda, Angelo Gargantini +1 more·Feb 17, 2026
The growing complexity of healthcare systems requires advanced computational models for real-time monitoring, secure data exchange, and intelligent decision-making. Digital Twins (DTs) provide virtual representations of physical healthcare entities, ...
Constrained Portfolio Optimization via Quantum Approximate Optimization Algorithm (QAOA) with XY-Mixers and Trotterized Initialization: A Hybrid Approach for Direct Indexing
Javier Mancilla, Theodoros D. Bouloumis, Frederic Goguikian·Feb 16, 2026
Portfolio optimization under strict cardinality constraints is a combinatorial challenge that defies classical convex optimization techniques, particularly in the context of "Direct Indexing" and ESG-constrained mandates. In the Noisy Intermediate-Sc...
Enhanced multiparameter quantum estimation in cavity magnomechanics via a coherent feedback loop
Adnan Naimy, Abdallah Slaoui, Abderrahim Lakhfif +1 more·Feb 16, 2026
Multiparameter quantum metrology plays a fundamental role in uncovering and exploiting the distinctive features of quantum systems. In this work, we propose an effective and experimentally feasible scheme to significantly enhance the simultaneous qua...
NISQ-compatible quantum cryptography based on Parrondo dynamics in discrete-time quantum walks
Aditi Rath, Dinesh Kumar Panda, Colin Benjamin·Feb 16, 2026
Compatibility with noisy intermediate-scale quantum (NISQ) devices is crucial for the realistic implementation of quantum cryptographic protocols. We investigate a cryptographic scheme based on discrete-time quantum walks (DTQWs) on cyclic graphs tha...
Quantum-Assisted Trainable-Embedding Physics-Informed Neural Networks for Parabolic PDEs
Ban Q. Tran, Nahid Binandeh Dehaghani, Rafal Wisniewski +2 more·Feb 16, 2026
Physics-informed neural networks (PINNs) have emerged as a powerful framework for solving partial differential equations (PDEs) by embedding governing physical laws directly into the training objective. Recent advances in quantum machine learning hav...
Qute: Towards Quantum-Native Database
M. Chen, Xuanhe Zhou, Wei Zhou +7 more·Feb 16, 2026
This paper envisions a quantum database (Qute) that treats quantum computation as a first-class execution option. Unlike prior simulation-based methods that either run quantum algorithms on classical machines or adapt existing databases for quantum s...
High-fidelity Quantum Readout Processing via an Embedded SNAIL Amplifier
Leon Bello, Boris Mesits, Michael Hatridge +1 more·Feb 15, 2026
Scalable, high-fidelity quantum-state readout remains a central challenge in the development of large-scale superconducting quantum processors. Conventional dispersive readout architectures depend on bulky isolators and external amplifiers, introduci...
Time-Domain Two-Magnon Interference Enabled by a Tunable Beamsplitter
Cody Trevillian, Steven Louis, Vasyl Tyberkevych·Feb 14, 2026
This letter presents a model system for controllable two-magnon interference in the time domain. This two-magnon interference, i.e., a magnonic analog to the photonic Hong-Ou-Mandel effect, is supported by a tunable magnonic beamsplitter operation fo...
Quantum logic control and entanglement in hybrid atom-molecule arrays
Chi Zhang, Sara Murciano, Nathanan Tantivasadakarn +1 more·Feb 13, 2026
Polar molecules, with their rich internal structure, offer immense potential for fundamental physics, quantum technology, and controlled chemistry. However, their utilization is currently limited because of slow and imperfect state detection and weak...
QTabGAN: A Hybrid Quantum-Classical GAN for Tabular Data Synthesis
Subhangi Kumari, Rakesh Achutha, Vignesh Sivaraman·Feb 13, 2026
Synthesizing realistic tabular data is challenging due to heterogeneous feature types and high dimensionality. We introduce QTabGAN, a hybrid quantum-classical generative adversarial framework for tabular data synthesis. QTabGAN is especially designe...
Challenge-Response Quantum Reinforcement Learning with Application to Quantum-Assisted Authentication
Jawaher Kaldari, Saif Al-Kuwari·Feb 12, 2026
Quantum reinforcement learning (QRL) has emerged as a promising research direction that integrates quantum information processing into reinforcement learning frameworks. While many existing QRL studies apply quantum agents to classical environments, ...
Accelerating Feedback-based Algorithms for Quantum Optimization Using Gradient Descent
Masih Mozakka, Mohsen Heidari·Feb 12, 2026
Feedback-based methods have gained significant attention as an alternative training paradigm for the Quantum Approximate Optimization Algorithm (QAOA) in solving combinatorial optimization problems such as MAX-CUT. In particular, Quantum Lyapunov Con...
Probing near-field EM fluctuations in superparamagnetic CoFeB with NV quantum dephasometry
Shoaib Mahmud, Wei Zhang, Pronoy Das +3 more·Feb 12, 2026
Superparamagnetism in nanoscale magnetic layers is a critical property for a wide range of spintronic-based sensor and computing applications. While conventional magnetization measurements can detect superparamagnetic signatures, they often require t...
Experimental setup for the combined study of spin ensembles and superconducting quantum circuits
Lukas Vogl, Gerhard B. P. Huber, Ana Strinić +5 more·Feb 12, 2026
A hybrid quantum computing architecture combining quantum processors and quantum memory units allows for exploiting each component's unique properties to enhance the overall performance of the total system. However, superconducting qubits are highly ...
Nonlinear integrated quantum photonics with AlGaAs
F. Baboux, G. Moody, S. Ducci·Feb 11, 2026
Integrated photonics provides a powerful approach for developing compact, stable and scalable architectures for the generation, manipulation and detection of quantum states of light. To this end, several material platforms are being developed in para...
Recent Developments in VQE: Survey and Benchmarking
Taylor Harville, Rishu Khurana, Vitor F. Grizzi +1 more·Feb 11, 2026
The Variational Quantum Eigensolver (VQE) algorithm has been developed to target near term Noisy Intermediate Scale Quantum (NISQ) computers as a method to find the eigenvalues of Hamiltonians. Unlike fully quantum algorithms such as Quantum Phase Es...
MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning
Cassandre Notton, Benjamin Stott, Philippe Schoeb +7 more·Feb 11, 2026
Identifying where quantum models may offer practical benefits in near term quantum machine learning (QML) requires moving beyond isolated algorithmic proposals toward systematic and empirical exploration across models, datasets, and hardware constrai...
Error-Tolerant Quantum State Discrimination: Optimization and Quantum Circuit Synthesis
Chien-Kai Ma, Bo-Hung Chen, Tian-Fu Chen +2 more·Feb 11, 2026
We develop error-tolerant quantum state discrimination(QSD) strategies that maintain reliable performance under moderate noise. Two complementary approaches are proposed: CrossQSD, which generalizes unambiguous discrimination with tunable confidence ...
Dimensional advantage in network cooling with hybrid oscillator-qudit systems
Mrinmoy Samanta, Debkanta Ghosh, Rivu Gupta +1 more·Feb 11, 2026
We examine the cooling of networks of oscillators through repeated unitary evolution followed by conditional measurement on a finite-dimensional auxiliary system, coupled via Jaynes-Cummings type interaction. We prove that near-perfect cooling of the...