Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
26,974
This Month
563
Today
0
Research Volume
12,530 papers in 12 months (-16% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem
Miguel Angel Lopez-Ruiz, Daiwei Zhu, Jonas Hatzenbuhler +8 more·Apr 13, 2026
We present a quantum optimization framework for the Shipment Selection Problem (SSP) in electric freight logistics, developed jointly by IonQ and Einride. Idle gaps arising from stochastic shipment cancellations reduce fleet utilization and revenue; ...
A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization
Romeu Rossi Junior, José Augusto Miranda Nacif, Leonardo Antônio Mendes Souza +1 more·Apr 13, 2026
This work investigates the performance of a Hybrid Quantum Genetic Algorithm (HQGA) compared to a classical Genetic Algorithm (GA) for solving the portfolio optimization problem. Our results indicate that the HQGA converges faster to the optimal solu...
A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
Bhavna Bose, Muhammad Faryad·Apr 13, 2026
Near-term quantum machine learning (QML) models operate in environments wherein noise is unavoidable, arising from both imperfect classical data acquisition and the limitations of noisy intermediate-scale quantum (NISQ) hardware. Although most existi...
Autonomous Quantum Error Correction of Spin-Oscillator Hybrid Qubits
Sungjoo Cho, Ju-yeon Gyhm, Hyukjoon Kwon +1 more·Apr 13, 2026
We propose a novel measurement-free scheme for stabilizing a spin-oscillator hybrid qubit via autonomous quantum error correction. The engineered Lindbladian renders the code space into an attractive steady-state subspace, realized by coupling the st...
SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning
Nouhaila Innan, Rachmad Vidya Wicaksana Putra, Muhammad Shafique·Apr 13, 2026
Most quantum machine learning (QML) pipelines still rely on static encodings such as angle and amplitude maps, and this limits their ability to handle temporal information. To address this limitation, this paper uses spike-based data representation a...
Compiler Framework for Directional Transport in Zoned Neutral Atom Systems with AOD Assistance: A Hybrid Remote CZ Approach
Lingyi Kong, Chen Huang, Zhemin Zhang +4 more·Apr 13, 2026
We present a directional-transport (DT)-based remote CZ gate and compiler for zoned neutral-atom arrays that overcomes movement-bound entanglement limitations. Current AOD-based shuttling faces row/column non-crossing constraints, device-speed limits...
QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits
Navid Azimi, Aditya Prakash, Yao Wang +1 more·Apr 13, 2026
Deep neural networks remain highly vulnerable to adversarial perturbations, limiting their reliability in security- and safety-critical applications. To address this challenge, we introduce QShield, a modular hybrid quantum-classical neural network (...
A Control-Referenced Tri-Channel OECT Receiver for Hybrid Molecular Communication Toward Brain Organoid Interfaces
Hongbin Ni, Ozgur B. Akan·Apr 12, 2026
Brain organoid interfaces that seek neuromodulator readout benefit from chemical receivers with molecular specificity and tolerance to drift. This paper presents a receiver-centric theoretical study of a control-referenced tri-channel organic electro...
CovAngelo: A hybrid quantum-classical computing platform for accurate and scalable drug discovery
Linn Evenseth, Kamil Galewski, Witold Jarnicki +6 more·Apr 12, 2026
We present a computational platform for modeling chemical reactions in complex molecular environments, focused on ligand-protein binding in drug discovery. The platform implements our new quantum-in-quantum-in-classical (QM/QM/MM) multiscale embeddin...
Topological Magnon-Phonon Hybrid Bands in Ferromagnetic Skyrmion Crystals
Doried Ghader, Bilal Jabakhanji·Apr 12, 2026
We investigate magnon-phonon (MP) excitations in a Neel-type two-dimensional ferromagnetic skyrmion crystal (SkX) stabilized on a triangular spin lattice by Dzyaloshinskii-Moriya interaction (DMI). Although the lowest two magnon bands of the bare SkX...
