Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quadratic power enhancement in extended Dicke quantum battery
Harsh Sharma, Himadri Shekhar Dhar·Dec 17, 2025
We demonstrate a quadratic enhancement of power in a battery consisting of $N$ two-level systems or spins interacting with two photonic cavity modes, where one of the modes is in the dispersive regime. In contrast to Dicke batteries, the power enhanc...
Photonics-Enhanced Graph Convolutional Networks
Yuan Wang, Oleksandr Kyriienko·Dec 17, 2025
Photonics can offer a hardware-native route for machine learning (ML). However, efficient deployment of photonics-enhanced ML requires hybrid workflows that integrate optical processing with conventional CPU/GPU based neural network architectures. He...
Universal Blind Quantum Computation with Recursive Rotation Gates
Mohit Joshi, Manoj Kumar Mishra, S. Karthikeyan·Dec 17, 2025
Blind Quantum Computation lets a limited-capability client delegate its complex computation to a remote server without revealing its data or computation. Several such protocols have been proposed under varied quantum computing models. However, these ...
Roadmap: 2D Materials for Quantum Technologies
Qimin Yan, Tongcang Li, Xingyu Gao +29 more·Dec 16, 2025
Two-dimensional (2D) materials have emerged as a versatile and powerful platform for quantum technologies, offering atomic-scale control, strong quantum confinement, and seamless integration into heterogeneous device architectures. Their reduced dime...
Fair sampling of ground-state configurations using hybrid quantum-classical MCMC algorithms
Yuichiro Nakano, Keisuke Fujii·Dec 16, 2025
We study the fair sampling properties of hybrid quantum-classical Markov chain Monte Carlo (MCMC) algorithms for combinatorial optimization problems with degenerate ground states. While quantum optimization heuristics such as quantum annealing and th...
Continuous Accumulation of Cold Atoms in an Optical Cavity
Edward Gheorghita, Sebastian Wald, Andrea Pupić +1 more·Dec 16, 2025
Continuously operating atom-light interfaces represent a key prerequisite for steady-state quantum sensors and efficient quantum processors. Here, we demonstrate continuous accumulation of sub-Doppler-cooled atoms in a shallow intracavity dipole trap...
Adiabatic-Inspired Hybrid Quantum-Classical Methods for Molecular Ground State Preparation
Sean Thrasher, Ioannis Kolotouros, Julien Michel +1 more·Dec 16, 2025
Quantum computing promises to efficiently and accurately solve many important problems in quantum chemistry which elude classical solvers, such as the electronic structure problem of highly correlated materials. Two leading methods in solving the gro...
Hybrid acousto-optical spin control in quantum dots
Mateusz Kuniej, Paweł Machnikowski, Michał Gawełczyk·Dec 16, 2025
Mechanical degrees of freedom very weakly couple to spins in semiconductors. The inefficient coupling between phonons and single electron spins in semiconductor quantum dots (QDs) hinders their integration into on-chip acoustically coupled quantum hy...
Quantum Machine Learning for Climate Modelling
Mierk Schwabe, Lorenzo Pastori, Valentina Sarandrea +1 more·Dec 16, 2025
Quantum machine learning (QML) is making rapid progress, and QML-based models hold the promise of quantum advantages such as potentially higher expressivity and generalizability than their classical counterparts. Here, we present work on using a quan...
Q-IRIS: The Evolution of the IRIS Task-Based Runtime to Enable Classical-Quantum Workflows
Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Elaine Wong +4 more·Dec 15, 2025
Extreme heterogeneity in emerging HPC systems are starting to include quantum accelerators, motivating runtimes that can coordinate between classical and quantum workloads. We present a proof-of-concept hybrid execution framework integrating the IRIS...
Impact of Information on Quantum Heat Engines
Lindsay Bassman Oftelie, Michele Campisi·Dec 15, 2025
The emerging field of quantum thermodynamics is beginning to reveal the intriguing role that information can play in quantum thermal engines. Information enters as a resource when considering feedback-controlled thermal machines. While both a general...
Genuine Tripartite Strong Coupling in a Superconducting-Spin Hybrid Quantum System
Yingqiu Mao, Han-Yu Ren, Zi-Yi Liu +12 more·Dec 15, 2025
We demonstrate genuine tripartite strong coupling in a solid-state hybrid quantum system comprising a superconducting transmon qubit, a fixed-frequency coplanar-waveguide resonator, and an ensemble of NV$^-$ centers in diamond. Frequency-domain spect...
Imaginary-time-enhanced feedback-based quantum algorithms for universal ground-state preparation
Thanh Nguyen Van Long, Lan Nguyen Tran, Le Bin Ho·Dec 15, 2025
Preparing ground states of strongly correlated quantum systems is a central goal in quantum simulation and optimization. The feedback-based quantum algorithm (FALQON) provides an attractive alternative to variational methods with a fully quantum feed...
A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction
Xiuying Zhang, Qinsheng Zhu, Xiaodong Xing·Dec 15, 2025
We propose a Hybrid Spatio-Temporal Quantum Graph Convolutional Network (H-STQGCN) algorithm by combining the strengths of quantum computing and classical deep learning to predict the taxi destination within urban road networks. Our algorithm consist...
Basis Adaptive Algorithm for Quantum Many-Body Systems on Quantum Computers
Anutosh Biswas, Sayan Ghosh, Ritajit Majumdar +2 more·Dec 14, 2025
A new basis adaptive algorithm for hybrid quantum-classical platforms is introduced to efficiently find the ground-state (gs) properties of quantum many-body systems. The method addresses limitations of many algorithms, such as Variational Quantum Ei...
Practical Hybrid Quantum Language Models with Observable Readout on Real Hardware
Stefan Balauca, Ada-Astrid Balauca, Adrian Iftene·Dec 14, 2025
Hybrid quantum-classical models represent a crucial step toward leveraging near-term quantum devices for sequential data processing. We present Quantum Recurrent Neural Networks (QRNNs) and Quantum Convolutional Neural Networks (QCNNs) as hybrid quan...
Quantum Implicit Neural Representations for 3D Scene Reconstruction and Novel View Synthesis
Yeray Cordero, Paula García-Molina, Fernando Vilariño·Dec 14, 2025
Implicit neural representations (INRs) have become a powerful paradigm for continuous signal modeling and 3D scene reconstruction, yet classical networks suffer from a well-known spectral bias that limits their ability to capture high-frequency detai...
A Comparative Study of Encoding Strategies for Quantum Convolutional Neural Networks
Xingyun Feng·Dec 14, 2025
Quantum convolutional neural networks (QCNNs) offer a promising architecture for near-term quantum machine learning by combining hierarchical feature extraction with modest parameter growth. However, any QCNN operating on classical data must rely on ...
Cavity Ring-down Spectroscopy with behavior of Hybrid Cavity Structures
Muhammad Junaid Khan, Rida Batool Sheraliyat·Dec 13, 2025
Cavity ring-down (CRD) spectroscopy represents a direct absorption technique of sample absorption measurement. Instead of measuring the amount of the absorbed light, this technique determines the rate at which light intensity decays inside an optical...
Nuclear magnetic resonance on a single atom with a local probe
Hester G. Vennema, Cristina Mier, Evert W. Stolte +3 more·Dec 12, 2025
The nuclear spin is a prime candidate for quantum information applications due to its weak coupling to the environment and inherently long coherence times. However, this weak coupling also challenges the addressability of the nuclear spin. Here we de...