Papers
Live trends in quantum computing research, updated daily from arXiv.
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Localization Without Disorder: Quantum Walks on Structured Graphs
Shyam Dhamapurkar, K. Venkata Subrahmanyam·Mar 5, 2026
Continuous-time quantum walks (CTQWs) exhibit localization phenomena that differ fundamentally from their classical counterparts, yet the precise relationship between network structure, spectral degeneracy, and confined dynamics remains incompletely ...
The Need for Quantitative Resilience Models and Metrics in Classical-Quantum Computing Systems
Santiago Núñez-Corrales·Mar 5, 2026
Increasingly deeper integration of HPC resources and QPUs unveils new challenges in computer architecture and engineering. As a consequence, dependability arises again as a concern encompassing resilience, reproducibility and security. The properties...
Ultra-slow orbital and spin dynamics in an electrically tunable quantum dot molecule
Christopher Thalacker, Michelle Lienhart, Markus Stöcker +13 more·Mar 5, 2026
Tunnel-coupled optically active quantum dot molecules (QDMs), have the potential to operate as spin-photon-interfaces with coupled spins that interact with two different photon frequencies at the same time. A prerequisite is to deterministically prep...
Nonreciprocal transparency windows, Fano resonance, and slow/fast light in a membrane-in-the-middle magnomechanical system induced by the Barnett effect
M. Amghar, M. Amazioug·Mar 5, 2026
Nonreciprocal phenomena are currently a major focus of research within the fields of classical and quantum technology. In this work, we theoretically investigate the interplay among multiple magnomechanically induced transparency (MMIT) windows, Fano...
Computing Green's functions and improving ground state energy estimation on quantum computers with Liouvillian recursion
Jérôme Leblanc, Olivier Nahman-Lévesque, Julien Forget +3 more·Mar 5, 2026
We present a quantum-classical hybrid implementation of the Liouvillian recursion method to compute many-body Green's functions using a quantum computer. From an approximate ground state preparation circuit, this algorithm produces the local ($r=r'$)...
Simulating Lattice Gauge Theories with Virtual Rishons
David Rogerson, João Barata, Robert M. Konik +2 more·Mar 5, 2026
Classical tensor network and hybrid quantum-classical algorithms are promising candidates for the investigation of real-time properties of lattice gauge theories. We develop here a novel framework which enforces gauge symmetry via a quantum-link virt...
Multistability and Self-Trapping in Cavity-Magnonic Dimer
Pooja Kumari Gupta, Amarendra K. Sarma, Subhadeep Chakraborty·Mar 5, 2026
We show that a driven-dissipative cavity-magnonic dimer supports multistability with coexisting symmetric and symmetry-broken steady states. The interplay between magnon Kerr nonlinearity and photon tunneling induces magnon self-trapping, leading to ...
Robust composite two-qubit gates for silicon-based spin qubits
Yang-Yang Yu, Guang-Hui Zhang, Yan-Jie He +3 more·Mar 5, 2026
We propose a universal approach based on Hamiltonian inverse engineering to realize a set of parameterized two-qubit gates. This method possesses unique advantages to simultaneous control of transitions among four energy levels, providing a simpler a...
HyQBench: A Benchmark Suite for Hybrid CV-DV Quantum Computing
Shubdeep Mohapatra, Yuan Liu, Eddy Z. Zhang +1 more·Mar 4, 2026
Hybrid continuous-variable (CV)-discrete-variable (DV) quantum systems present a promising direction for quantum computing by combining the high dimensional encoding capabilities of qumodes with the control offered by DV qubits on the coupled qumodes...
Achieving Optimal-Distance Atom-Loss Correction via Pauli Envelope
Pengyu Liu, Shi Jie Samuel Tan, Eric Huang +3 more·Mar 4, 2026
Atom loss is a major error source in neutral-atom quantum computers, accounting for over 40% of the total physical errors in recent experiments. Its nonlinear and correlated nature poses significant challenges: current syndrome extraction circuits re...
