Trapped-Ion Quantum Computing

19,132 papers

Trapped-Ion Quantum Computing Research Context

This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.

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Showing 8233-8244 of 19,132

Layering and subpool exploration for adaptive Variational Quantum Eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise

Christopher K. Long, Kieran Dalton, Crispin H. W. Barnes, David R. M. Arvidsson-Shukur, Normann Mertig

2023 arXiv arXiv preprint

Learning Arbitrary Complex Matrices by Interlacing Amplitude and Phase Masks with Fixed Unitary Operations

Matthew Markowitz, Kevin Zelaya, Mohammad-Ali Miri

2023 arXiv arXiv preprint

Learning finitely correlated states: stability of the spectral reconstruction

Marco Fanizza, Niklas Galke, Josep Lumbreras, Cambyse Rouzé, Andreas Winter

2023 arXiv arXiv preprint

Learning Informative Latent Representation for Quantum State Tomography

Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong

2023 arXiv arXiv preprint

Learning Quantum Processes with Quantum Statistical Queries

Chirag Wadhwa, Mina Doosti

2023 arXiv arXiv preprint

Learning quantum properties from short-range correlations using multi-task networks

Ya-Dong Wu, Yan Zhu, Yuexuan Wang, Giulio Chiribella

2023 arXiv arXiv preprint

Learning quantum states and unitaries of bounded gate complexity

Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro

2023 arXiv arXiv preprint

Learning the eigenstructure of quantum dynamics using classical shadows

Atithi Acharya, Siddhartha Saha, Shagesh Sridharan, Yanis Bahroun, Anirvan M. Sengupta

2023 arXiv arXiv preprint

Learning the tensor network model of a quantum state using a few single-qubit measurements

Sergei S. Kuzmin, Varvara I. Mikhailova, Ivan V. Dyakonov, Stanislav S. Straupe

2023 arXiv arXiv preprint

Learning unitaries with quantum statistical queries

Armando Angrisani

2023 arXiv arXiv preprint

Learning, Optimizing, and Simulating Fermions with Quantum Computers

Andrew Zhao

2023 arXiv arXiv preprint

Let Quantum Neural Networks Choose Their Own Frequencies

Ben Jaderberg, Antonio A. Gentile, Youssef Achari Berrada, Elvira Shishenina, Vincent E. Elfving

2023 arXiv arXiv preprint
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