9427 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.
This paper demonstrates that a localized movable scatterer in a whispering-gallery-mode resonator can autonomously generate chiral rotation under reciprocal driving by converting photon backscattering into angular recoil, which creates negative angular friction that destabilizes the non-rotating state and selects a steady rotation direction.
This paper establishes a two-parameter regime map based on the number of molecules () and excitation number () to delineate the validity of mean-field and single-excitation approximations in collective light-matter dynamics, revealing how excitation density governs the transition from linear harmonic to nonlinear anharmonic Rabi oscillations.
This paper demonstrates the feasibility of hybrid quantum-classical machine learning for multi-output time-series forecasting at utility scale by evaluating two frameworks, Kernelized Quantum Reservoir Computing and Projected Quantum Kernel Gaussian Processes, on a 103-household smart meter dataset using the IBM Marrakesh quantum processor, where both models achieved significant error reductions compared to classical baselines on simulators and maintained competitive performance on NISQ hardware.
This paper investigates a generalized WKB ansatz for the quantum propagator by introducing an additive exponent as a measure of quantumness, analyzing its role through the Hamilton-Jacobi equation, and exploring its application to various systems, field theories, and Hamiltonian-constrained dynamics.
This paper demonstrates that tetrapartite entanglement in a four-qubit Dicke state exhibits a non-monotonic evolution under the Unruh effect, initially decreasing but subsequently increasing toward a finite value as acceleration grows, thereby challenging the conventional view of monotonic degradation and highlighting the potential of Dicke states as robust resources for relativistic quantum information processing.
This paper investigates the thermodynamic performance of a quantum Otto cycle using a -deformed modified Pöschl-Teller potential as the working substance, demonstrating that the deformation parameter and potential parameter can be tuned to optimize either heat engine efficiency or refrigerator performance.
This paper proposes a process-theoretic ontology for electrodynamics in which relativistic particle and field structures, including the Dirac and Maxwell equations, emerge as stable collective modes of finite-velocity persistent stochastic processes, reinterpreting fundamental properties like mass and charge as persistence and coupling scales rather than intrinsic attributes.
This paper derives performance bounds for Shor-style fault-tolerant quantum error correction schemes under depolarizing noise by accounting for circuit-level imperfections in gates and measurements, thereby quantifying the fundamental limitations caused by decoding and residual errors.
This paper proposes a code-agnostic hybrid CV-DV protocol using a single qubit ancilla and controlled-Fourier gates to suppress physical-level bosonic noise from linear to quadratic scaling without active error correction or destructive measurements, while maintaining high success probabilities and extending resilience to composite noise via qutrit ancillas.
This paper formulates a framework for algebraic tomography of finite-dimensional non-Hermitian Floquet systems that reconstructs spectral data from observable trace sequences using characteristic polynomial constraints and resolvent methods, while clarifying identifiability limits and demonstrating applications in driven qutrits and SSH chains.