Papers
Live trends in quantum computing research, updated daily from arXiv.
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A Hybrid Quantum Solver for Gaussian Process Regression
Kerem Bükrü, Steffen Leger, M. Lautaro Hickmann +3 more·Oct 17, 2025
Gaussian processes are widely known for their ability to provide probabilistic predictions in supervised machine learning models. Their non-parametric nature and flexibility make them particularly effective for regression tasks. However, training a G...
Fisher discord as a quantifier of quantum complexity
Huihui Li, Shunlong Luo, Yue Zhang·Oct 17, 2025
Two classically equivalent expressions of mutual information of probability distributions (classical bipartite states) diverge when extended to quantum systems, and this difference has been employed to define quantum discord, a quantifier of quantum ...
Achieving Sub-Exponential Speedup in Gate-Based Quantum Computing for Quadratic Unconstrained Binary Optimization
Tseng Ying-Wei, Kao Yu-Ting, Chang Yeong-Jar +2 more·Oct 17, 2025
Recent quantum-inspired methods based on the Simulated Annealing (SA) algorithm have shown strong potential for solving combinatorial optimization problems. However, Grover's algorithm [1] in gate-based quantum computing offers only a quadratic speed...
Capturing Protein Free Energy Landscape using Efficient Quantum Encoding
Ashwini Kannan, Jaya Vasavi Pamidimukkala, Avinash Dakshinamoorthy +3 more·Oct 17, 2025
Protein folding is one of the age-old biological problems that refers to the mechanism of understanding and predicting how a protein's linear sequence of amino acids folds into its specific three dimensional structure.This structure is critical, as a...
Solid-State High-Order Harmonic Generation: Emerging Frontiers in Ultrafast and Quantum Light Science
Marcelo F. Ciappina·Oct 17, 2025
High-order harmonic generation (HHG) in solids has emerged as a versatile platform for exploring ultrafast and quantum-coherent phenomena in condensed matter. Recent advances reveal Berry-phase and topological effects in harmonic emission, strong-fie...
Signatures of Topological Symmetries on a Noisy Quantum Simulator
Christopher Lamb, Robert M. Konik, Hubert Saleur +1 more·Oct 16, 2025
Topological symmetries, invertible and otherwise, play a fundamental role in the investigation of quantum field theories. Despite their ubiquitous importance across a multitude of disciplines ranging from string theory to condensed matter physics, co...
Quantum machine learning and quantum-inspired methods applied to computational fluid dynamics: a short review
Cesar A. Amaral, Vinícius L. Oliveira, Juan P. L. C. Salazar +1 more·Oct 15, 2025
Computational Fluid Dynamics (CFD) is central to science and engineering, but faces severe scalability challenges, especially in high-dimensional, multiscale, and turbulent regimes. Traditional numerical methods often become prohibitively expensive u...
Decoding Correlated Errors in Quantum LDPC Codes
Arshpreet Singh Maan, Francisco-Garcia Herrero, Alexandru Paler +1 more·Oct 15, 2025
We introduce a decoding framework for correlated errors in quantum LDPC codes under circuit-level noise. The core of our approach is a graph augmentation and rewiring for interference (GARI) method, which modifies the correlated detector error model ...
Towards Quantum Enhanced Adversarial Robustness with Rydberg Reservoir Learning
Shehbaz Tariq, Muhammad Talha, Symeon Chatzinotas +1 more·Oct 15, 2025
Quantum reservoir computing (QRC) leverages the high-dimensional, nonlinear dynamics inherent in quantum many-body systems for extracting spatiotemporal patterns in sequential and time-series data with minimal training overhead. Although QRC inherits...
Hybrid light-matter boundaries of graphene in a chiral cavity
Volker Karle, Oriana K. Diessel, Vasil Rokaj +1 more·Oct 15, 2025
Recent advances in chiral cavities that can couple coherently to two-dimensional materials have opened a powerful route to reshape electronic topology without an external drive. Here we establish the bulk-boundary correspondence for graphene embedded...
