Neuromrophic Quantum Computing

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.

annealer implementation v2

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 1

Draft agenda and presentations delivered during the review meeting.

training software v2

Report 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 annealer

The 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 Plan

Plan for the dissemination and exploitation of the project results.

network simulation v1

Intermediate 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 2

Draft agenda and presentations delivered during the review meeting

scalability strategy v2

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

conference

Report 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 v1

Intermediate 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 v2

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

training of networks

Report 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 v1

Intermediate 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 v1

Intermediate 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 v1

Intermediate 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 v2

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 manybody simulations for larger networks

annealer implementation v1

Intermediate 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 v2

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

Data management plan

A data management plan that will be agreed among all partners.

Veröffentlichungen

A neural network assisted 171Yb+ quantum magnetometer

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

Single shot i-Toffoli gate in dispersively coupled superconducting qubits

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

Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases

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

Direct implementation of a perceptron in superconducting circuit quantum hardware

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

QuCAT: quantum circuit analyzer tool in Python

Autoren: Mario F Gely, Gary A Steele
Veröffentlicht in: New Journal of Physics, Issue 22/1, 2020, Page(s) 013025, ISSN 1367-2630
Herausgeber: Institute of Physics Publishing
DOI: 10.1088/1367-2630/ab60f6

Selective interactions in the quantum Rabi model

Autoren: L. Cong, S. Felicetti, J. Casanova, L. Lamata, E. Solano, I. Arrazola
Veröffentlicht in: Physical Review A, Issue 101/3, 2020, ISSN 2469-9926
Herausgeber: American Physical Society
DOI: 10.1103/physreva.101.032350

Flux-mediated optomechanics with a transmon qubit in the single-photon ultrastrong-coupling regime

Autoren: Marios Kounalakis, Yaroslav M. Blanter, Gary A. Steele
Veröffentlicht in: Physical Review Research, Issue 2/2, 2020, ISSN 2643-1564
Herausgeber: American Physical Society
DOI: 10.1103/physrevresearch.2.023335

Superconducting quantum many-body circuits for quantum simulation and computing

Autoren: Samuel A. Wilkinson, Michael J. Hartmann
Veröffentlicht in: Applied Physics Letters, Issue 116/23, 2020, Page(s) 230501, ISSN 0003-6951
Herausgeber: American Institute of Physics
DOI: 10.1063/5.0008202

Double quantum magnetometry at large static magnetic fields

Autoren: C. Munuera-Javaloy, I. Arrazola, E. Solano, J. Casanova
Veröffentlicht in: Physical Review B, Issue 101/10, 2020, ISSN 2469-9950
Herausgeber: American Physical Society
DOI: 10.1103/physrevb.101.104411

Quantum Memristors in Frequency-Entangled Optical Fields

Autoren: Tasio Gonzalez-Raya, Joseph M. Lukens, Lucas C. Céleri, Mikel Sanz
Veröffentlicht in: Materials, Issue 13/4, 2020, Page(s) 864, ISSN 1996-1944
Herausgeber: MDPI Open Access Publishing
DOI: 10.3390/ma13040864

Quantized Three-Ion-Channel Neuron Model for Neural Action Potentials

Autoren: Tasio Gonzalez-Raya, Enrique Solano, Mikel Sanz
Veröffentlicht in: Quantum, Issue 4, 2020, Page(s) 224, ISSN 2521-327X
Herausgeber: Quantum
DOI: 10.22331/q-2020-01-20-224

Hybrid Microwave-Radiation Patterns for High-Fidelity Quantum Gates with Trapped Ions

Autoren: I. Arrazola, M.B. Plenio, E. Solano, J. Casanova
Veröffentlicht in: Physical Review Applied, Issue 13/2, 2020, ISSN 2331-7019
Herausgeber: American Physical Society
DOI: 10.1103/physrevapplied.13.024068

Shortcuts to adiabaticity for an interacting Bose-Einstein condensate via exact solutions of the generalized Ermakov equation

