Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hybrid Atomistic-Parametric Decoherence Model for Molecular Spin Qubits
Katy Aruachan, Sanoj Raj, Yamil J. Colón +2 more·Nov 11, 2025
Solid-state molecular qubits with open-shell ground states have great potential for addressability, scalability, and tunability, but understanding the fundamental limits of quantum coherence in these systems is challenging due to the complexity of th...
Fluctuation amplification engineering in multimode Raman-cavity systems
H. P. Ojeda Collado, Ludwig Mathey·Nov 11, 2025
Parametric amplification is a key ingredient of a wide range of phenomena, from the classical to the quantum domain. Although such phenomena have been demonstrated in non-equilibrium settings, their use for fluctuation engineering has been put forth ...
Hybrid Quantum-Classical Selective State Space Artificial Intelligence
Amin Ebrahimi, Farzan Haddadi·Nov 11, 2025
Hybrid Quantum Classical (HQC) algorithms constitute one of the most effective paradigms for exploiting the computational advantages of quantum systems in large-scale numerical tasks. By operating in high-dimensional Hilbert spaces, quantum circuits ...
From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
Silvie Illésová, Tomáš Bezděk, Vojtěch Novák +3 more·Nov 11, 2025
This work addresses the challenge of enabling practitioners without quantum expertise to transition from classical to hybrid quantum-classical machine learning workflows. We propose a three-stage framework: starting with a classical self-training mod...
Quantum-centric machine learning for molecular dynamics
Yanxian Tao, Lingyun Wan, Xiongzhi Zeng +4 more·Nov 11, 2025
Accurate and efficient prediction of electronic wavefunctions is central to ab initio molecular dynamics (AIMD) and electronic structure theory. However, conventional ab initio methods require self-consistent optimization of electronic states at ever...
Quantum Approximate Walk Algorithm
Ziqing Guo, Jan Balewski, Wenshuo Hu +2 more·Nov 10, 2025
The encoding of classical to quantum data mapping through trigonometric functions within arithmetic-based quantum computation algorithms leads to the exploitation of multivariate distributions. The studied variational quantum gate learning mechanism,...
A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
Said Lantigua, Gilson Giraldi, Renato Portugal·Nov 10, 2025
In this work, we introduce the Quantum-Classical Hybrid Physics-Informed Neural Network with Multiplicative and Additive Couplings (QPINN-MAC): a novel hybrid architecture that integrates the framework of Physics-Informed Neural Networks (PINNs) with...
Direct imaging of magnetotransport at graphene-metal interfaces with a single-spin quantum sensor
C. Ding, M. L. Palm, K. Kohli +3 more·Nov 10, 2025
Magnetotransport underlines many important phenomena in condensed matter physics, such as the Hall effect and magnetoresistance (MR) effect. Thus far, most magnetotransport studies are based on bulk resistance measurements without direct access to mi...
Synchronizing microwave cQED limit-cycle oscillators
Cecilie Hermansen, Jens Paaske·Nov 10, 2025
Self-sustained oscillators play a central role in the stabilization and synchronization of complex dynamical systems. A number of different physical systems are currently being investigated to clarify the importance of such active components in the q...
Biphoton state generation and engineering with bright hybrid III-V/Silicon photonic devices
Lorenzo Lazzari, Jérémie Schuhmann, Othmane Meskine +7 more·Nov 10, 2025
Hybrid photonic circuits, harnessing the complementary strengths of multiple materials, represent a key resource to enable compact, scalable platforms for quantum technologies. In particular, the availability of bright sources of tunable biphoton sta...
GCAMPS: A Scalable Classical Simulator for Qudit Systems
Ben Harper, Azar C. Nakhl, Thomas Quella +2 more·Nov 10, 2025
Classical simulations of quantum systems are notoriously difficult computational problems, with conventional state vector and tensor network methods restricted to quantum systems that feature only a small number of qudits. The recently introduced Cli...
Coherent Optical Quantum Computing-Aided Resource Optimization for Transportation Digital Twin Construction
Huixiang Zhang, Mahzabeen Emu·Nov 10, 2025
Constructing realistic digital twins for applications such as training autonomous driving models requires the efficient allocation of real-world data, yet data sovereignty regulations present a major challenge. To address this, we tackle the optimiza...
Generalized State Discrimination for Tunable Quantum Key Distribution: The phiQKD Protocol
Animesh Banik, Md. Shihab Khan, Rafid Masrur Khan +2 more·Nov 9, 2025
We introduce a tunable framework for generalized quantum state discrimination (GSD) and apply it to quantum key distribution (QKD) through a protocol we call phiQKD. Building upon the two-state B92 protocol, phiQKD replaces the traditional unambiguou...
Magnon-Squeezing-Induced Nonreciprocal Quantum Coherence in a Cavity Magnomechanical System
Abdelkader Hidki, Amjad Sohail, Tesfay Gebremariam Tesfahannes +2 more·Nov 9, 2025
We investigate quantum coherence in a hybrid cavity magnomechanical system incorporating a squeezed-magnon drive. By analyzing the Gaussian quantum coherence of the cavity, magnonic, and mechanical subsystems, as well as the total system coherence, w...
Magnetic and structural properties of epitaxial Er-substituted yttrium iron garnet films grown by pulsed laser deposition
Lukas Flajsman, Lars Peeters, Armi Kosunen +3 more·Nov 9, 2025
Er-substituted yttrium iron garnet (Er:YIG) holds the potential of combining the low magnetic damping of YIG with the telecom-band optical transitions of $\text{Er}^{3+}$ ions, making it a suitable material for hybrid optomagnonic devices and microwa...
Hybrid Real-Imaginary Time Evolution for Low-Depth Hamiltonian Simulation in Quantum Optimization
Fei Li, Xiao-Wei Li·Nov 9, 2025
Counterdiabatic (CD) driving is a powerful technique for accelerating adiabatic quantum computing. However, it becomes self-limiting in complex optimizations like the Sherrington-Kirkpatrick model: long evolution times $T$ needed to traverse crossing...
Strain-engineered nanoscale spin polarization reversal in diamond nitrogen-vacancy centers
Zhixian Liu, Jiahao Sun, Ganyu Xu +7 more·Nov 7, 2025
The ability to control solid-state quantum emitters is fundamental to advancing quantum technologies. The performance of these systems is fundamentally governed by their spin-dependent photodynamics, yet conventional control methods using cavities of...
Open quantum-classical systems: A hybrid MASH master equation
Kasra Asnaashari, Jeremy O. Richardson·Nov 7, 2025
We propose a method which combines the quantum-classical mapping approach to surface hopping (MASH) with the dissipative quantum dynamics of the Lindblad master equation. Like conventional surface-hopping methods, our approach is based on classical t...
A Triple-Hybrid Quantum Support Vector Machine Using Classical, Quantum Gate-based and Quantum Annealing-based Computing
Juan C. Boschero, Ward van der Schoot, Niels M. P. Neumann·Nov 7, 2025
Quantum machine learning is one of the fields where quantum computers are expected to bring advantages over classical methods. However, the limited size of current computers restricts the exploitation of the full potential of quantum machine learning...
Compact localized fermions and Ising anyons in a chiral spin liquid
Tim Bauer, Johannes Reuther·Nov 7, 2025
Quasiparticle hybridization remains a major challenge to realizing and controlling exotic states of matter in existing quantum simulation platforms. We report the absence of hybridization for compact localized states (CLS) emerging in the chiral spin...