Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Layered Performance Analysis of TLS 1.3 Handshakes: Classical, Hybrid, and Pure Post-Quantum Key Exchange
David G'omez-Cambronero, D. Munteanu, Ana Isabel Gonz'alez-Tablas·Mar 11, 2026
In this paper, we present a laboratory study focused on the impact of post-quantum cryptography (PQC) algorithms on multiple layers of stateful HTTP over TLS transactions: the TCP handshake, the intermediate TCP-TLS layer, the TLS handshake, the inte...
A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
Yixiong Chen·Mar 10, 2026
Accurate forecasting of financial market volatility is crucial for risk management, option pricing, and portfolio optimization. Traditional econometric models and classical machine learning methods face challenges in handling the inherent non-linear ...
Enhanced security in Quantum Token protocols using Hybrid Spin-Photon Interfaces
Durga Bhaktavatsala Rao Dasari, Yang Wang, Jörg Wrachtrup·Mar 10, 2026
Quantum token protocols enable unforgeable quantum tokens promising unconditional security beyond classical cryptographic assumptions. We show here that the three stages of the Quantum token protocols involving the preparation, storage and verificati...
Cluster-Adaptive Sample-Based Quantum Diagonalization for Strongly Correlated Systems
Byeongyong Park, Sanha Kang, Jongseok Seo +3 more·Mar 10, 2026
Sample-based quantum diagonalization (SQD) is a hybrid quantum-classical algorithm for estimating ground-state energies in electronic-structure calculations. It uses a quantum processor as a sampler to construct a variational subspace, with Hamiltoni...
Efficient Qubit Simulation of Hybrid Oscillator-Qubit Quantum Computation
Xi Lu, Bojko N. Bakalov, Yuan Liu·Mar 10, 2026
We introduce a framework for simulating hybrid oscillator-qubit quantum processors on qubit-only systems through position encoding. By encoding continuous-variable position and momentum wave functions into qubit amplitudes, our method efficiently sim...
Ultra-precise phase estimation without mode entanglement
Mikhail S. Podoshvedov, Sergey A. Podoshvedov·Mar 10, 2026
We explore optical quantum engineering of phase-parameterized continuous-variable (CV) probe states to exploit nonclassical light to solve the problem of precise phase estimation. The optical interferometer consists of a single beam splitter (BS) wit...
Characterization and upgrade of a quantum graph neural network for charged particle tracking
Matteo Argenton, Laura Cappelli, Concezio Bozzi·Mar 9, 2026
In the forthcoming years the LHC experiments are going to be upgraded to benefit from the substantial increase of the LHC instantaneous luminosity, which will lead to larger, denser events, and, consequently, greater complexity in reconstructing char...
Stochastic Loop Corrections to Belief Propagation for Tensor Network Contraction
Gi Beom Sim, Tae Hyeon Park, Kwang S. Kim +6 more·Mar 9, 2026
Tensor network contraction is a fundamental computational challenge underlying quantum many-body physics, statistical mechanics, and machine learning. Belief propagation (BP) provides an efficient approximate solution, but introduces systematic error...
Classically Driven Hybrid Quantum Algorithms with Sequential Givens Rotations for Reduced Measurement Cost
Benjamin Mokhtar, Noboru Inoue, Takashi Tsuchimochi·Mar 9, 2026
Quantum algorithms for electronic-structure simulations are actively being developed, yet many hybrid quantum-classical approaches are bottlenecked by the measurement overhead associated with large molecular Hamiltonians. Here we introduce a diagonal...
A Scalable Distributed Quantum Optimization Framework via Factor Graph Paradigm
Yuwen Huang, Xiaojun Lin, Bin Luo +1 more·Mar 8, 2026
Distributed quantum computing (DQC) connects many small quantum processors into a single logical machine, offering a practical route to scalable quantum computation. However, most existing DQC paradigms are structure-agnostic. Circuit cutting propose...
