⚛️ 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

Perfect Discrimination of Non-Orthogonal Quantum States via Adaptive Post-Measurement Queries

This paper demonstrates that pairwise non-orthogonal quantum states, which are normally impossible to perfectly distinguish, can be perfectly discriminated if the sender provides a single bit of classical information in response to a receiver's query that depends on the measurement outcome, a process reducible to a standard minimum-error discrimination problem for an auxiliary ensemble.

Hanwool Lee, Teiko Heinosaari2026-08-04
⚛️ quantum physics

Hybrid Quantum Neural Networks: Theory, Implementations, and Applications

This paper provides a comprehensive review of hybrid quantum neural networks, synthesizing their theoretical foundations, diverse architectures, and implementation challenges to offer a structured perspective on their current performance and future potential in bridging classical and quantum machine learning.

Léo Monbroussou, Maniraman Periyasamy, Viacheslav Kuzmin, Pavel Sekatski, Viktoria Patapovich, Asel Sagingalieva, Alexey (…)2026-08-04
⚛️ quantum physics

Quantum sequential parameter testing

This paper introduces a framework for sequential parameter testing in quantum mechanics that determines unknown continuous parameters within a prescribed tolerance by ruling out distant values, demonstrating that this approach offers significant resource efficiency over fixed-sample protocols for tasks like qubit phase and purity testing.

Simon Morelli, Ricard Ravell Rodríguez, John Calsamiglia, Ramón Muñoz-Tapia, Gael Sentís, Michalis Skotiniotis2026-08-04
⚛️ nuclear theory

Quantum Simulation of Nuclear Shell Model Using GCM-Based Methods on NISQ Devices

This paper demonstrates a robust and scalable approach for simulating low-lying nuclear eigenstates on noisy intermediate-scale quantum (NISQ) devices by employing a hybrid quantum-classical Generator Coordinate Method (QuGCM) enhanced with an adaptive selection strategy (ADAPT-GCIM) and optimized Gray code encoding, achieving accurate energy spectra for systems like the deuteron, 6^6Li, and 38^{38}Ar that align with classical results despite hardware limitations.

Durgesh Pandey, Ashutosh Singh, Ankit Kumar Das, P. Arumugam2026-08-04
⚛️ quantum physics

The Sample Complexity of Fidelity Estimation to a Known Rank-rr Reference State Is Θ~(r2/ε2)\widetilde{\Theta}(r^2/\varepsilon^2)

This paper resolves the open problem of the sample complexity for estimating fidelity between an unknown quantum state and a known rank-rr reference state by proving it is Θ~(r2/ε2)\widetilde{\Theta}(r^2/\varepsilon^2), thereby closing the gap between previous lower and upper bounds through novel techniques involving spectral moment matching and random permutation analysis.

Gye Jin Lee, Sunghyeon Jo2026-08-04