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Cited by 210

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Entanglement-Based Machine Learning on a Quantum Computer

Open access
Cai, X.-D., Wu, D., Su, Z.-E., Chen, M.-C., Wang, X.-L., Li, Li, Liu, N.-L., Lu, C.-Y., Pan, J.-W.·2015·Physical Review Letters
DOI 10.1103/physrevlett.114.110504
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Abstract

Machine learning, a branch of artificial intelligence, learns from previous experience to optimize performance, which is ubiquitous in various fields such as computer sciences, financial analysis, robotics, and bioinformatics. A challenge is that machine learning with the rapidly growing "big data" could become intractable for classical computers. Recently, quantum machine learning algorithms [Lloyd, Mohseni, and Rebentrost, arXiv.1307.0411] were proposed which could offer an exponential speedup over classical algorithms. Here, we report the first experimental entanglement-based classification of two-, four-, and eight-dimensional vectors to different clusters using a small-scale photonic quantum computer, which are then used to implement supervised and unsupervised machine learning. The results demonstrate the working principle of using quantum computers to manipulate and classify high-dimensional vectors, the core mathematical routine in machine learning. The method can, in principle, be scaled to larger numbers of qubits, and may provide a new route to accelerate machine learning.

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Metadata

Authors
Cai, X.-D., Wu, D., Su, Z.-E., Chen, M.-C., Wang, X.-L., Li, L., Liu, N.-L., Lu, C.-Y., & Pan, J.-W.
Venue
Physical Review Letters
Publisher
American Physical Society (APS)
Published
2015-03-19
Volume
114
Issue
11
Pages
110504-110504
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
DOI
10.1103/physrevlett.114.110504
OpenAlex
W2069563009
Cited by
210
References
22
FWCI
16.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Entanglement-Based Machine Learning on a Quantum Computer. https://app.cochat.ai/papers/10.1103/physrevlett.114.110504
The paper
Cai, X.-D., Wu, D., Su, Z.-E., Chen, M.-C., Wang, X.-L., Li, L., Liu, N.-L., Lu, C.-Y., & Pan, J.-W. (2015). Entanglement-Based Machine Learning on a Quantum Computer. Physical Review Letters. https://doi.org/10.1103/physrevlett.114.110504

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.