Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Multipartite parity bounds and total correlation
James Tian·Mar 1, 2026
This paper studies multipartite observables formed from sums of local self-adjoint contractions on tensor product Hilbert spaces. The square of such a sum has a parity structure: after decomposing each local product into commutator and anticommutator...
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...
ReloQate: Transient Drift Detection and In-Situ Recalibration in Surface Code Quantum Error Correction
Maxwell Poster, Jason Chadwick, Jonathan Mark Baker·Feb 28, 2026
Quantum error correction (QEC) promises to exponentially suppress qubit noise, but typically assumes spatially-uniform and temporally-constant noise rates. However, real quantum hardware exhibits variation in noise levels over time, which will be amp...
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...
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...
Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío·Feb 27, 2026
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limited to toy examples or heavily restricted datasets with few elements. T...
Stairway Codes: Floquetifying Bivariate Bicycle Codes and Beyond
Shoham Jacoby, Alex Retzker, Fernando Pastawski·Feb 27, 2026
Floquet codes define fault-tolerant protocols through periodic measurement sequences that drive a dynamically evolving stabilizer group. They provide a natural framework for hardware supporting two-qubit parity measurements but no unitary entangling ...
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, ...
Comparing Classical and Quantum Variational Classifiers on the XOR Problem
Miras Seilkhan, Adilbek Taizhanov·Feb 27, 2026
Quantum machine learning applies principles such as superposition and entanglement to data processing and optimization. Variational quantum models operate on qubits in high-dimensional Hilbert spaces and provide an alternative approach to model expre...
Estimating the performance boundary of Gottesman-Kitaev-Preskill codes and number-phase codes
Kai-Xuan Wen, Dong-Long Hu, Shengyong Li +1 more·Feb 27, 2026
Bosonic quantum error-correcting codes encode logical information in a harmonic oscillator, with the Gottesman-Kitaev-Preskill (GKP) and number-phase (NP) codes representing two fundamentally different encoding paradigms. Although both have been exte...
Learning spectral density functions in open quantum systems
Felipe Peleteiro, João Victor Shiguetsugo Kawanami Lima, Pedro Marcelo Prado +2 more·Feb 27, 2026
Spectral density functions quantify how environmental modes couple to quantum systems and govern their open dynamics. Inferring such frequency-dependent functions from time-domain measurements is an ill-conditioned inverse problem. Here, we use exact...
Experimental implementation of a discrete-time quantum walk on biological networks
Viacheslav Dubovitskii, Filippo Utro, Aritra Bose +3 more·Feb 27, 2026
Quantum walks provide a versatile framework for probing the structural and dynamical properties of complex systems ranging from biological networks to synthetic materials. However, their realization on current noisy pre-fault-tolerant quantum compute...
Spin stiffness and resilience phase transition in a noisy toric-rotor code
Morteza Zarei, Mohammad Hossein Zarei·Feb 27, 2026
We use a quantum formalism for the partition function of the classical $XY$ model to identify a resilience phase transition in a noisy toric-rotor code. Specifically, we consider the toric-rotor code under phase-shift noise described by a von Mises p...
Analogue many-body gravitating quantum systems with a network of dipolar Bose-Einstein condensates
Youssef Trifa, Dario Cafasso, Marco Fattori +1 more·Feb 26, 2026
Operational probes of the interface between quantum mechanics and general relativity in the Newtonian regime -- via mass-energy equivalence in clocks or spatial superpositions in interferometers -- share a common description in terms of an effective ...
Efficient evaluation of fundamental sensitivity limits and full counting statistics for continuously monitored Gaussian quantum systems
Francesco Albarelli, Marco G. Genoni·Feb 26, 2026
Generalized master equations (GMEs) -- time-local but generally neither trace-preserving nor Hermiticity-preserving -- are convenient tools to compute properties of the environment of an open or continuously monitored quantum system. A two-sided mast...
Quantum diffusion for a quantum particle with a correlated Gaussian noise
Yun Jeong Kang, Sung Kyu Seo, Kyungsik Kim·Feb 26, 2026
We investigate the diffusive behavior of a quantum particle driven by a correlated Gaussian noise. We derive the analytical solution of the joint probability density function and obtain explicit expressions for the mean square momentum and the mean s...
Cryptographic Fragility of Standard Quantum Repeater Protocols
Abhishek Sadhu, Sharu Theresa Jose·Feb 26, 2026
The security of the proposed quantum Internet relies on repeater protocols designed under the assumption of stochastic, characterizable noise. We demonstrate that in adversarial environments this assumption induces performance vulnerabilities for com...
Hyperbolic and Semi-Hyperbolic Floquet Codes for Photonic Quantum Computing
Aygul Azatovna Galimova·Feb 26, 2026
Hyperbolic Floquet codes use only weight-2 measurements and can be implemented directly on hardware with native pair measurements. We construct hyperbolic and semi-hyperbolic Floquet codes from $\{8,3\}$, $\{10,3\}$, and $\{12,3\}$ tessellations via ...
Spin-Cat Qubit with Biased Noise in an Optical Tweezer Array
Toshi Kusano, Kosuke Shibata, Chih-Han Yeh +8 more·Feb 26, 2026
Bias-tailored quantum error correcting codes (QECCs) offer a higher error threshold than standard QECCs and have the potential to achieve lower logical errors with less space overhead. The spin-cat qubit, encoded in a large nuclear spin-$F$ system, i...
Experimental demonstration of the absence of noise-induced barren plateaus using information content landscape analysis
Sebastian Schmitt, Linus Ekstrøm, Alberto Bottarelli +1 more·Feb 26, 2026
Variational quantum algorithms are promising candidates for near-term quantum computing but can be hindered by barren plateaus, where gradients vanish exponentially and optimization becomes intractable. Noise-Induced Barren Plateaus (NIBP) are partic...