Leistungen
Webpage and communication platforms. The project website will contain the main communication node for all partners in a password protected part and provide information for the public in an open access part.
Report on implementation of nonequilibrium quantum annealer that is built of superconducting Kerrnonlinear oscillators driven by a twophoton drive The report will cover progress in the implementation of these driven oscillators as well as their coupling into a network
Technical/scientific review meeting documents 1Draft agenda and presentations delivered during the review meeting.
training software v2Report on implementation of dataanalysis and training software that will cover the development of a Python code for the data analysis and generation of feedback signals that train the networks developed in the project
sweep of annealerThe report will cover experiments that sweep the developed nonequilibrium quantum annealer from a suitable initial state to a set target state It will discuss the progress in fidelity improvement and scalability aspects
Dissemination and Exploitation PlanPlan for the dissemination and exploitation of the project results.
network simulation v1Intermediate report on the numerical simulation of quantum neural networks that we build. These simulations can be done in a numerically exact fashion for small networks but will require the adaption of cutting edge quantum many-body simulations for larger networks.
Technical/scientific review meeting documents 2Draft agenda and presentations delivered during the review meeting
scalability strategy v2Report on scalability improvements for the next generation of quantum neural networks that covers our progress in developing novel concepts that require less circuit depth or less network connectivity while maintaining a useful expressive power
conferenceReport on the conference on Quantum Machine Learning that will be organized The program will feature external high profile speakers as well as project representatives The report will cover the presentations main discussion results
scalability strategy v1Intermediate report on scalability improvements for the next generation of quantum neural networks that covers our progress in developing novel concepts that require less circuit depth or less network connectivity while maintaining a useful expressive power.
network implementations v2Report on the implementation of two types of feed forward quantum neural networks The report will cover our progress in implementing neurons based on adiabatic ram processes for fixed frequency qubits and neurons that feature nonlinear activation functions realized via a measurement and feedback control loop We will also report on progress to connect these neurons into elementary networks
training of networksReport on the progress in training the feedforward quantum neural networks that are developed in the project in the experiments The report will cover the calibration of the networks and report on experiments that process a given input state through the network and compare it to target data for generating feedback signals
network training v1Intermediate report on training strategies and simulation of application to a classification problem. The report will cover integrations of our simulations into a network training processes and explorations of applications to simple machine learning problems, such as recognition of hand written digits in the MNIST data set.
training software v1Intermediate report on implementation of data-analysis and training software that will cover the development of a Python code for the data analysis and generation of feedback signals that train the networks developed in the project.
network implementation v1Intermediate report on the implementation of two types of feed forward quantum neural networks. The report will cover our progress in implementing neurons based on adiabatic ram processes for fixed frequency qubits and neurons that feature nonlinear activation functions realized via a measurement and feedback control loop. We will also report on progress to connect these neurons into elementary networks.
netwrok simulation v2Report on the numerical simulation of quantum neural networks that we build These simulations can be done in a numerically exact fashion for small networks but will require the adaption of cutting edge quantum manybody simulations for larger networks
annealer implementation v1Intermediate report on implementation of non-equilibrium quantum annealer that is built of superconducting Kerr-nonlinear oscillators driven by a two-photon drive. The report will cover progress in the implementation of these driven oscillators as well as their coupling into a network.
network training v2Report on training strategies and simulation of application to a classification problem The report will cover integrations of our simulations into a network training processes and explorations of applications to simple machine learning problems such as recognition of hand written digits in the MNIST data set
A data management plan that will be agreed among all partners.
