⚛️ Category

quant-ph

9050 papers

Quantum physics explores the strange and often counterintuitive rules that govern the universe at its smallest scales. This field investigates how particles like electrons and photons behave in ways that defy our everyday intuition, forming the backbone of modern technologies from lasers to future quantum computers. While the mathematics can be daunting, the core ideas promise to revolutionize how we understand reality and process information.

At Gist.Science, we make these complex discoveries accessible to everyone. We systematically process every new preprint published in the Quant-Ph category on arXiv, transforming dense academic papers into clear, plain-language explanations alongside detailed technical summaries. Whether you are a seasoned researcher or a curious reader, our goal is to bridge the gap between cutting-edge theory and human understanding.

Below are the latest papers in quantum physics, distilled to help you grasp the newest breakthroughs without getting lost in the jargon.

⚛️ quantum physics

Malleability of transformations on the ciphertext in noisy Quantum public key encryption

This paper characterizes a noisy variant of the Malavolta-Walter Quantum public key encryption protocol by employing malleability assumptions and an adaptation of the Gentle Measurement Lemma to establish upper bounds on trace distance, thereby generalizing the negligibility function and security thresholds to noisy settings while exploring potential connections to game-theoretic approaches.

Pete Rigas2026-07-30
⚛️ quantum physics

Exact Finite-Dimensional Evaluation of Homodyne Quantum Trajectories for Single-Quadrature Hamiltonian

This paper presents an exact, finite-dimensional method for simulating homodyne quantum trajectories of single-quadrature polynomial Hamiltonian systems with Gaussian initial states, achieving computational efficiency independent of Hilbert-space dimension by deriving closed stochastic equations for arbitrary quadrature moments without requiring truncation or approximations.

Jacob Emerson2026-07-30
⚛️ lattice

Neural quantum states for non-Abelian lattice gauge theories with dynamical fermions

This paper presents a sign-problem-free variational Monte Carlo framework using neural quantum states and gauge-covariant Gaussian fermionic corrections to determine the ground state of continuous SU(2) lattice gauge theories coupled to dynamical staggered fermions, successfully validating the method against perturbation theory and mapping the system's phase diagram.

Gabriel Rouxinol, Julian Bender, Michele Grossi, Patrick Emonts, Jad C. Halimeh2026-07-30
⚛️ lattice

Quantum Phase Diagram of the 2+12+1D Untruncated SU(2)(2) Lattice Gauge Theory with Dynamical Fermions

Using a continuous-group variational Monte Carlo approach without truncation, this study maps the ground-state phase diagram of 2+12+1D SU(2)(2) lattice gauge theory with dynamical fermions, identifying a magnetic-flux transition and a gauge-matter delocalization crossover that reveal the emergence of coherent gauge-assisted matter dynamics.

Gabriel Rouxinol, Julian Bender, Patrick Emonts, Michele Grossi, Jad C. Halimeh2026-07-30
⚛️ quantum physics

Contextual advantage implies limited distinguishability in any physical theory

This paper establishes a universal trade-off in generalized probabilistic theories demonstrating that any set of states capable of providing a nonclassical advantage via generalized contextuality must necessarily satisfy strict upper bounds on their distinguishability, thereby proving that perfect discrimination is not required to rule out contextual advantages.

Roberto D. Baldijão, Felipe A. Barretto, Jarosł{}aw K. Korbicz2026-07-30
⚛️ quantum physics

Optimal Interaction Free Localization with Multipath Interferometers

This paper proposes and proves the optimality of a novel one-shot quantum protocol that uses a dd-path interferometer to simultaneously localize multiple absorbing objects without photon absorption, while further demonstrating through quantum-comb formalism that adaptive multi-pass strategies can surpass these one-shot limits to achieve loss-resilient quantum imaging.

Anubhav Chaturvedi, Jorge Escandón-Monardes, Esteban S. Gómez, Gustavo Lima, Stephen P. Walborn2026-07-30
⚛️ quantum physics

Quantum Optical Reinforcement Learning via Spectrum-Resolved Hong-Ou-Mandel Interference

This paper introduces a spectrum-resolved Hong-Ou-Mandel (SR-HOM) optical architecture that leverages photon spectral degrees of freedom for continuous-action reinforcement learning, demonstrating superior sample efficiency and performance over neural network baselines while successfully restoring high fidelities in drifted quantum gates.

Shaojun Wu, Jiahua Xu, Shan Jin, Zhen Yang, Yifang Xu, Chenglong You, Guangwei Deng, Luyan Sun, Chang-Ling Zou, Xiaoting (…)2026-07-30