Interference-Protected Subradiance and Bound States in Nested Atomic Arrays
Bella Santosa, Daniel Leykam·Apr 11, 2026
Collective subradiant states in waveguide QED are highly sensitive to disorder, limiting their scalability and robustness. We propose a deterministic approach to engineering atom arrays based on a Minkowski sum construction, generating quasi-disorder...
A Model Context Protocol Server for Quantum Execution in Hybrid Quantum-HPC Environments
Masaki Shiraishi, Ikko Hamamura, Tatsuya Ishigaki +1 more·Apr 9, 2026
The integration of large language models (LLMs) into scientific research is accelerating the realization of autonomous ``AI Scientists.'' While recent advancements have empowered AI to formulate hypotheses and design experiments, a critical gap remai...
Divide et impera: hybrid multinomial classifiers from quantum binary models
Simone Roncallo, Angela Rosy Morgillo, Seth Lloyd +2 more·Apr 9, 2026
We investigate how to combine a collection of quantum binary models into a multinomial classifier. We employ a hybrid approach, adopting strategies like one-vs-one, one-vs-rest and a binary decision tree. We benchmark each method, by emphasizing thei...
A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing
Zhirao Wang, Junxiang Huang, Runyu Ye +8 more·Apr 9, 2026
Variational quantum algorithms (VQAs) have established themselves as a central computational paradigm in the Noisy Intermediate-Scale Quantum (NISQ) era. By coupling parameterized quantum circuits (PQCs) with classical optimization, they operate effe...
Hybrid Quantum--Classical k-Means Clustering via Quantum Feature Maps
Syed M. Abdullah, Alisha Baba, Muhammad Siddique +1 more·Apr 9, 2026
Clustering is one of the most fundamental tasks in machine learning, and the k-means clustering algorithm is perhaps one of the most widely used clustering algorithms. However, it suffers from several limitations, such as sensitivity to centroid init...
Quantum Computing for Financial Transformation: A Review of Optimisation, Pricing, Risk, Machine Learning, and Post-Quantum Security
Huijing Gong, Akash Sedai, T. Schroeder +1 more·Apr 9, 2026
Quantum computing is becoming strategically relevant to finance because several core financial bottlenecks are already defined by combinatorial search, expectation estimation, rare-event analysis, representation learning, and long-horizon cryptograph...
Hybrid-2D Excitonic Metasurfaces for Complex Amplitude Modulation
Tom Hoekstra, Mark L. Brongersma, Jorik van de Groep·Apr 8, 2026
Dynamic control of visible light is crucial for technologies such as holographic displays and adaptive optics. Passive metasurfaces can shape wavefronts at the subwavelength scale and active metasurfaces promise to extend this functionality into the ...
Improving Feasibility in Quantum Approximate Optimization Algorithm for Vehicle Routing via Constraint-Aware Initialization and Hybrid XY-X Mixing
Yuan-Zheng Lei, Yaobang Gong, Xianfeng Terry Yang +1 more·Apr 8, 2026
The Quantum Approximate Optimization Algorithm (QAOA) is a leading framework for quantum combinatorial optimization. The Vehicle Routing Problem (VRP), a core problem in logistics and transportation, is a natural application target, but it poses a ma...
QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks
Kooshan Maleki, Alberto Marchisio, Muhammad Shafique·Apr 8, 2026
Designing quantum neural networks (QNNs) that are both accurate and deployable on NISQ hardware is challenging. Handcrafted ansatze must balance expressivity, trainability, and resource use, while limited qubits often necessitate circuit cutting. Exi...
Millisecond spin relaxation times of distinct electron and hole subensembles in MA$_x$FA$_{1-x}$PbI$_3$ perovskite crystals
Rongrong Hu, Sergey R. Meliakov, Dmitri R. Yakovlev +4 more·Apr 8, 2026
The unique combination of outstanding optical quality and attractive spin properties opens new avenues for optical spin control in hybrid organic-inorganic perovskite semiconductors. Using the optically detected magnetic resonance technique, we study...