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Titel:

Data compression for quantum machine learning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Dilip, Rohit; Liu, Yu-Jie; Smith, Adam; Pollmann, Frank
Abstract:
The advent of noisy-intermediate scale quantum computers has introduced the exciting possibility of achieving quantum speedups in machine learning tasks. These devices, however, are composed of a small number of qubits and can faithfully run only short circuits. This puts many proposed approaches for quantum machine learning beyond currently available devices. We address the problem of compressing classical data into efficient representations on quantum devices. Our proposed methods allow both t...     »
Zeitschriftentitel:
Physical Review Research 2022-10
Jahr:
2022
Band / Volume:
4
Heft / Issue:
4
Volltext / DOI:
doi:10.1103/physrevresearch.4.043007
Verlag / Institution:
American Physical Society (APS)
E-ISSN:
2643-1564
Publikationsdatum:
04.10.2022
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