quant-ph papers | Gist.Science

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.

⚛️ phenomenology

Area Scaling of Dynamical Degrees of Freedom in Regularised Scalar Field Theory

Using symplectic model order reduction, this paper demonstrates that the minimal number of canonical degrees of freedom required to describe the Hamiltonian evolution of a regularised scalar field scales with the area of the region rather than its volume, a phenomenon driven by the count of distinct normal-mode frequencies and observed in both flat and curved spacetimes as well as weakly interacting theories.

Oliver Friedrich, Kristina Giesel, Varun Kushwaha2026-04-10

🔬 atomic physics

Robustness of Kardar-Parisi-Zhang-like transport in long-range interacting quantum spin chains

Using state-of-the-art tensor network methods, this study demonstrates that long-range interacting quantum spin chains exhibit robust, long-lived Kardar-Parisi-Zhang (KPZ) superdiffusive spin transport despite lacking integrability, a phenomenon attributed to their proximity to the integrable Inozemtsev family and observable in various experimental platforms like Rydberg atom arrays.

Sajant Anand, Jack Kemp, Julia Wei, Christopher David White, Michael P. Zaletel, Norman Y. Yao2026-04-10

⚛️ quantum physics

When is randomization advantageous in quantum simulation?

This paper demonstrates that while randomized quantum simulation methods can significantly reduce gate counts for Hamiltonians with many terms and inhomogeneous coefficients, their advantage is limited to moderate-precision regimes ( $\varepsilon \sim 10^{-3}$ ), beyond which deterministic approaches become more efficient, especially for realistic systems with additional structural properties.

Francesco Paganelli, Michele Grossi, Andrea Giachero, Thomas E. O'Brien, Oriel Kiss2026-04-10

🔬 atomic physics

Operational criteria for quantum advantage in latency-constrained nonlocal games

This paper establishes a comprehensive framework for quantifying quantum advantage in latency-constrained distributed decision-making by incorporating realistic hardware constraints like finite operation times and entanglement rates, and proposes a time-multiplexed trapped-atom network architecture capable of meeting these stringent operational criteria for applications such as financial markets and power grids.

Changhao Li, Seigo Kikura, Akihisa Goban, Hayata Yamasaki, Shinichi Sunami2026-04-10

⚛️ quantum physics

Quantum Simulation of Collective Neutrino Oscillations using Dicke States

This paper proposes a new class of qubit-efficient quantum algorithms based on Dicke states and the $su(2)$ spin algebra to simulate collective neutrino oscillations in dense gases, demonstrating their superior performance on both classical and quantum hardware by fully exploiting the system's symmetries.

Katarina Bleau, Nikolina Ilic, Joachim Kopp, Ushak Rahaman, Xin Yue Yu2026-04-10

🔬 optics

Hybrid-2D Excitonic Metasurfaces for Complex Amplitude Modulation

This paper demonstrates a hybrid-2D excitonic metasurface platform using gate-tunable monolayer WS2 and inverse design to achieve independent, full-range control of both amplitude and phase in the visible spectrum, enabling reconfigurable wavefront shaping for applications like beam steering.

Tom Hoekstra, Mark L. Brongersma, Jorik van de Groep2026-04-10

⚛️ quantum physics

Critical Entanglement Dynamics at Dynamical Quantum Phase Transitions

This paper demonstrates that momentum-space entanglement entropy, when evaluated in the post-quench eigenbasis, serves as a robust, time-independent diagnostic for dynamical quantum phase transitions by exhibiting a maximal value of $\ln 2$ at critical times, whereas alternative bipartitions yield qualitatively different, time-dependent behaviors.

Kaiyuan Cao, Mingzhi Li, Xiang-Ping Jiang, Shu Chen, Jian Wang2026-04-10

⚛️ quantum physics

Quantum Simulation of Hyperbolic Equations and the Nonexistence of a Dirac Path Measure

This paper unifies two distinct perspectives to demonstrate that the absence of a well-defined probability measure for the Dirac equation in Minkowski space stems from a fundamental mathematical obstruction arising from both the distributional nature of its propagator and the indefinite signature of the metric, thereby precluding a classical stochastic path integral representation.

Sumita Datta2026-04-10

⚛️ quantum physics

Non-variational supervised quantum kernel methods: a review

This review provides a comprehensive analysis of non-variational supervised quantum kernel methods, examining their theoretical foundations, estimation techniques, and challenges while delineating the specific regimes and obstacles relevant to achieving genuine quantum advantage in machine learning.

John Tanner, Chon-Fai Kam, Jingbo Wang2026-04-10

⚛️ quantum physics

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning

This paper presents a Double Deep-Q Network (DDQN) framework that automates the design of Variational Imaginary Time Evolution (VITE) circuits, successfully discovering non-intuitive structures with significantly reduced gate counts and depth compared to standard ansatz for solving Max-Cut and molecular hydrogen problems on NISQ devices.

Ryo Suzuki, Shohei Watabe2026-04-10

← Previous Next →