Autoren: Tang-You Huang, Boris A. Malomed, Xi Chen
Veröffentlicht in: Chaos, Issue 30, 2020, Page(s) 053131, ISSN 1054-1500
Herausgeber: American Institute of Physics
DOI: 10.1063/5.0004309

Retrieving Quantum Information with Active Learning

Autoren: Yongcheng Ding, José D. Martín-Guerrero, Mikel Sanz, Rafael Magdalena-Benedicto, Xi Chen, Enrique Solano
Veröffentlicht in: Physical Review Letters, Issue 124/14, 2020, ISSN 0031-9007
Herausgeber: American Physical Society
DOI: 10.1103/physrevlett.124.140504

Enhancing the Robustness of Dynamical Decoupling Sequences with Correlated Random Phases

Autoren: Zhenyu Wang, Jorge Casanova, Martin B. Plenio
Veröffentlicht in: Symmetry, Issue 12/5, 2020, Page(s) 730, ISSN 2073-8994
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/sym12050730

Digital-analog quantum algorithm for the quantum Fourier transform

Autoren: Ana Martin, Lucas Lamata, Enrique Solano, Mikel Sanz
Veröffentlicht in: Physical Review Research, Issue 2/1, 2020, ISSN 2643-1564
Herausgeber: American Physical Society
DOI: 10.1103/physrevresearch.2.013012

Smooth bang-bang shortcuts to adiabaticity for atomic transport in a moving harmonic trap

Autoren: Yongcheng Ding, Tang-You Huang, Koushik Paul, Minjia Hao, Xi Chen
Veröffentlicht in: Physical Review A, Issue 101/6, 2020, ISSN 2469-9926
Herausgeber: American Physical Society
DOI: 10.1103/physreva.101.063410

Realizing Repeated Quantum Error Correction in a Distance-Three Surface Code

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

Evaluating the performance of sigmoid quantum perceptrons in quantum neural networks

Autoren: Samuel A Wilkinson, Michael J Hartmann
Veröffentlicht in: 2022
Herausgeber: arrive.org
DOI: 10.48550/arxiv.2208.06198

Quantum Supremacy in Cryptography with a Low-Connectivity Quantum Annealer

Autoren: Feng Hu, Lucas Lamata, Chao Wang, Xi Chen, Enrique Solano, Mikel Sanz
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Logistic Network Design with a D-Wave Quantum Annealer

Autoren: Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Benchmarking the noise sensitivity of different parametric two-qubit gates in a single superconducting quantum computing platform

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

Time-resolved tomography of a driven adiabatic quantum simulation

Autoren: Gian Salis, Nikolaj Moll, Marco Roth, Marc Ganzhorn, Stefan Filipp
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Enhanced connectivity of quantum hardware with digital-analog control

Autoren: Asier Galicia, Borja Ramon, Enrique Solano, Mikel Sanz
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Superconducting resonator single-photon spectroscopy through electromagnetically induced transparency

Autoren: Byoung-moo Ann, Gary A. Steele
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

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: arXiv, 2020
Herausgeber: arXiv

Speed-up Quantum Perceptron via Shortcuts to Adiabaticity

Autoren: Yue Ban, Xi Chen, E. Torrontegui, E. Solano, J. Casanova
Veröffentlicht in: 2020
Herausgeber: arXiv

TensorFlow Quantum: A Software Framework for Quantum Machine Learning Michael Broughton

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

Approximating the Quantum Approximate Optimisation Algorithm

Autoren: David Headley, Thorge Müller, Ana Martin, Enrique Solano, Mikel Sanz, Frank K. Wilhelm
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Wehrl entropy production rate across a dynamical quantum phase transition

Autoren: B. O. Goes, G. T. Landi, E. Solano, M. Sanz, L. C. Céleri
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Versatile Atomic Magnetometry Assisted by Bayesian Inference

Autoren: R. Puebla, Y. Ban, J. F. Haase, M. B. Plenio, M. Paternostro, J. Casanova
Veröffentlicht in: arXiv, 2020
Herausgeber: arXiv

Training the Quantum Approximate Optimization Algorithm without access to a Quantum Processing Unit

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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Veröffentlichungen

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