Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Forecasting Low-Dimensional Turbulence via Multi-Dimensional Hybrid Quantum Reservoir Computing
L. Salatino, L. Mariani, A. Giordano +9 more·Sep 4, 2025
The prediction of complex dynamics remains an open problem across many domains of physics, where nonlinearities and multiscale interactions severely limit the reliability of conventional forecasting methods. Quantum reservoir computing (QRC) has emer...
Quantum AI Algorithm Development for Enhanced Cybersecurity: A Hybrid Approach to Malware Detection
Tanya Joshi, Krishnendu Guha·Sep 4, 2025
This study explores the application of quantum machine learning (QML) algorithms to enhance cybersecurity threat detection, particularly in the classification of malware and intrusion detection within high-dimensional datasets. Classical machine lear...
LATTE: A Decoding Architecture for Quantum Computing with Temporal and Spatial Scalability
Kai Zhang, Jubo Xu, Fang Zhang +3 more·Sep 4, 2025
Quantum error correction allows inherently noisy quantum devices to emulate an ideal quantum computer with reasonable resource overhead. As a crucial component, decoding architectures have received significant attention recently. In this paper, we in...
A method for the numerical analysis of hybrid lumped-distributed superconducting quantum circuits
Simona Zaccaria, Antonio Gnudi·Sep 3, 2025
We present a method for the numerical analysis of superconducting quantum circuits combining lumped elements, either linear or non-linear (i.e.~Josephson junctions), and distributed coplanar waveguide (CPW) structures. CPW transmission lines and mult...
Quantum-Assisted Correlation Clustering
A. Macaluso, Supreeth Mysore Venkatesh, Diego Arenas +2 more·Sep 3, 2025
This work introduces a hybrid quantum-classical method to correlation clustering, a graph-based unsupervised learning task that seeks to partition the nodes in a graph based on pairwise agreement and disagreement. In particular, we adapt GCS-Q [1], a...
The Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC
Lukas Burgholzer, Jorge Echavarria, Patrick Hopf +11 more·Sep 2, 2025
Quantum computing is advancing rapidly in hardware and algorithms, but broad accessibility demands a comprehensive, efficient, unified software stack. Such a stack must flexibly span diverse hardware and evolving algorithms, expose usable programming...
Exponentially Enhanced Tripartite Coupling in Quantum Nonlinear Magnonics
Xue-Chun Chen, Zi-Jie Wang, Sheng-Bo Zheng +2 more·Sep 2, 2025
Strong and controllable tripartite interactions play a pivotal role in quantum information and nonlinear quantum optics, yet challenging to realize. In this work, we propose a hybrid system consisting of a nitrogen-vacancy (NV) center coupled to Kerr...
Quantum Seniority-based Subspace Expansion: Linear Combinations of Short-Circuit Unitary Transformations for the Electronic Structure Problem
Smik Patel, Praveen Jayakumar, Rick Huang +2 more·Sep 1, 2025
Quantum SENiority-based Subspace Expansion (Q-SENSE) is a hybrid quantum-classical algorithm that interpolates between the Variational Quantum Eigensolver (VQE) and Configuration Interaction (CI) methods. It constructs Hamiltonian matrix elements on ...
Optimal quantum likelihood estimation
A. Levi, Ziv Ossi, Eliahu Cohen +1 more·Aug 31, 2025
A hybrid quantum–classical algorithm is a computational scheme in which quantum circuits are used to extract information that is then processed by a classical routine to guide subsequent quantum operations. These algorithms are especially valuable in...
Quantum-Based QoE Optimization in Advanced Cellular Networks: Integration and Cloud Gaming Use Case
Fatma Chaouech, Javier Villegas, Ant'onio Pereira +8 more·Aug 31, 2025
This work explores the integration of Quantum Machine Learning (QML) and Quantum-Inspired (QI) techniques for optimizing End-to-End (E2E) network services in telecommunication systems, particularly focusing on 5G networks and beyond. The application ...
Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
Thinh Viet Le, Mark M. Wilde, Vassilis Kekatos·Aug 30, 2025
Conic programs arise broadly in physics, quantum information, machine learning, and engineering, many of which are defined over sparse graphs. Although such problems can be solved in polynomial time using classical interior-point solvers, the computa...
A Hybrid Anyon-Otto thermal machine
Mohit Lal Bera, Joyce Kwan, Armando Pérez +6 more·Aug 29, 2025
We propose a four-stroke quantum thermal machine based on the 1D anyon Hubbard model, which is capable of extracting the excess energy arising from anyon exclusion statistics at low temperature into finite work. Defining a hybrid anyon-Otto (HAO) cyc...
Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing
Rajiv Kailasanathan, William R. Clements, Mohammad Reza Boskabadi +4 more·Aug 29, 2025
The development of continuous biomanufacturing processes requires robust and early anomaly detection, since even minor deviations can compromise yield and stability, leading to disruptions in scheduling, reduced weekly production, and diminished econ...
A Simple Method for Seniority-Zero Quantum State Preparation.
Michal Krompiec, Josh J. M. Kirsopp, Antonio M'arquez Romero +1 more·Aug 29, 2025
Quantum phase estimation (QPE), the quantum algorithm for estimating eigenvalues of a given Hermitian matrix and preparing its eigenvectors, is considered the most promising approach to finding the ground states and their energies of electronic syste...
Generalized quantum singular value transformation with application in quantum conjugate gradient least squares algorithm
Yu-Qiu Liu, Hefeng Wang, Hua Xiang·Aug 29, 2025
Quantum signal processing (QSP) and generalized quantum signal processing (GQSP) are essential tools for implementing the block encoding of matrix functions. The achievable polynomials of QSP have restrictions on parity, while GQSP eliminates these r...
Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers
Alexander Miessen·Aug 29, 2025
Quantum mechanical problems are among the hardest to simulate and, in some cases, remain intractable even for the most powerful computers. Quantum computing has emerged as a new technological platform to address such challenges, with rapid advances i...
A multi-ansatz variational quantum solver for compressible flows
Shaobo Yao, Zhiyu Duan, Ziteng Wang +2 more·Aug 28, 2025
Simulating nonlinear partial differential equations (PDEs) such as the Navier--Stokes (NS) equations remains computationally intensive, especially when implicit time integration is used to capture multiscale flow dynamics. This work introduces a hybr...
Application of Quantum Convolutional Neural Networks for MRI-Based Brain Tumor Detection and Classification
Sugih Pratama Nugraha, Ariiq Islam Alfajri, T. Sumaryada +4 more·Aug 28, 2025
This study explores the application of Quantum Convolutional Neural Networks (QCNNs) for brain tumor classification using MRI images, leveraging quantum computing for enhanced computational efficiency. A dataset of 3,264 MRI images, including glioma,...
Quantum-Enhanced Analysis and Grading of Vocal Performance
Rohan Agarwal·Aug 28, 2025
We present QuantumMelody, a hybrid quantum-classical method for objective singing assessment. Grouped vocal features (pitch stability, dynamics, timbre) are encoded into a small simulated quantum circuit; all nine qubits are initialized with a Hadama...
Towards Quantum Machine Learning for Malicious Code Analysis
Jesus Lopez, Saeefa Rubaiyet Nowmi, Viviana Cadena +1 more·Aug 26, 2025
Classical machine learning (CML) has been extensively studied for malware classification. With the emergence of quantum computing, quantum machine learning (QML) presents a paradigm-shifting opportunity to improve malware detection, though its applic...