quantum-enhanced shadows: scalable quantum-to-classical converters

Project Information

q-shadows

Grant agreement ID: 101117138

DOI

10.3030/101117138

EC signature date 20 November 2023

Start date 1 July 2024

End date 30 June 2029

Funded under

• European Research Council (ERC)

Total cost

€ 1 500 000,00

EU contribution

€ 1 500 000,00

Coordinated by

UNIVERSITAT LINZ
Austria

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Publications

Peer reviewed articles (4)

In the Shadow of the Hadamard Test: Using the Garbage State for Good and Further Modifications

Author(s): Paul K. Faehrmann, Jens Eisert, Richard Kueng
Published in: Physical Review Letters, Issue 135, 2025, ISSN 0031-9007
Publisher: American Physical Society (APS)
DOI: 10.1103/CQJW-KL8S

Learning properties of quantum states without the IID assumption

Author(s): Omar Fawzi, Richard Kueng, Damian Markham, Aadil Oufkir
Published in: Nature Communications, Issue 15, 2024, ISSN 2041-1723
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41467-024-53765-6

Improved machine learning algorithm for predicting ground state properties

Author(s): Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
Published in: Nature Communications, Issue 15, 2024, ISSN 2041-1723
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41467-024-45014-7

Short-time simulation of quantum dynamics by Pauli measurements

Author(s): Paul K. Faehrmann, Jens Eisert, Mária Kieferová, Richard Kueng
Published in: Physical Review A, Issue 112, 2025, ISSN 2469-9926
Publisher: American Physical Society (APS)
DOI: 10.1103/6GGS-Y392

Conference proceedings (1)

One, Two, Three: One Empirical Evaluation of a Two-Copy Shadow Tomography Scheme with Triple Efficiency

Author(s): Viet T. Tran, Richard Kueng
Published in: 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
Publisher: IEEE
DOI: 10.1109/QCE65121.2025.00177