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From the 3 of 129 papers with an AI index.

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quant-ph2026

Machine Learning of Quantum Entanglement from Noisy Measurements

Artur Czerwinski, Maciej Wiśniewski, Paweł Moszczyński

In this work, we investigate the application of Machine Learning (ML) algorithms to the identification and quantitative characterization of quantum entanglement in polarization-ent…

quant-ph20263 cited

Impact of the local valley splitting on the coherence of conveyor-belt spin shuttling in Si/SiGe

Mats Volmer, Tom Struck, Jhih-Sian Tu +6

Silicon quantum chips offer a promising path toward scalable, fault-tolerant quantum computing, with the potential to host millions of qubits. However, scaling up dense quantum-dot…

quant-ph2026

Detecting Entanglement by State Preparation and Local Measurements

Jaemin Kim, Anindita Bera, Dariusz Chruściński +1

Entanglement witnesses (EWs) are a collection of observables that can characterize separable states and, experimentally, estimating EWs can verify entangled states. In this work, w…

quant-ph2026

Bosonic content of three-fermion highest-spin states

Jerzy Cioslowski, Krzysztof Strasburger, Denis K. Sunko

A rigorous characterization of the information content of any highest-spin three-fermion wave function is presented. It is based upon a formal decomposition of the wave function in…

quant-ph2026

Efficient simulation of low-entanglement bosonic Gaussian states in polynomial time

Tong Liu, Hui-Ke Jin, Tao Xiang +1

Bosonic Gaussian states are ubiquitous in quantum optics and condensed matter physics. While they are efficiently handled within the Gaussian formalism, sampling requires calculati…

quant-ph2026

Fiber-integrated Quantum Frequency Conversion for Long-distance Quantum Networking

Zhichuan Liao, Ao Shen, Lai Zhou +2

Signal photons emitted by quantum nodes typically fall outside the low-loss telecom window of optical fibers, leading to severe transmission losses. Quantum frequency conversion (Q…