9350 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 rigorously establishes the connections between Majorana bound state separation, robust energy degeneracy, and protected non-abelian braiding in interacting systems by defining Majorana bound states from many-body ground states and demonstrating how their locality constrains environmental coupling to quantify protection.
This paper presents a variational quantum algorithm implemented on Qiskit to solve the one-dimensional diffusion problem with space-dependent diffusivity, demonstrating its ability to model hydroxide ion exchange in alkaline electrolyzer membranes and identifying that significant chemical instability arises only when the diffusivity ratio between membrane layers exceeds approximately 50.
This paper establishes a first-principles framework using thermal time-dependent density functional theory to calculate full quantum work statistics and dissipated-work moments in interacting many-body systems, demonstrating its predictive power in analyzing the Mott-to-band-insulator crossover within the Hubbard model.
This paper extends the infinite projected entangled-pair states (iPEPS) framework to fermionic systems by variationally optimizing -symmetric ansätze to successfully simulate and characterize the fractional Chern insulator phase, identifying a critical bond dimension for accuracy and introducing a compression scheme to efficiently compute the edge entanglement spectrum.
This paper proposes an experimentally viable framework for characterizing quantum synchronization in a driven van der Pol oscillator by utilizing homodyne tomography and the second-order correlation function to identify synchronization signatures and map the Arnold tongue without requiring full state reconstruction.
This paper demonstrates that a double-layer graphene architecture separated by an ultra-thin hexagonal boron nitride layer significantly reduces external inhomogeneity through mutual screening, enabling the observation of quantum Hall effects at record-low magnetic fields and highlighting the platform's potential for studying strongly correlated electronic phases.
The paper introduces QASM-Eval, the first comprehensive dataset and benchmark designed to train and evaluate large language models on OpenQASM-3's advanced hardware-facing features, such as classical feedback and pulse control, demonstrating that targeted fine-tuning significantly improves model performance in these critical NISQ-era programming tasks.
This paper applies quantum information theory to axion-photon and neutrino systems, demonstrating how their coupled dynamics generate entanglement, characterizing the resulting quantum correlations and speed limits, and establishing connections between axion phenomenology, neutrino oscillations, and fundamental quantum resources.
This paper presents a numerically robust implementation of an algorithm for generating Positive non-Completely Positive (PnCP) maps via non-Sum-of-Squares polynomials, demonstrating their theoretical uniqueness and superior ability to detect PPT entangled states compared to existing criteria.
This paper presents an algorithm that maps the identification of Clifford symmetries in both closed and open qudit systems to a graph automorphism problem by encoding Hamiltonian invariants into graph properties, enabling efficient symmetry detection and optimization across various physical models.