Hybrid Boson Sampling-Neural Network Architecture for Enhanced Classification
Mohammad Sharifian, Abolfazl Bayat·Oct 15, 2025
Demonstration of quantum advantage for classical machine learning tasks remains a central goal for quantum technologies and artificial intelligence. Two major bottlenecks to this goal are the high dimensionality of practical datasets and limited perf...
Quantum Key Distribution in the Iberian Peninsula
Vicky Domínguez Tubío, Mario Badás Aldecocea, David L. Bakker +3 more·Oct 14, 2025
A promising use of quantum networking is quantum key distribution (QKD), which can provide information-theoretic security unattainable by classical means. While optical fiber-based QKD networks suffer from exponential loss, satellite-assisted quantum...
Time-dependent Variational Principles for Hybrid Non-Unitary Dynamics: Application to Driven-Dissipative Superconductors
Pasquale Filice, Marco Schirò, Giacomo Mazza·Oct 14, 2025
We introduce time-dependent variational principles to study the non-unitary dynamics of open quantum many-body systems, including dynamics described by the full Lindblad master equation, the non-Hermitian dynamics corresponding to the no-click limit ...
GUPPY: Pythonic Quantum-Classical Programming
Mark Koch, Alan Lawrence, Kartik Singhal +2 more·Oct 14, 2025
We present ongoing work on Guppy, a domain-specific language embedded in Python that allows users to write high-level hybrid quantum programs with complex control flow in Pythonic syntax, aiming to run them on actual quantum hardware.
Hybrid Vision Transformer and Quantum Convolutional Neural Network for Image Classification
Mingzhu Wang, Yun Shang·Oct 14, 2025
Quantum machine learning (QML) holds promise for computational advantage, yet progress on real-world tasks is hindered by classical preprocessing and noisy devices. We introduce ViT-QCNN-FT, a hybrid framework that integrates a fine-tuned Vision Tran...
Qiboml: towards the orchestration of quantum-classical machine learning
Matteo Robbiati, Andrea Papaluca, Andrea Pasquale +12 more·Oct 13, 2025
We present Qiboml, an open-source software library for orchestrating quantum and classical components in hybrid machine learning workflows. Building on Qibo's quantum computing capabilities and integrating with popular machine learning frameworks suc...
Efficient and accurate tensor network algorithm for Anderson impurity problems
Zhijie Sun, Zhenyu Li, Chu Guo·Oct 13, 2025
The Anderson impurity model (AIM) is of fundamental importance in condensed matter physics to study strongly correlated effects. However, accurately solving its long-time dynamics still remains a great numerical challenge. An emergent and rapidly dev...
Comparison and optimisation of hybridization algorithms for onboard classical and quantum accelerometers
Benoit Kaczmarczuk, Yannick Bidel, Alexandre Bresson +6 more·Oct 13, 2025
We study two hybridization algorithms used for the combination of a quantum inertial sensor based on atom interferometry with a classical inertial sensor for onboard acceleration measurements. The first is based on the direct extraction of the interf...
On the Potential of Quantum Computing in Classical Program Analysis
Yicheng Guang, Pietro Zanotta, Kai Zhou +2 more·Oct 13, 2025
Classical program analysis techniques, such as abstract interpretation and symbolic execution, are essential for ensuring software correctness, optimizing performance, and enabling compiler optimizations. However, these techniques face computational ...
Oscillator-qubit generalized quantum signal processing for vibronic models: a case study of uracil cation
Jungsoo Hong, Seong Ho Kim, Seung Kyu Min +1 more·Oct 12, 2025
Hybrid oscillator-qubit processors have recently demonstrated high-fidelity control of both continuous- and discrete-variable information processing. However, most of the quantum algorithms remain limited to homogeneous quantum architectures. Here, w...