Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum algorithm for the lattice Boltzmann method with applications on real quantum devices
Antonio Bastida-Zamora, Ljubomir Budinski, Oskari Kerppo +8 more·Mar 2, 2026
We introduce a novel quantum algorithm for the lattice Boltzmann method (LBM) based on the one-step simplified LBM. The structure of the algorithm allows for more flexibility in modelling different physics in contrast to earlier quantum algorithms fo...
Tensor-network methodology for super-moiré excitons beyond one billion sites
Anouar Moustaj, Yitao Sun, Tiago V. C. Antão +2 more·Mar 2, 2026
Computing excitonic spectra in quasicrystal and super-moiré systems constitutes a formidable challenge due to the exceptional size of the excitonic Hilbert space. Here, we demonstrate a tensor-network method for the real-space Bethe-Salpeter Hamilton...
Quantum Network Simulation and Emulation: A Roadmap for Quantum Internet Design
Brian Doolittle, Michael Cubeddu·Mar 2, 2026
Quantum networks are advancing the information technology infrastructure of society. Simulation and emulation software tools have emerged to support the design, development, and deployment of quantum networks, however, classical simulation and emulat...
Shaping frequency-tunable single photons for quantum networking in waveguide QED
Álvaro Pernas, Ricardo Puebla·Mar 2, 2026
The exchange of quantum information among nodes in a quantum network is one of the main challenges in modern technologies. Superconducting waveguide QED networks hold great potential for realizing distributed quantum computation, where distinct nodes...
No More Hooks in the Surface Code: Distance-Preserving Syndrome Extraction for Arbitrary Layouts at Minimum Depth
Yuga Hirai, Shota Ikari, Yosuke Ueno +1 more·Mar 2, 2026
Hook errors are a major challenge in implementing logical operations with the surface code, because they can reduce the fault distance below the code distance. This motivates syndrome-extraction circuits that suppress hook-error effects for the stabi...
Efficient Learning Algorithms for Noisy Quantum State and Process Tomography
Chenyang Li, Shengxin Zhuang, Yukun Zhang +4 more·Mar 2, 2026
Efficiently characterizing large quantum states and processes is a central yet notoriously challenging task in quantum information science, as conventional tomography methods typically require resources that grow exponentially with system size. Here,...
Applicability and Limitations of Quantum Circuit Cutting in Classical State-Vector Simulation
Mitsuhiro Matsumoto, Shinichiro Sanji, Takahiko Satoh·Mar 2, 2026
Circuit cutting partitions a large quantum circuit into smaller subcircuits that can be executed independently and recombined by classical post-processing. In classical state-vector simulation with full-state reconstruction, the runtime is governed b...
Quantum-Inspired Fine-Tuning for Few-Shot AIGC Detection via Phase-Structured Reparameterization
Kaiyang Xing, Han Fang, Zhaoyun Chen +4 more·Mar 2, 2026
Recent studies show that quantum neural networks (QNNs) generalize well in few-shot regimes. To extend this advantage to large-scale tasks, we propose Q-LoRA, a quantum-enhanced fine-tuning scheme that integrates lightweight QNNs into the low-rank ad...
Quantum framework for parameterizing partial differential equations via diagonal block-encoding
Hiroshi Yano, Yuki Sato·Mar 2, 2026
We study a quantum-algorithmic framework for parameterizing partial differential equations (PDEs). For a broad class of problems in which the discretized parameter field admits a diagonal representation, block-encodings of diagonal matrices, or diago...
Quantum Monte Carlo in Classical Phase Space with the Wigner-Kirkwood Commutation Function. II. Diagonal Approximation in Position Space
Phil Attard·Mar 1, 2026
A third order expansion for Wigner-Kirkwood commutation function, a complex function in classical phase space that accounts for the Heisenberg uncertainty relation, is approximated and integrated over momentum to give a real function in position conf...
Bounding the classical cost of simulating quantum behaviors in the prepare-and-measure scenario
Sebastian Schlösser, Matthias Kleinmann·Mar 1, 2026
We study the prepare-and-measure scenario in which Alice transmits a quantum system to Bob, who then performs a quantum measurement. The quantum state of the system is unknown to Bob, and the measurement is unknown to Alice. It has recently been show...
Power Network SCADA Quantum Communications: A Comparison of BB84, B92, E91, and SGS04 Quantum Key Distribution Protocols
Hillol Biswas, Kyriakos E. Zoiros·Mar 1, 2026
The current state, emerging trends, and practical challenges of optical fiber-based power network SCADA quantum communication must be addressed to fully utilize the technological platform's potential in real-world power system SCADA communications in...
Communication-Efficient Quantum Federated Learning Over Large-Scale Wireless Networks
Shaba Shaon, Christopher G. Brinton, Dinh C. Nguyen·Mar 1, 2026
Quantum federated learning (QFL) combines the robust data processing of quantum computing with the privacy-preserving features of federated learning (FL). However, in large-scale wireless networks, optimizing sum-rate is crucial for unlocking the tru...
A Stable and General Quantum Fractional-Step Lattice Boltzmann Method for Incompressible Flows
Yang Xiao, Liming Yang, Chang Shu +1 more·Feb 28, 2026
Quantum computing shows substantial potential in accelerating simulations and alleviating memory bottlenecks in computational fluid dynamics (CFD), owing to its inherent properties of superposition and entanglement. The lattice Boltzmann method (LBM)...
On Best-Possible One-Time Programs
Aparna Gupte, Jiahui Liu, Luowen Qian +3 more·Feb 28, 2026
One-time programs (OTPs) aim to let a user evaluate a program on a single input while revealing nothing else. Classical OTPs require hardware assumptions, and even with quantum information, OTPs for deterministic functionalities remain impossible due...
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 ...
Low-entropy arrays of microwave-shielded molecules prepared by interaction blockade
Tijs Karman, Sebastian Will, Zoe Yan·Feb 28, 2026
Ultracold molecules are becoming an increasingly important technology for quantum simulation, computation, and sensing, but their state preparation in large, low-entropy arrays remains a key challenge. We propose to deterministically load single mole...
A Quantum Algorithm for the Diffusion Step of Grid-based Filter
Yeong-Geol Choe, C. Park, Jindvrich Dun'ik +3 more·Feb 28, 2026
We propose a simple quantum algorithm for implementing the diffusion step of grid-based Bayesian filters. The method encodes the advected state density and the process noise density into quantum registers and realizes diffusion using a quantum Fourie...
Geometric Resilience of Quantum LiDAR in Turbulent Media: A Wasserstein Distance Approach
Arnaud Coatanhay, Angélique Drémeau·Feb 27, 2026
Quantum-enhanced LiDAR, exploiting squeezed states of light, promises significant sensitivity gains over classical protocols. However, in realistic scenarios characterized by high optical losses and atmospheric turbulence, standard figures of merit, ...
3D Integrated Embedded Filters for Superconducting Quantum Circuits
Waqas Ahmad, Gioele Consani, Mohammad Tasnimul Haque +2 more·Feb 27, 2026
Microwave filtering for superconducting qubits is a key element of quantum computing technology, enabling high coherence and fast state detection. This work presents the design and implementation of novel microwave Purcell filters for superconducting...