Active learning machine learns to create new quantum experiments

Alexey A. Melnikov; Hendrik Poulsen Nautrup; Mario Krenn; Vedran Dunjko; Markus Tiersch; Anton Zeilinger; Hans J. Briegel

doi:10.1073/pnas.1714936115

Active learning machine learns to create new quantum experiments

Alexey A. Melnikov (Corresponding author)
, Hendrik Poulsen Nautrup
, Mario Krenn
, Vedran Dunjko
, Markus Tiersch
, Anton Zeilinger (Corresponding author)
, Hans J. Briegel

Quantum Science

Publications: Contribution to journal › Article › Peer Reviewed

Original language	English
Pages (from-to)	1221-1226
Number of pages	6
Journal	Proceedings of the National Academy of Sciences of the United States of America (PNAS)
Volume	115
Issue number	6
DOIs	https://doi.org/10.1073/pnas.1714936115
Publication status	Published - 6 Feb 2018

Funding

A.A.M., H.P.N., V.D., M.T., and H.J.B. were supported by the Austrian Science Fund (FWF) through Grants SFB FoQuS F4012 and DK-ALM: W1259-N27, by the Templeton World Charity Foundation through Grant TWCF0078/AB46, and by the Ministerium fur Wissenschaft, Forschung, und Kunst Baden-Wurttemberg (AZ: 33-7533.-30-10/41/1). M.K. and A.Z. were supported by the Austrian Academy of Sciences (OAW), by the European Research Council (Simulators and Interfaces with Quantum Systems Grant 600645 EU-FP7-ICT), and the Austrian Science Fund (FWF) with SFB FoQuS F40 and FWF project CoQuS W1210-N16.

Austrian Fields of Science 2012

103025 Quantum mechanics
102001 Artificial intelligence
102019 Machine learning

Keywords

machine learning
quantum experiments
quantum entanglement
artificial intelligence
quantum machine learning
ORBITAL ANGULAR-MOMENTUM
PROJECTIVE SIMULATION
NEURAL-NETWORKS
ENTANGLEMENT
PHOTONS
SYSTEM
Quantum entanglement
Quantum experiments
Quantum machine learning
Machine learning
Artificial intelligence

Access to Document

10.1073/pnas.1714936115

Cite this

@article{e1303bade701448ea0180bd2bf5c2f9f,

title = "Active learning machine learns to create new quantum experiments",

keywords = "machine learning, quantum experiments, quantum entanglement, artificial intelligence, quantum machine learning, ORBITAL ANGULAR-MOMENTUM, PROJECTIVE SIMULATION, NEURAL-NETWORKS, ENTANGLEMENT, PHOTONS, SYSTEM, Quantum entanglement, Quantum experiments, Quantum machine learning, Machine learning, Artificial intelligence",

author = "Melnikov, \{Alexey A.\} and Nautrup, \{Hendrik Poulsen\} and Mario Krenn and Vedran Dunjko and Markus Tiersch and Anton Zeilinger and Briegel, \{Hans J.\}",

note = "Funding Information: ACKNOWLEDGMENTS. A.A.M., H.P.N., V.D., M.T., and H.J.B. were supported by the Austrian Science Fund (FWF) through Grants SFB FoQuS F4012 and DK-ALM: W1259-N27, by the Templeton World Charity Foundation through Grant TWCF0078/AB46, and by the Ministerium f{\"u}r Wissenschaft, Forschung, und Kunst Baden-W{\"u}rttemberg (AZ: 33-7533.-30-10/41/1). M.K. and A.Z. were supported by the Austrian Academy of Sciences ({\"O}AW), by the European Research Council (Simulators and Interfaces with Quantum Systems Grant 600645 EU-FP7-ICT), and the Austrian Science Fund (FWF) with SFB FoQuS F40 and FWF project CoQuS W1210-N16.",

year = "2018",

month = feb,

day = "6",

doi = "10.1073/pnas.1714936115",

language = "English",

volume = "115",

pages = "1221--1226",

journal = "Proceedings of the National Academy of Sciences of the United States of America (PNAS)",

issn = "0027-8424",

publisher = "NAS",

number = "6",

}

TY - JOUR

T1 - Active learning machine learns to create new quantum experiments

AU - Melnikov, Alexey A.

AU - Nautrup, Hendrik Poulsen

AU - Krenn, Mario

AU - Dunjko, Vedran

AU - Tiersch, Markus

AU - Zeilinger, Anton

AU - Briegel, Hans J.

N1 - Funding Information: ACKNOWLEDGMENTS. A.A.M., H.P.N., V.D., M.T., and H.J.B. were supported by the Austrian Science Fund (FWF) through Grants SFB FoQuS F4012 and DK-ALM: W1259-N27, by the Templeton World Charity Foundation through Grant TWCF0078/AB46, and by the Ministerium für Wissenschaft, Forschung, und Kunst Baden-Württemberg (AZ: 33-7533.-30-10/41/1). M.K. and A.Z. were supported by the Austrian Academy of Sciences (ÖAW), by the European Research Council (Simulators and Interfaces with Quantum Systems Grant 600645 EU-FP7-ICT), and the Austrian Science Fund (FWF) with SFB FoQuS F40 and FWF project CoQuS W1210-N16.

PY - 2018/2/6

Y1 - 2018/2/6

KW - machine learning

KW - quantum experiments

KW - quantum entanglement

KW - artificial intelligence

KW - quantum machine learning

KW - ORBITAL ANGULAR-MOMENTUM

KW - PROJECTIVE SIMULATION

KW - NEURAL-NETWORKS

KW - ENTANGLEMENT

KW - PHOTONS

KW - SYSTEM

KW - Quantum entanglement

KW - Quantum experiments

KW - Quantum machine learning

KW - Machine learning

KW - Artificial intelligence

UR - https://arxiv.org/abs/1706.00868

UR - https://www.scopus.com/pages/publications/85041494062

U2 - 10.1073/pnas.1714936115

DO - 10.1073/pnas.1714936115

M3 - Article

SN - 0027-8424

VL - 115

SP - 1221

EP - 1226

JO - Proceedings of the National Academy of Sciences of the United States of America (PNAS)

JF - Proceedings of the National Academy of Sciences of the United States of America (PNAS)

IS - 6

ER -

Active learning machine learns to create new quantum experiments

Funding

Austrian Fields of Science 2012

Keywords

Access to Document

Other files and links

Fingerprint

SIQS: Simulators and Interfaces with Quantum Systems

FoQuS III - P07: Quantum entanglement in higher-dimensional Hilbert spaces: foundations and applications

CoQuS: Complex Quantum Systems

Cite this

Active learning machine learns to create new quantum experiments

Funding

Austrian Fields of Science 2012

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SIQS: Simulators and Interfaces with Quantum Systems

FoQuS III - P07: Quantum entanglement in higher-dimensional Hilbert spaces: foundations and applications

CoQuS: Complex Quantum Systems

Cite this