Livrables
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.
Publications
Auteurs:
Yan Chen, Yue Ban, Ran He, Jin-Ming Cui, Yun-Feng Huang, Chuan-Feng Li, Guang-Can Guo & Jorge Casanova
Publié dans:
npj Quantum Information, 2022, ISSN 2056-6387
Éditeur:
Springer Nature
DOI:
10.1038/s41534-022-00669-2
Auteurs:
Aneirin J. Baker, Gerhard B. P. Huber, Niklas J. Glaser, Federico Roy, Ivan Tsitsilin, Stefan Filipp, and Michael J. Hartmann
Publié dans:
Applied Physics Letters, 2022, ISSN 1077-3118
Éditeur:
American Institut of Physics
DOI:
10.1063/5.0077443
Auteurs:
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
Publié dans:
Nature Communications, 2022, ISSN 2041-1723
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41467-022-31679-5
Auteurs:
Marek Pechal, Federico Roy, Samuel A. Wilkinson, Gian Salis, Max Werninghaus, Michael J. Hartmann, Stefan Filipp
Publié dans:
Physical Review Research, 2022, ISSN 2643-1564
Éditeur:
American Physical Society
DOI:
10.1103/physrevresearch.4.033190
Auteurs:
Mario F Gely, Gary A Steele
Publié dans:
New Journal of Physics, Numéro 22/1, 2020, Page(s) 013025, ISSN 1367-2630
Éditeur:
Institute of Physics Publishing
DOI:
10.1088/1367-2630/ab60f6
Auteurs:
L. Cong, S. Felicetti, J. Casanova, L. Lamata, E. Solano, I. Arrazola
Publié dans:
Physical Review A, Numéro 101/3, 2020, ISSN 2469-9926
Éditeur:
American Physical Society
DOI:
10.1103/physreva.101.032350
Auteurs:
Marios Kounalakis, Yaroslav M. Blanter, Gary A. Steele
Publié dans:
Physical Review Research, Numéro 2/2, 2020, ISSN 2643-1564
Éditeur:
American Physical Society
DOI:
10.1103/physrevresearch.2.023335
Auteurs:
Samuel A. Wilkinson, Michael J. Hartmann
Publié dans:
Applied Physics Letters, Numéro 116/23, 2020, Page(s) 230501, ISSN 0003-6951
Éditeur:
American Institute of Physics
DOI:
10.1063/5.0008202
Auteurs:
C. Munuera-Javaloy, I. Arrazola, E. Solano, J. Casanova
Publié dans:
Physical Review B, Numéro 101/10, 2020, ISSN 2469-9950
Éditeur:
American Physical Society
DOI:
10.1103/physrevb.101.104411
Auteurs:
Tasio Gonzalez-Raya, Joseph M. Lukens, Lucas C. Céleri, Mikel Sanz
Publié dans:
Materials, Numéro 13/4, 2020, Page(s) 864, ISSN 1996-1944
Éditeur:
MDPI Open Access Publishing
DOI:
10.3390/ma13040864
Auteurs:
Tasio Gonzalez-Raya, Enrique Solano, Mikel Sanz
Publié dans:
Quantum, Numéro 4, 2020, Page(s) 224, ISSN 2521-327X
Éditeur:
Quantum
DOI:
10.22331/q-2020-01-20-224
Auteurs:
I. Arrazola, M.B. Plenio, E. Solano, J. Casanova
Publié dans:
Physical Review Applied, Numéro 13/2, 2020, ISSN 2331-7019
Éditeur:
American Physical Society
DOI:
10.1103/physrevapplied.13.024068
Auteurs:
Tang-You Huang, Boris A. Malomed, Xi Chen
Publié dans:
Chaos, Numéro 30, 2020, Page(s) 053131, ISSN 1054-1500
Éditeur:
American Institute of Physics
DOI:
10.1063/5.0004309
Auteurs:
Yongcheng Ding, José D. Martín-Guerrero, Mikel Sanz, Rafael Magdalena-Benedicto, Xi Chen, Enrique Solano
Publié dans:
Physical Review Letters, Numéro 124/14, 2020, ISSN 0031-9007
Éditeur:
American Physical Society
DOI:
10.1103/physrevlett.124.140504
Auteurs:
Zhenyu Wang, Jorge Casanova, Martin B. Plenio
Publié dans:
Symmetry, Numéro 12/5, 2020, Page(s) 730, ISSN 2073-8994
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/sym12050730
Auteurs:
Ana Martin, Lucas Lamata, Enrique Solano, Mikel Sanz
Publié dans:
Physical Review Research, Numéro 2/1, 2020, ISSN 2643-1564
Éditeur:
American Physical Society
DOI:
10.1103/physrevresearch.2.013012
Auteurs:
Yongcheng Ding, Tang-You Huang, Koushik Paul, Minjia Hao, Xi Chen
Publié dans:
Physical Review A, Numéro 101/6, 2020, ISSN 2469-9926
Éditeur:
American Physical Society
DOI:
10.1103/physreva.101.063410
Auteurs:
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
Publié dans:
Nature, 2022, ISSN 1476-4687
Éditeur:
Springer Nature
DOI:
10.1038/s41586-022-04566-8
Auteurs:
Samuel A Wilkinson, Michael J Hartmann
Publié dans:
2022
Éditeur:
arrive.org
DOI:
10.48550/arxiv.2208.06198
Auteurs:
Feng Hu, Lucas Lamata, Chao Wang, Xi Chen, Enrique Solano, Mikel Sanz
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
M. Ganzhorn, G. Salis, D. J. Egger, A. Fuhrer, M. Mergenthaler, C. Müller, P. Müller, S. Paredes, M. Pechal, M. Werninghaus, S. Filipp
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
Gian Salis, Nikolaj Moll, Marco Roth, Marc Ganzhorn, Stefan Filipp
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
Asier Galicia, Borja Ramon, Enrique Solano, Mikel Sanz
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
Byoung-moo Ann, Gary A. Steele
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
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
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
Yue Ban, Xi Chen, E. Torrontegui, E. Solano, J. Casanova
Publié dans:
2020
Éditeur:
arXiv
Auteurs:
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
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
David Headley, Thorge Müller, Ana Martin, Enrique Solano, Mikel Sanz, Frank K. Wilhelm
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
B. O. Goes, G. T. Landi, E. Solano, M. Sanz, L. C. Céleri
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
R. Puebla, Y. Ban, J. F. Haase, M. B. Plenio, M. Paternostro, J. Casanova
Publié dans:
arXiv, 2020
Éditeur:
arXiv
Auteurs:
Streif, Michael; Leib, Martin
Publié dans:
Quantum Science and Technology, 2020, ISSN 2058-9565
Éditeur:
Institute of Physics
DOI:
10.1088/2058-9565/ab8c2b
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