Papers
Live trends in quantum computing research, updated daily from arXiv.
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Quantum-Inspired Hamiltonian Feature Extraction for ADMET Prediction: A Simulation Study
B. Maurice Benson, Kendall Byler, Anna Petroff +2 more·Mar 3, 2026
Predicting absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties remains a critical bottleneck in drug discovery. While molecular fingerprints effectively capture local structural features, they struggle to represent higher...
Exact stabilizer scars in two-dimensional $U(1)$ lattice gauge theory
Sabhyata Gupta, Piotr Sierant, Luis Santos +1 more·Mar 3, 2026
The complexity of highly excited eigenstates is a central theme in nonequilibrium many-body physics, underpining questions of thermalization, classical simulability, and quantum information structure. In this work, considering the paradigmatic Rokhsa...
Simulating a quantum sensor: quantum state tomography of NV-spin systems
Alberto López-García, Aikaterini Vasilakou, Javier Cerrillo·Mar 3, 2026
We employ a quantum computer to simulate the effect of spin impurities on nitrogen-vacancy (NV) centers in diamond. As these defects operate as nanoscale quantum sensors, modeling quantum noise is crucial to identify limitations in precision. The ana...
Motion-induced directionality of collective emission in a non-chiral waveguide
Yoan Spahn, Jens Hartmann, Benedikt Saalfrank +3 more·Mar 3, 2026
We report on the observation of motion-induced directionality in the collective emission of atoms confined within a hollow-core waveguide. Unlike in chiral waveguides, the atom-field coupling is here isotropic in the forward and backward direction. H...
Improved Grid-Based Simulation of Coulombic Dynamics
Xiaoning Feng, Hans Hon Sang Chan, David P. Tew·Mar 3, 2026
Accurate time-dependent quantum dynamics of Coulombic systems on grid-based representations remains computationally demanding due to the singularity of the Coulomb potential, which necessitates extremely fine spatial grids to mitigate discretisation ...
Toward multi-purpose quantum communication networks: from theory to protocol implementation
Lucas Hanouz, Marc Kaplan, Jean-Sébastien Kersaint Tournebize +2 more·Mar 3, 2026
Most quantum communication networks around the world are used for a single task: quantum key distribution. In order to initiate the transition to multi-purpose quantum communication networks, we demonstrate the implementation of two different tasks o...
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...
Charging power enhancement at the phase transition of a non-integrable quantum battery
D. Farina, M. Sassetti, V. Cataudella +2 more·Mar 3, 2026
Exploiting many-body interaction and critical phenomena to improve the performance of quantum batteries is an emerging and promising line of research. A central question in this direction is whether quantum phase transitions can enhance the charging ...
Merged amplitude encoding for Chebyshev quantum Kolmogorov--Arnold networks: trading qubits for circuit executions
Hikaru Wakaura·Mar 3, 2026
Quantum Kolmogorov--Arnold networks based on Chebyshev polynomials (CCQKAN) evaluate each edge activation function as a quantum inner product, creating a trade-off between qubit count and the number of circuit executions per forward pass. We introduc...
Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion
Yoshiaki Kawase·Mar 3, 2026
While real quantum devices have been increasingly used to conduct research focused on achieving quantum advantage or quantum utility in recent years, executing deep quantum circuits or performing quantum machine learning with large-scale data on curr...
Causal Learning Should Embrace the Wisdom of the Crowd
Ryan Feng Lin, Yuantao Wei, Huiling Liao +2 more·Mar 3, 2026
Learning causal structures typically represented by directed acyclic graphs (DAGs) from observational data is notoriously challenging due to the combinatorial explosion of possible graphs and inherent ambiguities in observations. This paper argues th...
Quantum Algorithms for Approximate Graph Isomorphism Testing
Prateek P. Kulkarni·Mar 3, 2026
The graph isomorphism problem asks whether two graphs are identical up to vertex relabeling. While the exact problem admits quasi-polynomial-time classical algorithms, many applications in molecular comparison, noisy network analysis, and pattern rec...
RIS-Enabled Wireless Channel Equalization: Adaptive RIS Equalizer and Deep Reinforcement Learning
Gal Ben-Itzhak, Ender Ayanoglu·Mar 3, 2026
Reconfigurable Intelligent Surfaces (RISs) offer a promising means of reshaping the wireless propagation environment, yet practical methods for configuring large passive arrays to achieve reliable signal equalization remain limited. Equalization is e...
JIMWLK on a quantum computer
Anjali A. Agrawal, Evan Budd, A. F. Kemper +3 more·Mar 3, 2026
We propose a method for solving the Jalilian-Marian-Iancu-McLerran-Weigert-Leonidov-Kovner (JIMWLK) evolution equation on quantum computers. Our approach exploits the reformulation of the JIMWLK equation as a Lindblad master equation governing the ra...
Barenco gate implementation using driven two- and three-qubit spin chains
Rafael Vieira, Edgard P. M. Amorim·Mar 2, 2026
We propose a protocol for implementing Barenco-type multi-qubit controlled gates using short driven spin chains. Starting from an Ising interaction with a transverse drive on the last spin, we construct an effective two-qubit Hamiltonian whose time e...
EAQKD: Entanglement-Based Authenticated Quantum Key Distribution
Noureldin Mohamed, Saif Al-Kuwari·Mar 2, 2026
The promise of unconditional security in the Quantum Key Distribution (QKD) depends on the availability of an authenticated classical channel. However, practical implementations often overlook this requirement or rely on computational assumptions tha...
A Block Belief-Propagation Algorithm for the Contraction of Tensor-Networks
Nir Gutman·Mar 2, 2026
Simulating many-body quantum systems on a classical computer is difficult due to the large number of degrees of freedom, causing the computational complexity to grow exponentially with system size. Tensor Networks (TN) is a framework that breaks down...
Unveiling Davydov-Split Excitons in a Template-Engineered Molecular-Graphene Heterostructure
Jan Kunc, Bohdan Morzhuk, Veronika Stará +6 more·Mar 2, 2026
The realization of high-fidelity organic-inorganic quantum emulators is frequently hindered by the interfacial imperfections introduced during device fabrication. Here, we demonstrate a robust nanofabrication protocol that restores the atomic-scale p...
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...
Tensor-network methodology for super-moiré excitons beyond one billion sites
Anouar Moustaj, Yitao Sun, Tiago V. C. Antão +2 more·Mar 2, 2026
Computing excitonic spectra in quasicrystal and super-moiré systems constitutes a formidable challenge due to the exceptional size of the excitonic Hilbert space. Here, we demonstrate a tensor-network method for the real-space Bethe-Salpeter Hamilton...