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.

⚛️ quantum physics

A pedagogical derivation of the first-order effective Hamiltonian for the two-mode Jaynes-Cummings model

This paper provides a pedagogical, self-contained derivation of the first-order effective Hamiltonian for the two-mode Jaynes-Cummings model in the dispersive regime, demonstrating how a perturbative unitary transformation reveals an atom-induced beam-splitter interaction that is subsequently diagonalized via a geometric rotation to clarify the system's underlying dynamics.

Alejandro R. Urzúa2026-01-27

⚛️ quantum physics

Entropic Efficiency of Bayesian Inference Protocols

This paper defines entropic efficiency as the ratio of information gain to memory erasure cost to demonstrate that while sequential and parallel Bayesian inference paradigms achieve identical minimal costs when all correlations are exploited, the parallel approach outperforms the sequential one when hidden correlations remain unexploited.

Nathan Shettell, Alexia Auffèves2026-01-27

⚡ electrical engineering

Bayesian quantum sensing using graybox machine learning

This paper presents the first experimental demonstration of a graybox machine learning framework that combines physics-based models with data-driven corrections to significantly enhance the accuracy of Bayesian quantum sensing for static magnetic field estimation, outperforming purely analytical approaches while requiring fewer resources than fully deep-learning models.

Akram Youssry, Stefan Todd, Patrick Murton, Muhammad Junaid Arshad, Alberto Peruzzo, Cristian Bonato2026-01-27

⚛️ quantum physics

On the Impossibility of Simulation Security for Quantum Functional Encryption

This paper establishes the impossibility of achieving simulation-secure quantum functional encryption by demonstrating that classical impossibility results extend to the quantum regime, proving unconditional barriers for unbounded challenge messages and impossibility under weaker assumptions like pseudorandom quantum states or public-key encryption for bounded key scenarios.

Mohammed Barhoush, Arthur Mehta, Anne Müller, Louis Salvail2026-01-27

⚛️ quantum physics

Are Quantum Voting Protocols Practical?

This paper surveys the practicality of quantum voting protocols by outlining their foundational quantum principles, reviewing representative system designs and threat models, and evaluating implementation challenges to assess their viability for near-term small-scale elections.

Nitin Jha, Abhishek Parakh2026-01-27

⚛️ quantum physics

Quantum Phase Transitions in the Transverse-Field Ising Model: A Comparative Study of Exact, Variational, and Hardware-Based Approaches

This paper benchmarks the performance of exact diagonalization, variational quantum eigensolver simulations, and hardware execution on an IQM Garnet processor for a four-spin transverse-field Ising model, revealing that while shallow variational circuits reliably capture ground-state energies, noise significantly degrades the accuracy of magnetic order parameters and correlation functions, leading to a broadened critical crossover.

Rudraksh Sharma2026-01-27

⚛️ quantum physics

PropHunt: Automated Optimization of Quantum Syndrome Measurement Circuits

This paper introduces PropHunt, an automated tool that optimizes Quantum Syndrome Measurement circuits for CSS codes by prioritizing logical error rates over traditional metrics, thereby enabling the recovery of hand-designed circuits and facilitating the new Hook-ZNE error mitigation strategy.

Joshua Viszlai, Satvik Maurya, Swamit Tannu, Margaret Martonosi, Frederic T. Chong2026-01-27

⚛️ quantum physics

Generalized Aharonov-Bohm Effect

This paper employs the WKB method to generalize the Aharonov-Bohm effect for time-dependent magnetic fluxes, demonstrating that while circular paths in the quasistatic regime yield a phase shift determined by the time-averaged enclosed flux, non-circular paths and external fields introduce complex dependencies on flux history and path geometry, thereby clarifying the interplay between gauge potentials and induced electric fields.

Shan Gao2026-01-27

⚛️ quantum physics

From Joint to Single-System Psi-Onticity Without Preparation Independence

This paper demonstrates that the $\psi$ -onticity of individual quantum systems can be derived directly from the $\psi$ -onticity of composite product states and the tensor-product structure of quantum mechanics, thereby establishing the Pusey-Barrett-Rudolph theorem's conclusion without requiring the Preparation Independence Postulate.

Shan Gao2026-01-27

⚛️ quantum physics

Comment on "Aharonov-Bohm Phase is Locally Generated Like All Other Quantum Phases"

This paper refutes Marletto and Vedral's claim that the Aharonov-Bohm phase is locally generated by entanglement, demonstrating instead that their model contains mathematical errors regarding gauge dependence and interaction signs, thereby reaffirming the conventional view that the phase arises from the vector potential rather than entanglement.

Shan Gao2026-01-27

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