Entanglement between quantum dots transmitted via Majorana wire: Insights from the fermionic negativity, concurrence and quantum mutual information
C. Jasiukiewicz, A. Sinner, I. Weymann +2 more·Mar 4, 2026
We study quantum entanglement in a system comprising two quantum dots interconnected through the short topological superconducting nanowire, which hosts overlapping boundary Majorana modes. Inspecting the fermionic negativity, we analyze the variatio...
Fermi-Dirac thermal measurements: A framework for quantum hypothesis testing and semidefinite optimization
Nana Liu, Mark M. Wilde·Mar 4, 2026
Quantum measurements are the means by which we recover messages encoded into quantum states. They are at the forefront of quantum hypothesis testing, wherein the goal is to perform an optimal measurement for arriving at a correct conclusion. Mathemat...
Towards Practical Quantum Federated Learning: Enhancing Efficiency and Noise Tolerance
Suzukaze Kamei, Hideaki Kawaguchi, Takahiko Satoh·Mar 4, 2026
Federated Learning (FL) enables privacy-preserving distributed model training, yet remains vulnerable to gradient inversion and model leakage attacks. Quantum communication has been proposed to provide information-theoretic security for parameter agg...
Quantum-Assisted Optimal Rebalancing with Uncorrelated Asset Selection for Algorithmic Trading Walk-Forward QUBO Scheduling via QAOA
Abraham Itzhak Weinberg·Mar 4, 2026
We present a hybrid classical-quantum framework for portfolio construction and rebalancing. Asset selection is performed using Ledoit-Wolf shrinkage covariance estimation combined with hierarchical correlation clustering to extract n = 10 decorrelate...
Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer
William Kirby, Bibek Pokharel, Javier Robledo Moreno +25 more·Mar 3, 2026
We experimentally demonstrate that a hybrid quantum-classical algorithm can outperform purely classical, off-the-shelf selected configuration interaction methods. First, we construct a class of local Hamiltonian problems with sparse ground states, an...
Multiparty Quantum Key Agreement: Architectures, State-of-the-art, and Open Problems
Malik Mouaji, Saif Al-Kuwari·Mar 3, 2026
Multiparty quantum key agreement (MQKA) enables $n \geq 3$ mutually distrustful users to establish a shared secret key through collaborative quantum protocols. In this paper, we provide a comprehensive review where we argue that MQKA is best understo...
An Extensible Quantum Network Simulator Built on ns-3: Q2NS Design and Evaluation
Adam Pearson, Francesco Mazza, Marcello Caleffi +1 more·Mar 3, 2026
As quantum networking hardware remains costly and not yet widely accessible, simulation tools are essential for the design and evaluation of quantum network architectures and protocols. However, designing a scalable and computationally efficient quan...
Correction scheme for total energy obtained on fault-tolerant quantum computer via quantum dominant orbital selection and subspace dynamical correlation methods
Nobuki Inoue, Hisao Nakamura·Mar 3, 2026
We propose a practical method for accurately evaluating molecular energies using a hybrid approach that integrates fault-tolerant quantum computers with classical computing. Our scheme comprises two complementary methods: quantum dominant orbital sel...
Neural quantum support vector data description for one-class classification
Changjae Im, Hyeondo Oh, Daniel K. Park·Mar 3, 2026
One-class classification (OCC) is a fundamental problem in machine learning with numerous applications, such as anomaly detection and quality control. With the increasing complexity and dimensionality of modern datasets, there is a growing demand for...
Quantum algorithm for the lattice Boltzmann method with applications on real quantum devices
Antonio Bastida-Zamora, Ljubomir Budinski, Oskari Kerppo +8 more·Mar 2, 2026
We introduce a novel quantum algorithm for the lattice Boltzmann method (LBM) based on the one-step simplified LBM. The structure of the algorithm allows for more flexibility in modelling different physics in contrast to earlier quantum algorithms fo...