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Titel:

Efficient MPS representations and quantum circuits from the Fourier modes of classical image data

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Jobst, Bernhard; Shen, Kevin; Riofrío, Carlos A.; Shishenina, Elvira; Pollmann, Frank
Abstract:
Machine learning tasks are an exciting application for quantum computers, as it has been proven that they can learn certain problems more efficiently than classical ones. Applying quantum machine learning algorithms to classical data can have many important applications, as qubits allow for dealing with exponentially more data than classical bits. However, preparing the corresponding quantum states usually requires an exponential number of gates and therefore may ruin any potential quantum speed...     »
Zeitschriftentitel:
Quantum 2024-12
Jahr:
2024
Band / Volume:
8
Seitenangaben Beitrag:
1544
Volltext / DOI:
doi:10.22331/q-2024-12-03-1544
Verlag / Institution:
Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften
E-ISSN:
2521-327X
Publikationsdatum:
03.12.2024
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