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 photon blockade with hyperradiance in two-qubit cavity QED system
Zhuorui Wang, Jun Li·Mar 26, 2026
We investigate a hybrid photon blockade (HPB) scheme in a driven two-qubit cavity QED system arising from the combination of eigenenergy-level anharmonicity (ELA) and quantum destructive interference (QDI). By tuning the detuning of a single qubit an...
Second-order Skin Effect in a Brick-Wall Lattice
Dipendu Halder, Srijata Lahiri, Saurabh Basu·Mar 25, 2026
Non-Hermitian skin effect, which is a unique feature of non-Hermitian systems, exhibits the formation of an extensive number of boundary modes under open boundary conditions. However, its manifestation in higher dimensions remains elusive. In our wor...
Fluorescence spectrum of a hybrid three-level quantum dot nanoparticle system
Aryan Iliat·Mar 25, 2026
Quantum optics provides a fundamental framework for understanding the interaction between light and matter at the quantum level. Recently, it has been shown that under incoherent pumping, the resonance fluorescence spectrum dramatically changes. Engi...
Auto-regressive Neural Quantum State Sampling for Selected Configuration Interaction
Shane Thompson, Daniel Gunlycke·Mar 25, 2026
Accurate ground-state energy calculations remain a central challenge in quantum chemistry due to the exponential scaling of the many-body Hilbert space. Variational Monte Carlo and variational quantum eigensolvers offer promising ansatz optimization ...
Superconducting properties of lifted-off Niobium nanowires
A. Kotsovolou, F. Soofivand, P. Singha +7 more·Mar 25, 2026
Hybrid superconductor/semiconductor devices play a crucial role in advancing quantum science and technology by merging the properties of superconductors and semiconductors. To operate these devices at high temperature, Niobium could substitute the wi...
A material-agnostic platform to probe spin-phonon interactions using high-overtone bulk acoustic wave resonators
Q. Greffe, A. Hugot, S. Zhang +6 more·Mar 25, 2026
Spin-phonon interactions have a dual role in emerging spin-based quantum technologies. While they can be a limitation to device performance through decoherence, they also serve as a critical resource for coherent spin control, detection, and the real...
Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows
Mar Tejedor, Michele Grossi, Cenk Tüysüz +2 more·Mar 25, 2026
Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventional systems alone. Coordinating these heterogeneous resources at scale d...
Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
Jucai Zhai, Muhammad Abdullah, Boyang Chen +6 more·Mar 25, 2026
In scientific computing, the formulation of numerical discretisations of partial differential equations (PDEs) as untrained convolutional layers within Convolutional Neural Networks (CNNs), referred to by some as Neural Physics, has demonstrated good...
Digitally Optimized Initializations for Fast Thermodynamic Computing
Mattia Moroder, Felix C. Binder, John Goold·Mar 25, 2026
Thermodynamic computing harnesses the relaxation dynamics of physical systems to perform matrix operations. A key limitation of such approaches is the often long thermalization time required for the system to approach equilibrium with sufficient accu...
A Longitudinal Analysis of the CEC Single-Objective Competitions (2010-2024) and Implications for Variational Quantum Optimization
Vojtěch Novák, Tomáš Bezděk, Ivan Zelinka +2 more·Mar 25, 2026
This paper provides a historical analysis of the IEEE CEC Single Objective Optimization competition results (2010-2024). We analyze how benchmark functions shaped winning algorithms, identifying the 2014 introduction of dense rotation matrices as a k...
Kinetics-Driven Selective Stoichiometric Shift and Structural Asymmetry in $Bi_4Te_3$ Nanostructures for Hybrid Quantum Architectures
Abdur Rehman Jalil, H. Valencia, Christoph Ringkamp +6 more·Mar 25, 2026
Advances in hybrid quantum architectures hinge on topological materials that can be synthesized with precise stoichiometric and structural control at the nanoscale. While $Bi_4Te_3$ is a promising candidate due to its dual topological phases, acting ...
Reaching for the performance limit of hybrid density functional theory for molecular chemistry
Jiashu Liang, Martin Head-Gordon·Mar 24, 2026
Density functional theory (DFT) offers an exceptional balance between accuracy and efficiency, but practical density functional approximations face an unavoidable trade-off among simplicity, accuracy, and transferability. A systematic protocol is the...
Markov State--Space Modeling and Channel Characterization for DNA-Based Molecular Communication
Ruifeng Zheng, Zhihan Xu, Veronika Volkova +5 more·Mar 24, 2026
In this paper, we study DNA-based molecular communication with microarray-style reception under reversible hybridization, where the bound-state observation exhibits both inter-symbol interference and colored counting noise. To capture these effects i...
Dark Matter Detection through Rydberg Atom Transducer
J. F. Chen, Haokun Fu, Christina Gao +5 more·Mar 24, 2026
Ultralight bosonic dark matter with masses in the meV range, corresponding to terahertz (THz) Compton frequencies, remains largely unexplored due to the difficulty of achieving both efficient signal conversion and single-photon-sensitive detection at...
Solving Nonlinear Partial Differential Equations via a Hybrid Newton Method Using Quantum Linear System Solver
Maximilian Mandelt Buxadé, Stefan Langer, Philipp Bekemeyer·Mar 24, 2026
To approximate solutions of complex nonlinear partial differential equations remains a computational challenge, especially for sets of equations relevant in industry, such as Euler or Navier-Stokes equations. Even the most sophisticated computational...
Local and Global Master Equations through the Lens of Non-Hermitian Physics
Grazia Di Bello, Fabrizio Pavan, Vittorio Cataudella +1 more·Mar 24, 2026
We investigate the relation between non-Hermitian Hamiltonian and Lindblad dynamics in nonequilibrium open quantum systems. Non-Hermitian models can extend phase diagrams and enable sensing advantages, but such effects often rely on postselection, ra...
RC-HEOM Hybrid Method for Non-Perturbative Open System Dynamics
Po-Rong Lai, Jhen-Dong Lin, Yi-Te Huang +3 more·Mar 24, 2026
The Hierarchical equations of motion (HEOM) method is an important non-perturbative technique, allowing numerically exact treatment of open quantum systems with strong coupling and non-Markovian memory. However, its encoding of bath memory into auxil...
Global Optimization for Parametrized Quantum Circuits
Iosif Sakos, Antonios Varvitsiotis, Georgios Korpas +1 more·Mar 23, 2026
In the absence of error correction, noisy intermediate-scale quantum devices are operated by training parametrized quantum circuits (PQCs) so as to minimize a suitable loss function. Finding the optimal parameters of those circuits is a hard optimiza...
Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
Harsh Wadhwa, Rahul Bhowmick, Naipunnya Raj +3 more·Mar 23, 2026
Quantum machine learning models generally lack principled design guidelines, often requiring full resource-intensive training across numerous choices of encodings, quantum circuit designs and initialization strategies to find effective configuration....
Evidential Quantum Vertical Federated Learning
Hao Luo, Zhiyuan Zhai, Qianli Zhou +3 more·Mar 22, 2026
Quantum federated learning (QFL) has recently emerged as a promising paradigm for privacy-preserving collaborative learning, yet most existing studies focus on horizontal federated learning and ignore the vertical federated learning (VFL), where part...