Partial Differential Equations in the Age of Machine Learning: A Critical Synthesis of Classical, Machine Learning, and Hybrid Methods
M. Nooraiepour, J. Both, T. Kadeethum +1 more·Mar 8, 2026
Partial differential equations (PDEs) govern physical phenomena across the full range of scientific scales, yet their computational solution remains one of the defining challenges of modern science. This critical review examines two mature but episte...
Post-quantum Federated Learning: Secure And Scalable Threat Intelligence For Collaborative Cyber Defense
Prabhudarshi Nayak, G. Thiyagarajan, Ritunsa Mishra +1 more·Mar 8, 2026
Collaborative threat intelligence via federated learning (FL) faces critical risks from quantum computing, which can compromise classical encryption methods. This study proposes a quantum-secure FL framework using post-quantum cryptography (PQC) to p...
Hybrid light-matter excitations and spontaneous time-reversal symmetry breaking in two-dimensional Josephson Junctions
V. Varrica, G. Falci, E. Paladino +1 more·Mar 7, 2026
In the context of hybrid superconductor-semiconductor systems, Josephson junctions based on two-dimensional materials, such as graphene, offer promising opportunities because of their scalability and gate-tunable electronic properties. In this work, ...
For molecular polaritons, disorder and phonon timescales control the activation of dark states in the thermodynamic limit
Tianchu Li, Pranay Venkatesh, Qiang Shi +1 more·Mar 6, 2026
Collective light-matter systems host an extensive manifold of dark states whose role in the emergence of thermodynamic behavior remains poorly understood, especially in the presence of disorder and structured environments. Here, we develop a hybrid m...
Hybrid quantum-classical simulations of semiclassical gravity
Carlos Fulgado-Claudio, Daniel González-Cuadra, Jose Beltrán Jiménez +1 more·Mar 6, 2026
We propose a hybrid quantum-classical algorithm for the simulation of real-time dynamics in interacting quantum field theories coupled to classical fields, focusing on the self-consistent estimation of semiclassical backreaction. By discretizing spac...
A Mixture-of-Experts Framework for Practical Hybrid-Quantum Models in Credit Card Fraud Detection
Rodrigo Chaves, Kunal Kumar, Bruno Chagas +4 more·Mar 6, 2026
This paper investigates whether hybrid quantum-classical machine learning can deliver practical improvements in financial fraud detection performance for card-based and other payment transactions. Building on a Guided Quantum Compressor architecture,...
Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
Saadet Müzehher Eren·Mar 6, 2026
We propose a quantum implicit neural representation (QINR)-based autoencoder (AE) and variational autoencoder (VAE) for image reconstruction and generation tasks. Our purpose is to demonstrate that the QINR in VAEs and AEs can transform information f...
Decoder Performance in Hybrid CV-Discrete Surface-Code Threshold Estimation Using LiDMaS+
Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1 more·Mar 6, 2026
Threshold estimation is central to fault-tolerant quantum computing, but the reported threshold depends not only on the code and noise model, but also on the decoder used to interpret syndrome data. We study this dependence for surface-code threshold...
Heterogeneous entanglement between a trapped ion and a solid-state quantum memory
Chen-Xu Wang, Yi-Yang Wang, Tian-Xiang Zhu +11 more·Mar 6, 2026
Hybrid quantum networks offer a promising architecture for scalable quantum information processing and a future quantum internet, as they can combine the complementary strengths of disparate physical platforms. While single-atom systems provide deter...
Variational Quantum Eigensolver for the Analysis of High-Resolution NMR Spectra: Applications to AB and AB2 Spin Systems
Murat Kurt, Ayda Kaltehei, Selçuk Çakmak +1 more·Mar 5, 2026
The Variational Quantum Algorithms (VQAs) are hybrid quantum-classical algorithms and they can be used in the Nosiy Intermadiate Scale Quantum (NISQ) devises. The Variational Quantum Eigensolver (VQE) was suggested as a first VQA. VQE is based on the...