Veröffentlichungen
Autoren:
Yan Chen, Yue Ban, Ran He, Jin-Ming Cui, Yun-Feng Huang, Chuan-Feng Li, Guang-Can Guo & Jorge Casanova
Veröffentlicht in:
npj Quantum Information, 2022, ISSN 2056-6387
Herausgeber:
Springer Nature
DOI:
10.1038/s41534-022-00669-2
Autoren:
Aneirin J. Baker, Gerhard B. P. Huber, Niklas J. Glaser, Federico Roy, Ivan Tsitsilin, Stefan Filipp, and Michael J. Hartmann
Veröffentlicht in:
Applied Physics Letters, 2022, ISSN 1077-3118
Herausgeber:
American Institut of Physics
DOI:
10.1063/5.0077443
Autoren:
Johannes Herrmann, Sergi Masot Llima, Ants Remm, Petr Zapletal, Nathan A. McMahon, Colin Scarato, Francois Swiadek, Christian Kraglund Andersen, Christoph Hellings, Sebastian Krinner, Nathan Lacroix, Stefania Lazar, Michael Kerschbaum, Dante Colao Zanuz, Graham J. Norris, Michael J. Hartmann, Andreas Wallraff, Christopher Eichler
Veröffentlicht in:
Nature Communications, 2022, ISSN 2041-1723
Herausgeber:
Nature Publishing Group
DOI:
10.1038/s41467-022-31679-5
Autoren:
Marek Pechal, Federico Roy, Samuel A. Wilkinson, Gian Salis, Max Werninghaus, Michael J. Hartmann, Stefan Filipp
Veröffentlicht in:
Physical Review Research, 2022, ISSN 2643-1564
Herausgeber:
American Physical Society
DOI:
10.1103/physrevresearch.4.033190
Autoren:
Mario F Gely, Gary A Steele
Veröffentlicht in:
New Journal of Physics, Ausgabe 22/1, 2020, Seite(n) 013025, ISSN 1367-2630
Herausgeber:
Institute of Physics Publishing
DOI:
10.1088/1367-2630/ab60f6
Autoren:
L. Cong, S. Felicetti, J. Casanova, L. Lamata, E. Solano, I. Arrazola
Veröffentlicht in:
Physical Review A, Ausgabe 101/3, 2020, ISSN 2469-9926
Herausgeber:
American Physical Society
DOI:
10.1103/physreva.101.032350
Autoren:
Marios Kounalakis, Yaroslav M. Blanter, Gary A. Steele
Veröffentlicht in:
Physical Review Research, Ausgabe 2/2, 2020, ISSN 2643-1564
Herausgeber:
American Physical Society
DOI:
10.1103/physrevresearch.2.023335
Autoren:
Samuel A. Wilkinson, Michael J. Hartmann
Veröffentlicht in:
Applied Physics Letters, Ausgabe 116/23, 2020, Seite(n) 230501, ISSN 0003-6951
Herausgeber:
American Institute of Physics
DOI:
10.1063/5.0008202
Autoren:
C. Munuera-Javaloy, I. Arrazola, E. Solano, J. Casanova
Veröffentlicht in:
Physical Review B, Ausgabe 101/10, 2020, ISSN 2469-9950
Herausgeber:
American Physical Society
DOI:
10.1103/physrevb.101.104411
Autoren:
Tasio Gonzalez-Raya, Joseph M. Lukens, Lucas C. Céleri, Mikel Sanz
Veröffentlicht in:
Materials, Ausgabe 13/4, 2020, Seite(n) 864, ISSN 1996-1944
Herausgeber:
MDPI Open Access Publishing
DOI:
10.3390/ma13040864
Autoren:
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Rami Barends, Sergio Boixo, Michael Broughton, Bob B. Buckley, David A. Buell, Brian Burkett, Nicholas Bushnell, Yu Chen, Zijun Chen, Ben Chiaro, Roberto Collins, William Courtney, Sean Demura, Andrew Dunsworth, Edward Farhi, Austin Fowler, Brooks Foxen, Craig Gidney, Marissa Giustina, Rob Graff, Steve Habegger, Matthew P. Harrig
Veröffentlicht in:
Nature ~Physics, 2020, ISSN 1745-2481
Herausgeber:
Springer Nature
DOI:
10.1038/s41567-020-01105-y
Autoren:
Tasio Gonzalez-Raya, Enrique Solano, Mikel Sanz
Veröffentlicht in:
Quantum, Ausgabe 4, 2020, Seite(n) 224, ISSN 2521-327X
Herausgeber:
Quantum
DOI:
10.22331/q-2020-01-20-224
