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