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Former senior politicians, including Sir Ben Wallace, Jack Straw and Amber Rudd, play a fictional British government pitched against an imagined Kremlin.
The Wargame: New Sky News and Tortoise Media podcast series simulates a Russian attack on UK

The complexity of deciding characteristic formulae modulo nested simulation
Luca Aceto, Antonis Achilleos, Aggeliki Chalki, Anna Ingolfsdottir
https://arxiv.org/abs/2505.22277

The complexity of deciding characteristic formulae modulo nested simulation
This paper studies the complexity of determining whether a formula in the modal logics characterizing the nested-simulation semantics is characteristic for some process, which is equivalent to determining whether the formula is satisfiable and prime. The main results are that the problem of determining whether a formula is prime in the modal logic characterizing the 2-nested-simulation preorder is CoNP-complete and is PSPACE-complete in the case of the n-nested-simulation preorder, when n>= 3. …

Quantum Simulation of Molecular Dynamics Processes - A Benchmark Study Using Classical Simulator and Present-Day Quantum Hardware
Tamila Kuanysheva, Brian Kendrick, Lukasz Cincio, Dmitri Babikov
https://arxiv.org/abs/2507.21030

Quantum Simulation of Molecular Dynamics Processes - A Benchmark Study Using Classical Simulator and Present-Day Quantum Hardware
We explore how the fundamental problems in quantum molecular dynamics can be modelled using classical simulators (emulators) of quantum computers and the actual quantum hardware available to us today. The list of problems we tackle includes propagation of a free wave packet, vibration of a harmonic oscillator, and tunneling through a barrier. Each of these problems starts with the initial wave packet setup. Although Qiskit provides a general method for initializing wavefunctions, in most cases …

Morelle: Start-up will E-Bike binnen 15 Minuten voll laden
Das kalifornische Start-up Morelle will ein E-Bike mit Schnellladetechnologie auf den Markt bringen. Innerhalb von 15 Minuten soll der Akku nachgeladen sein.

CyGym: A Simulation-Based Game-Theoretic Analysis Framework for Cybersecurity
Michael Lanier, Yevgeniy Vorobeychik
https://arxiv.org/abs/2506.21688 https:/…

CyGym: A Simulation-Based Game-Theoretic Analysis Framework for Cybersecurity
We introduce a novel cybersecurity encounter simulator between a network defender and an attacker designed to facilitate game-theoretic modeling and analysis while maintaining many significant features of real cyber defense. Our simulator, built within the OpenAI Gym framework, incorporates realistic network topologies, vulnerabilities, exploits (including-zero-days), and defensive mechanisms. Additionally, we provide a formal simulation-based game-theoretic model of cyberdefense using this sim…

Simulating Human Behavior with the Psychological-mechanism Agent: Integrating Feeling, Thought, and Action
Qing Dong, Pengyuan Liu, Dong Yu, Chen Kang
https://arxiv.org/abs/2507.19495

Simulating Human Behavior with the Psychological-mechanism Agent: Integrating Feeling, Thought, and Action
Generative agents have made significant progress in simulating human behavior, but existing frameworks often simplify emotional modeling and focus primarily on specific tasks, limiting the authenticity of the simulation. Our work proposes the Psychological-mechanism Agent (PSYA) framework, based on the Cognitive Triangle (Feeling-Thought-Action), designed to more accurately simulate human behavior. The PSYA consists of three core modules: the Feeling module (using a layer model of affect to sim…

DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments
Yufei Jia, Guangyu Wang, Yuhang Dong, Junzhe Wu, Yupei Zeng, Haonan Lin, Zifan Wang, Haizhou Ge, Weibin Gu, Kairui Ding, Zike Yan, Yunjie Cheng, Yue Li, Ziming Wang, Chuxuan Li, Wei Sui, Lu Shi, Guanzhong Tian, Ruqi Huang, Guyue Zhou
https://arxiv.org/abs/2507.219…

DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments
We present the first unified, modular, open-source 3DGS-based simulation framework for Real2Sim2Real robot learning. It features a holistic Real2Sim pipeline that synthesizes hyper-realistic geometry and appearance of complex real-world scenarios, paving the way for analyzing and bridging the Sim2Real gap. Powered by Gaussian Splatting and MuJoCo, Discoverse enables massively parallel simulation of multiple sensor modalities and accurate physics, with inclusive supports for existing 3D assets, …

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🎵 Fight Simulator
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https://ohsees.bandcamp.com/track/fight-simulator
https://open.spotify.com/track/5RmW9EQW1MR8vHrBDFdjiF

A digital Rydberg simulation of dynamical quantum phase transitions in the Schwinger model
Domenico Pomarico, Federico Dell'Anna, Riccardo Cioli, Saverio Pascazio, Francesco V. Pepe, Paolo Facchi, Elisa Ercolessi
https://arxiv.org/abs/2507.20625

A digital Rydberg simulation of dynamical quantum phase transitions in the Schwinger model
We present the simulation of the quench dynamics of the Z3 Schwinger model, that describes an approximation of one-dimensional Quantum Electrodynamics, on a digital noisy Rydberg atom platform, aiming at the observation of multiple dynamical quantum phase transitions. In order to reach long-time dynamics, we exploit an enconding dictated by the symmetries, combined with a circuit compression procedure. We focus on a quench that evolves the Dirac vacuum by means of a Hamiltonian depending on a n…

Optimizing Tensor Network Partitioning using Simulated Annealing
Manuel Geiger, Qunsheng Huang, Christian B. Mendl
https://arxiv.org/abs/2507.20667 https://

Optimizing Tensor Network Partitioning using Simulated Annealing
Tensor networks have proven to be a valuable tool, for instance, in the classical simulation of (strongly correlated) quantum systems. As the size of the systems increases, contracting larger tensor networks becomes computationally demanding. In this work, we study distributed memory architectures intended for high-performance computing implementations to solve this task. Efficiently distributing the contraction task across multiple nodes is critical, as both computational and memory costs are …