Autoren:
I. Arrazola, M.B. Plenio, E. Solano, J. Casanova
Veröffentlicht in:
Physical Review Applied, Ausgabe 13/2, 2020, ISSN 2331-7019
Herausgeber:
American Physical Society
DOI:
10.1103/physrevapplied.13.024068
Autoren:
Tang-You Huang, Boris A. Malomed, Xi Chen
Veröffentlicht in:
Chaos, Ausgabe 30, 2020, Seite(n) 053131, ISSN 1054-1500
Herausgeber:
American Institute of Physics
DOI:
10.1063/5.0004309
Autoren:
Yongcheng Ding, José D. Martín-Guerrero, Mikel Sanz, Rafael Magdalena-Benedicto, Xi Chen, Enrique Solano
Veröffentlicht in:
Physical Review Letters, Ausgabe 124/14, 2020, ISSN 0031-9007
Herausgeber:
American Physical Society
DOI:
10.1103/physrevlett.124.140504
Autoren:
Zhenyu Wang, Jorge Casanova, Martin B. Plenio
Veröffentlicht in:
Symmetry, Ausgabe 12/5, 2020, Seite(n) 730, ISSN 2073-8994
Herausgeber:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/sym12050730
Autoren:
Ana Martin, Lucas Lamata, Enrique Solano, Mikel Sanz
Veröffentlicht in:
Physical Review Research, Ausgabe 2/1, 2020, ISSN 2643-1564
Herausgeber:
American Physical Society
DOI:
10.1103/physrevresearch.2.013012
Autoren:
Yongcheng Ding, Tang-You Huang, Koushik Paul, Minjia Hao, Xi Chen
Veröffentlicht in:
Physical Review A, Ausgabe 101/6, 2020, ISSN 2469-9926
Herausgeber:
American Physical Society
DOI:
10.1103/physreva.101.063410
Autoren:
Sebastian Krinner, Nathan Lacroix, Ants Remm, Agustin Di Paolo, Elie Genois, Catherine Leroux, Christoph Hellings, Stefania Lazar, Francois Swiadek, Johannes Herrmann, Graham J. Norris, Christian Kraglund Andersen, Markus Müller, Alexandre Blais, Christopher Eichler, Andreas Wallraff
Veröffentlicht in:
Nature, 2022, ISSN 1476-4687
Herausgeber:
Springer Nature
DOI:
10.1038/s41586-022-04566-8
Autoren:
Samuel A Wilkinson, Michael J Hartmann
Veröffentlicht in:
2022
Herausgeber:
arrive.org
DOI:
10.48550/arxiv.2208.06198
Autoren:
Feng Hu, Lucas Lamata, Chao Wang, Xi Chen, Enrique Solano, Mikel Sanz
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
M. Ganzhorn, G. Salis, D. J. Egger, A. Fuhrer, M. Mergenthaler, C. Müller, P. Müller, S. Paredes, M. Pechal, M. Werninghaus, S. Filipp
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
Gian Salis, Nikolaj Moll, Marco Roth, Marc Ganzhorn, Stefan Filipp
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
Asier Galicia, Borja Ramon, Enrique Solano, Mikel Sanz
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
Byoung-moo Ann, Gary A. Steele
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
Yue Ban, Xi Chen, E. Torrontegui, E. Solano, J. Casanova
Veröffentlicht in:
2020
Herausgeber:
arXiv
Autoren:
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
David Headley, Thorge Müller, Ana Martin, Enrique Solano, Mikel Sanz, Frank K. Wilhelm
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
B. O. Goes, G. T. Landi, E. Solano, M. Sanz, L. C. Céleri
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
R. Puebla, Y. Ban, J. F. Haase, M. B. Plenio, M. Paternostro, J. Casanova
Veröffentlicht in:
arXiv, 2020
Herausgeber:
arXiv
Autoren:
Streif, Michael; Leib, Martin
Veröffentlicht in:
Quantum Science and Technology, 2020, ISSN 2058-9565
Herausgeber:
Institute of Physics
DOI:
10.1088/2058-9565/ab8c2b
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