Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Brownian Motion as a Classical Stochastic Process in Phase Space
Dmitriy Kondaurov, Evgeny Polyakov·Dec 9, 2025
We establish that the exact quantum dynamics of a Brownian particle in the Caldeira-Leggett model can be mapped, at any temperature, onto a classical, non-Markovian stochastic process in phase space. Starting from a correlated thermal equilibrium sta...
Anisotropic transport in ballistic bilayer graphene cavities
Florian Schoeppl, Alina Mrenca-Kolasinska, Ming-Hao Liu +3 more·Dec 9, 2025
Closing the gap between ray tracing simulations and experimentally observed electron jetting in bilayer graphene (BLG), we study all-electronic, gate-defined BLG cavities using tight-binding simulations and semiclassical equations of motion. Such cav...
Quantum simulation in the entanglement picture
D. -S. Wang, X. Xu, Y. -D. Liu·Dec 9, 2025
The notion of ``picture'' is fundamental in quantum mechanics. In this work, a new picture, which we call entanglement picture, is proposed based on the novel channel-state duality, whose importance is revealed in quantum information science. We illu...
Decay of spin helices in XXZ quantum spin chains with single-ion anisotropy
Florian Lange, Frank Göhmann, Gerhard Wellein +1 more·Dec 9, 2025
Long-lived spin-helix states facilitate the study of non-equilibrium dynamics in quantum magnets. We consider the decay of transverse spin-helices in antiferromagnetic spin-$S$ XXZ chains with single-ion anisostropy. The spin-helix decay is observabl...
Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer
Daniele Loco, Kisa Barkemeyer, Andre R. R. Carvalho +1 more·Dec 9, 2025
Demonstrating the practical utility of Noisy Intermediate-Scale Quantum (NISQ) hardware for recurrent tasks in Computer-Aided Drug Discovery is of paramount importance. We tackle this challenge by performing three-dimensional protein pockets hydratio...
Programmable Open Quantum Systems
Mingrui Jing, Mengbo Guo, Lin Zhu +2 more·Dec 9, 2025
Programmability is a unifying paradigm for enacting families of quantum transformations via fixed processors and program states, with a fundamental role and broad impact in quantum computation and control. While there has been a shift from viewing op...
Device/circuit simulations of silicon spin qubits based on a gate-all-around transistor
Tetsufumi Tanamoto, Keiji Ono·Dec 9, 2025
We theoretically investigated the readout process of a spin--qubit structure based on a gate-all-around (GAA) transistor. Our study focuses on a logical qubit composed of two physical qubits. Different spin configurations result in different charge d...
Quantum Monte Carlo in Classical Phase Space with the Wigner-Kirkwood Commutation Function. Results for the Saturation Liquid Density of $^4$He
Phil Attard·Dec 8, 2025
A Metropolis Monte Carlo algorithm is given for the case of a complex phase space weight, which applies generally in quantum statistical mechanics. Computer simulations using Lennard-Jones $^4$He near the $λ$-transition, including an expansion to thi...
F2: Offline Reinforcement Learning for Hamiltonian Simulation via Free-Fermionic Subroutine Compilation
Ethan Decker, Christopher Watson, Junyu Zhou +5 more·Dec 8, 2025
Compiling shallow and accurate quantum circuits for Hamiltonian simulation remains challenging due to hardware constraints and the combinatorial complexity of minimizing gate count and circuit depth. Existing optimization method pipelines rely on han...
Entanglement Through Topological Defects: Reconciling Theory with Numerics
Christian Northe, Paolo Rossi·Dec 8, 2025
Present theoretical predictions for the entanglement entropy through topological defects are violated by numerical simulations. In order to resolve this, we introduce a paradigm shift in the preparation of reduced density matrices in the presence of ...
Fast-feedback protocols for calibration and drift control in quantum computers
Alicia B. Magann, Nathan E. Miller, Robin Blume-Kohout +2 more·Dec 8, 2025
We introduce two classes of lightweight, adaptive calibration protocols for quantum computers that leverage fast feedback. The first enables shot-by-shot updates to device parameters using measurement outcomes from simple, indefinite-outcome quantum ...
Strongly driven cavity quantum electrodynamical-optomechanical hybrid system
Xuxin Wang, Jiahe Pan, Tobias J. Kippenberg +1 more·Dec 8, 2025
Hybrid quantum systems harness the distinct advantages of different physical platforms, yet their integration is not always trivial due to potential incompatibilities in operational principles. Here, we theoretically propose and demonstrate a scheme ...
The Native Spiking Microarchitecture: From Iontronic Primitives to Bit-Exact FP8 Arithmetic
Zhengzheng Tang·Dec 8, 2025
The 2025 Nobel Prize in Chemistry for Metal-Organic Frameworks (MOFs) and recent breakthroughs by Huanting Wang's team at Monash University establish angstrom-scale channels as promising post-silicon substrates with native integrate-and-fire (IF) dyn...
Single-Operation Rydberg Phase Gates via Dynamic Population Suppression
Sebastian C. Carrasco, Jabir Chathanathil, Svetlana A. Malinovskaya +2 more·Dec 8, 2025
We propose a versatile control protocol based on modulated zero-pulse-area fields that dynamically suppresses Rydberg excitation while retaining Rydberg-Rydberg interactions as an entangling phase resource. This mechanism enables single-step, perfect...
Tensor Network Lattice Boltzmann Method for Data-Compressed Fluid Simulations
Lukas Gross, Elie Mounzer, David M. Wawrzyniak +2 more·Dec 8, 2025
Resolving unsteady transport phenomena in geometrically complex domains is traditionally constrained by polynomial scaling of computational cost with spatial resolution. While methods based on tensor-network data representations or matrix-product sta...
Quantum algorithms for viscosity solutions to nonlinear Hamilton-Jacobi equations based on an entropy penalisation method
Shi Jin, Nana Liu·Dec 8, 2025
We present a framework for efficient extraction of the viscosity solutions of nonlinear Hamilton-Jacobi equations with convex Hamiltonians. These viscosity solutions play a central role in areas such as front propagation, mean-field games, optimal co...
Quantum computing of nonlinear reacting flows via the probability density function method
Jizhi Zhang, Ziang Yang, Zhaoyuan Meng +2 more·Dec 8, 2025
Quantum computing offers the promise of speedups for scientific computations, but its application to reacting flows is hindered by nonlinear source terms, the challenges of time-dependent simulations, and the difficulty of extracting meaningful physi...
Exponentially accelerated relaxation and quantum Mpemba effect in open quantum systems
Emerson Lima Caldas, Diego Paiva Pires·Dec 8, 2025
We investigate the quantum Mpemba effect in the relaxation of open quantum systems whose effective dynamics is described by Davies maps. We present a class of unitary transformations built from permutation matrices that, when applied to the initial s...
Site-controlled quantum dot arrays edge-coupled to integrated silicon nitride waveguides and devices
John O'Hara, Nicola Maraviglia, Mack Johnson +7 more·Dec 8, 2025
The scalability of quantum photonic integrated circuits opens the path towards large-scale quantum computing and communication. To date, this scalability has been limited by the stochastic nature of the quantum light sources. Moreover, hybrid integra...
Artificial Intelligence and Nuclear Weapons Proliferation: The Technological Arms Race for (In)visibility
David M. Allison, Stephen Herzog·Dec 8, 2025
A robust nonproliferation regime has contained the spread of nuclear weapons to just nine states. Yet, emerging and disruptive technologies are reshaping the landscape of nuclear risks, presenting a critical juncture for decision makers. This article...