⚛️ 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

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis

This paper establishes the practical utility of quantum topological data analysis by reframing it as a feature-extraction method that utilizes low-order spectral moments of the combinatorial Laplacian to improve predictive performance in time-series applications, supported by a novel moment-based quantum algorithm and experimental validation on Barium-based quantum hardware.

Jason Iaconis, Sayonee Ray, Samwel Sekwao, Claudio Girotto, Martin Roetteler2026-07-30
💻 computer science

Hoare meets Heisenberg: A Lightweight Logic for Quantum Programs

This paper presents a lightweight Hoare-like logic derived from Gottesman's Heisenberg representation for efficiently verifying properties of Clifford circuits and extends it to universal quantum computing by incorporating TT-gates and magic states, enabling applications such as qubit disposal certification, separability checks, and establishing lower bounds on TT-gate complexity.

Aarthi Sundaram, Robert Rand, Kartik Singhal, Youngchan Cho, Brad Lackey2026-07-29
🔬 applied physics

Semiconductor Room-Temperature Maser

This paper reports the first demonstration of a room-temperature semiconductor maser based on silicon vacancies in 4H-silicon carbide, which utilizes active feedback to achieve continuous-wave operation, high-gain amplification, optically pumped cooling, and ultra-sensitive magnetometry, paving the way for compact, electrically driven maser diodes.

Andreas Gottscholl, Maximilian Wagenhöfer, Valentin Baianov, Emilian Eisermann, Vladimir Dyakonov, Andreas Sperlich2026-07-29
⚛️ quantum physics

Automorphism-Assisted QAOA: A Classical-Estimator Speedup for QAOA Simulation on Graphs with Non-Trivial Symmetry

This paper introduces Automorphism-Assisted QAOA (AA-QAOA), a classical simulation technique that accelerates QAOA statevector estimation on graphs with non-trivial symmetry by replacing the full cost Hamiltonian with an orbit-reduced observable, thereby significantly reducing aggregation time without altering the optimization landscape or approximation ratio.

Vaibhav. N Prakash2026-07-29
⚛️ quantum physics

One for All: Universal Quantum Conic Programming Framework for Hard-Constrained Combinatorial Optimization Problems

This paper introduces a unified quantum-classical framework that generalizes Quantum Conic Programming to solve arbitrary hard-constrained combinatorial optimization problems by encoding feasibility into a single constraint, thereby enabling efficient parameter optimization via a generalized eigenvalue problem while avoiding barren plateaus and requiring no problem-specific Hamiltonians or oracles.

Lennart Binkowski, Tobias J. Osborne, Marvin Schwiering, René Schwonnek, Timo Ziegler2026-07-29
⚛️ quantum physics

End-to-End Quantum Algorithms for the Jones Polynomial

This paper presents and experimentally validates an end-to-end pipeline for approximating the Jones polynomial on noisy quantum hardware using error mitigation and tailored benchmarks, while simultaneously developing state-of-the-art classical tensor-network algorithms to precisely estimate the resources required for achieving near-term quantum advantage in knot theory.

Tuomas Laakkonen, Enrico Rinaldi, Chris N. Self, Eli Chertkov, Matthew DeCross, David Hayes, Brian Neyenhuis, Marcello B (…)2026-07-29