DC Field | Value | Language |
---|---|---|
dc.contributor.author | Blank, Carsten | ko |
dc.contributor.author | Park, Daniel K. | ko |
dc.contributor.author | Rhee, June-Koo Kevin | ko |
dc.contributor.author | Petruccione, Francesco | ko |
dc.date.accessioned | 2020-06-17T05:20:04Z | - |
dc.date.available | 2020-06-17T05:20:04Z | - |
dc.date.created | 2020-06-17 | - |
dc.date.created | 2020-06-17 | - |
dc.date.created | 2020-06-17 | - |
dc.date.created | 2020-06-17 | - |
dc.date.issued | 2020-05 | - |
dc.identifier.citation | NPJ QUANTUM INFORMATION, v.6, no.1, pp.41 | - |
dc.identifier.issn | 2056-6387 | - |
dc.identifier.uri | http://hdl.handle.net/10203/274703 | - |
dc.description.abstract | Kernel methods have a wide spectrum of applications in machine learning. Recently, a link between quantum computing and kernel theory has been formally established, opening up opportunities for quantum techniques to enhance various existing machine-learning methods. We present a distance-based quantum classifier whose kernel is based on the quantum state fidelity between training and test data. The quantum kernel can be tailored systematically with a quantum circuit to raise the kernel to an arbitrary power and to assign arbitrary weights to each training data. Given a specific input state, our protocol calculates the weighted power sum of fidelities of quantum data in quantum parallel via a swap-test circuit followed by two single-qubit measurements, requiring only a constant number of repetitions regardless of the number of data. We also show that our classifier is equivalent to measuring the expectation value of a Helstrom operator, from which the well-known optimal quantum state discrimination can be derived. We demonstrate the performance of our classifier via classical simulations with a realistic noise model and proof-of-principle experiments using the IBM quantum cloud platform. | - |
dc.language | English | - |
dc.publisher | NATURE PUBLISHING GROUP | - |
dc.title | Quantum classifier with tailored quantum kernel | - |
dc.type | Article | - |
dc.identifier.wosid | 000536095000002 | - |
dc.identifier.scopusid | 2-s2.0-85084805594 | - |
dc.type.rims | ART | - |
dc.citation.volume | 6 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 41 | - |
dc.citation.publicationname | NPJ QUANTUM INFORMATION | - |
dc.identifier.doi | 10.1038/s41534-020-0272-6 | - |
dc.contributor.localauthor | Rhee, June-Koo Kevin | - |
dc.contributor.nonIdAuthor | Blank, Carsten | - |
dc.contributor.nonIdAuthor | Park, Daniel K. | - |
dc.contributor.nonIdAuthor | Petruccione, Francesco | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
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