Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A hybrid quantum network linking telecom-wavelength atomic and solid-state nodes
Yuzhou Chai, Dahlia Ghoshal, Nayana P. Tiwari +4 more·Feb 2, 2026
Photonic links between disparate quantum technologies$-$such as photon sources, memories, processors, clocks, and sensors$-$are key to scaling quantum networks and realizing a versatile quantum internet for secure quantum communication, distributed q...
Guaranteeing Privacy in Hybrid Quantum Learning through Theoretical Mechanisms
Hoang M. Ngo, Tre' R. Jeter, Incheol Shin +3 more·Feb 2, 2026
Quantum Machine Learning (QML) is becoming increasingly prevalent due to its potential to enhance classical machine learning (ML) tasks, such as classification. Although quantum noise is often viewed as a major challenge in quantum computing, it also...
Energy-Transfer-Enhanced Emission and Quantum Sensing of VB- Defects in hBN-PbI2 Heterostructures
Eveline Mayner, Yaroslav Zhumagulov, Cristian de Giorgio +6 more·Feb 2, 2026
Spin defects in two-dimensional materials hold significant potential for quantum information technologies and sensing applications. The negatively charged boron vacancy (VB-) in hexagonal boron nitride (hBN) has attracted considerable attention as a ...
Methods for non-variational heuristic quantum optimisation
Stuart Ferguson, Petros Wallden·Feb 1, 2026
Optimisation plays a central role in a wide range of scientific and industrial applications, and quantum computing has been widely proposed as a means to achieve computational advantages in this domain. To date, research into the design of noise-resi...
First-Principles Optical Descriptors and Hybrid Classical-Quantum Classification of Er-Doped CaF$_2$
David Angel Alba Bonilla, Kerem Yurtseven, Krishan Sharma +4 more·Jan 31, 2026
We present a physics-informed classical-quantum machine learning framework for discriminating pristine CaF$_2$ from Er-doped CaF$_2$ using first-principles optical descriptors. Finite Ca$_8$F$_{16}$ and Ca$_7$ErF$_{16}$ clusters were constructed from...
Quantum Phase Recognition via Quantum Attention Mechanism
Jin-Long Chen, Xin Li, Zhang-Qi Yin·Jan 31, 2026
Quantum phase transitions in many-body systems are fundamentally characterized by complex correlation structures, which pose computational challenges for conventional methods in large systems. To address this, we propose a hybrid quantum-classical at...
A Conceptual Hybrid Framework for Post-Quantum Security: Integrating BB84 QKD, AES, and Bio-inspired Mechanisms
Md. Ismiel Hossen Abir·Jan 31, 2026
Quantum computing is a significant risk to classical cryptographic, especially RSA, which depends on the difficulty of factoring large numbers. Classical factorization methods, such as Trial Division and Pollard's Rho, are inefficient for large keys,...
Quantum Generator Kernels
Philipp Altmann, Maximilian Mansky, Maximilian Zorn +2 more·Jan 30, 2026
Quantum kernel methods offer significant theoretical benefits by rendering classically inseparable features separable in quantum space. Yet, the practical application of Quantum Machine Learning (QML), currently constrained by the limitations of Nois...
A room-temperature cavity-magnonic source of correlated microwave pairs
Qiuyuan Wang, Aravind Karthigeyan, Chung-Tao Chou +1 more·Jan 30, 2026
Correlated microwave photon sources are key enablers for technologies in quantum-limited sensing, signal amplification and communication, but the reliance on millikelvin operating temperature limits their scalability for broader applications. Here, a...
Towards Sample Efficient Entanglement Classification for 3 and 4 Qubit Systems: A Tailored CNN-BiLSTM Approach
Qian Sun, Yuedong Sun, Yu Hu +3 more·Jan 30, 2026
Accurate classification of multipartite entanglement in high-dimensional quantum systems is crucial for advancing quantum communication and information processing. However, conventional methods are resource-intensive, and even many machine-learning-b...
Accelerating De Novo Genome Assembly via Quantum-Assisted Graph Optimization with Bitstring Recovery
Jaya Vasavi Pamidimukkala, Himanshu Sahu, Ashwini Kannan +3 more·Jan 29, 2026
Genome sequencing is essential to decode genetic information, identify organisms, understand diseases and advance personalized medicine. A critical step in any genome sequencing technique is genome assembly. However, de novo genome assembly, which in...
Designing quantum technologies with a quantum computer
Juan Naranjo, Thi Ha Kyaw, Gaurav Saxena +2 more·Jan 29, 2026
Interacting spin systems in solids underpin a wide range of quantum technologies, from quantum sensors and single-photon sources to spin-defect-based quantum registers and processors. We develop a quantum-computer-aided framework for simulating such ...
A scalable quantum-enhanced greedy algorithm for maximum independent set problems
Elisabeth Wybo, Jami Rönkkö, Olli Hirviniemi +2 more·Jan 29, 2026
We investigate a hybrid quantum-classical algorithm for solving the Maximum Independent Set (MIS) problem on regular graphs, combining the Quantum Approximate Optimization Algorithm (QAOA) with a minimal degree classical greedy algorithm. The method ...
Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen +3 more·Jan 29, 2026
Hybrid quantum-classical learning models increasingly integrate neural networks with variational quantum circuits (VQCs) to exploit complementary inductive biases. However, many existing approaches rely on tightly coupled architectures or task-specif...
Non-secular polariton leakage and dark-state protection in hybrid plasmonic cavities
Marco Vallone·Jan 29, 2026
A major issue in exploiting plasmonic cavities as key components in nanotechnology is the effect of radiative and absorption losses on their electrodynamic behavior. Treating them as open-systems, we derive a time-local, completely positive master eq...
Entanglement of quantum systems via a classical mediator in hybrid van Hove theory
Sebastian Ulbricht, Andrés Darío Bermúdez Manjarres, Marcel Reginatto·Jan 29, 2026
It is a matter of ongoing discussion whether quantum states can become entangled while only interacting via a classical mediator. This lively debate is deeply interwoven with the question of whether entanglement studies can prove the quantum nature o...
A Deterministic Framework for Neural Network Quantum States in Quantum Chemistry
Zheng Che·Jan 29, 2026
Stochastic optimization of Neural Network Quantum States (NQS) in discrete Fock spaces is limited by sampling variance and slow mixing. We present a deterministic framework that optimizes a neural backflow ansatz within dynamically adaptive configura...
Polaron-Polaritons in Subwavelength Arrays of Trapped Atoms
Kristian Knakkergaard Nielsen, Lukas Wangler, David Castells-Graells +4 more·Jan 28, 2026
Subwavelength arrays of atoms trapped in optical lattices or tweezers are inherently susceptible to deformations: Optomechanical forces produce lattice distortions, which, in turn, modify the optical response of the array. We show that this coupling ...
A Hybrid Jump-Diffusion Model for Coherent Optical Control of Quantum Emitters in hBN
Saifian Farooq Bhat, Michael K. Koch, Sachin Negi +2 more·Jan 28, 2026
Hexagonal boron nitride (hBN) has emerged as a promising two-dimensional host for stable single-photon emission owing to its wide bandgap, high photostability, and compatibility with nanophotonic integration. We present a simulation-based study of te...
A Cyclic Layerwise QAOA Training
Enhyeok Jang, Zihan Chen, Dongho Ha +6 more·Jan 27, 2026
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm for solving combinatorial optimization problems. Multi-angle QAOA (MA-QAOA), which assigns independent parameters to each Hamiltonian operator term, achieve...