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From the 1 of 10 linked papers with an AI index.

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10 papers

quant-ph2026

Proof of the hiding conjecture for Gaussian boson sampling with an arbitrary number of squeezed input modes

Laura Shou, Alexey V. Gorshkov, Victor Galitski +1

Gaussian boson sampling (GBS) is a sampling task proposed to demonstrate quantum advantage. We consider Gaussian boson sampling on optical modes, with equally squeezed inpu…

quant-ph2026

Fock-state preparation based on amplitude amplification in cavity QED

Sharoon Austin, Zhi-Yuan Wei, Kartik Srinivasan +1

The paper introduces amplitude‑amplification techniques for coherent control in cavity QED, enabling faster single‑photon generation and efficient preparation of Fock and NOON stat…

quant-ph2026

Differentially private quantum sensor networks

Daniel J. Spencer, Kaiyan Shi, Emil T. Khabiboulline +2

Quantum sensing is a promising technology capable of demonstrating clear advantage over comparable classical techniques for precise measurement. One application of quantum sensing…

quant-ph2026

An efficient Pauli decomposition algorithm for structured matrices

Daniel J. Spencer, Kishor Bharti, Alexey V. Gorshkov

Decomposing classical matrices into linear combinations of Pauli strings is a major bottleneck for end-to-end implementations of near-term quantum algorithms. In this work, we cons…

quant-ph2026

Multiparameter function estimation for general Hamiltonians

Erfan Abbasgholinejad, Sean R. Muleady, Jacob Bringewatt +2

Estimation of physical parameters encoded in a Hamiltonian is a central task in quantum sensing and learning. While the ultimate precision limit for estimating a single parameter c…

quant-ph2026

Precision Limits of Multiparameter Markovian-Noise Metrology

Anthony J. Brady, Yu-Xin Wang, Luis Pedro García-Pintos +1

Measuring stochastic signals ("noise metrology") constitutes a central task in quantum sensing and the characterization of open quantum systems. Here we establish ultimate precisio…