Quantum Physics · Physics & Astronomy
Quantum Physics
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3,630 papers, from 4 September 2026 to 5 November 2026: 3,630 arXiv preprints.
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Newest papers, page 182
Adaptive Entangled Game Modules in Artificial General Intelligence
We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI)…Quantum Query Algorithms for the Constructive Diagonal Ramsey Theorem
The constructive diagonal Ramsey problem asks, given adjacency-oracle access to an $N$-vertex graph, for a clique or independent set of the order guaranteed by Ramsey's theorem.Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference
Reinforcement learning with verifiable rewards enables large language models to think slowly, but the same training can induce policy collapse: probability concentrates onto a few successful…Hierarchical Fourier Approximation for Variational Quantum Distribution Learning
We study variational quantum distribution learning through a hierarchy of Walsh--Fourier approximations on the Boolean cube.Qlippy: A Retrieval-Augmented GenAI Assistant for Reproducible Quantum Workflows and Experiment Tracking
Quantum software development is iterative and error-prone.Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
As quantum hardware scales to larger devices, the classical software layers that interface with it must evolve in step.AxQM: A Textbook-Scale Benchmark for Formal Proof Synthesis in a Library of Finite-Dimensional Quantum Mechanics
Formalizing mathematics in a proof assistant, where a machine checks every definition, statement and proof, has set a new standard of rigor.Quantum lower bounds for convex optimization and real matrix-vector query problems
We (the author and the AI systems that did the heavy lifting) show that the quantum query complexity of minimizing a convex function over a convex subset of $\mathbb{R}^n$ with evaluation and…Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access
Quantum Machine Learning (QML) has shown rapid advances by utilizing quantum computing for machine learning tasks.Tight Lower Bounds for State Tomography with Limited Entanglement
We study state tomography when each measurement acts on at most $k$ fresh copies and no quantum memory is retained between blocks.