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Neuromrophic Quantum Computing

Deliverables

webpage

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.

Technical/scientific review meeting documents 1

Draft agenda and presentations delivered during the review meeting.

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.

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 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.

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.

Data management plan

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

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Publications

QuCAT: quantum circuit analyzer tool in Python

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

Selective interactions in the quantum Rabi model

Author(s): L. Cong, S. Felicetti, J. Casanova, L. Lamata, E. Solano, I. Arrazola
Published in: Physical Review A, Issue 101/3, 2020, ISSN 2469-9926
DOI: 10.1103/physreva.101.032350

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

Author(s): Marios Kounalakis, Yaroslav M. Blanter, Gary A. Steele
Published in: Physical Review Research, Issue 2/2, 2020, ISSN 2643-1564
DOI: 10.1103/physrevresearch.2.023335

Superconducting quantum many-body circuits for quantum simulation and computing

Author(s): Samuel A. Wilkinson, Michael J. Hartmann
Published in: Applied Physics Letters, Issue 116/23, 2020, Page(s) 230501, ISSN 0003-6951
DOI: 10.1063/5.0008202

Double quantum magnetometry at large static magnetic fields

Author(s): C. Munuera-Javaloy, I. Arrazola, E. Solano, J. Casanova
Published in: Physical Review B, Issue 101/10, 2020, ISSN 2469-9950
DOI: 10.1103/physrevb.101.104411

Quantum Memristors in Frequency-Entangled Optical Fields

Author(s): Tasio Gonzalez-Raya, Joseph M. Lukens, Lucas C. Céleri, Mikel Sanz
Published in: Materials, Issue 13/4, 2020, Page(s) 864, ISSN 1996-1944
DOI: 10.3390/ma13040864

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

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

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

Author(s): I. Arrazola, M.B. Plenio, E. Solano, J. Casanova
Published in: Physical Review Applied, Issue 13/2, 2020, ISSN 2331-7019
DOI: 10.1103/physrevapplied.13.024068

Retrieving Quantum Information with Active Learning

Author(s): Yongcheng Ding, José D. Martín-Guerrero, Mikel Sanz, Rafael Magdalena-Benedicto, Xi Chen, Enrique Solano
Published in: Physical Review Letters, Issue 124/14, 2020, ISSN 0031-9007
DOI: 10.1103/physrevlett.124.140504

Enhancing the Robustness of Dynamical Decoupling Sequences with Correlated Random Phases

Author(s): Zhenyu Wang, Jorge Casanova, Martin B. Plenio
Published in: Symmetry, Issue 12/5, 2020, Page(s) 730, ISSN 2073-8994
DOI: 10.3390/sym12050730

Digital-analog quantum algorithm for the quantum Fourier transform

Author(s): Ana Martin, Lucas Lamata, Enrique Solano, Mikel Sanz
Published in: Physical Review Research, Issue 2/1, 2020, ISSN 2643-1564
DOI: 10.1103/physrevresearch.2.013012

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

Author(s): Yongcheng Ding, Tang-You Huang, Koushik Paul, Minjia Hao, Xi Chen
Published in: Physical Review A, Issue 101/6, 2020, ISSN 2469-9926
DOI: 10.1103/physreva.101.063410

Quantum Supremacy in Cryptography with a Low-Connectivity Quantum Annealer

Author(s): Feng Hu, Lucas Lamata, Chao Wang, Xi Chen, Enrique Solano, Mikel Sanz
Published in: arXiv, 2020

Logistic Network Design with a D-Wave Quantum Annealer

Author(s): Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz
Published in: arXiv, 2020

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

Author(s): M. Ganzhorn, G. Salis, D. J. Egger, A. Fuhrer, M. Mergenthaler, C. Müller, P. Müller, S. Paredes, M. Pechal, M. Werninghaus, S. Filipp
Published in: arXiv, 2020

Time-resolved tomography of a driven adiabatic quantum simulation

Author(s): Gian Salis, Nikolaj Moll, Marco Roth, Marc Ganzhorn, Stefan Filipp
Published in: arXiv, 2020

Enhanced connectivity of quantum hardware with digital-analog control

Author(s): Asier Galicia, Borja Ramon, Enrique Solano, Mikel Sanz
Published in: arXiv, 2020

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

Author(s): Streif, Michael; Leib, Martin
Published in: arXiv, 2020

Superconducting resonator single-photon spectroscopy through electromagnetically induced transparency

Author(s): Byoung-moo Ann, Gary A. Steele
Published in: arXiv, 2020

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

Author(s): 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
Published in: arXiv, 2020

Speed-up Quantum Perceptron via Shortcuts to Adiabaticity

Author(s): Yue Ban, Xi Chen, E. Torrontegui, E. Solano, J. Casanova
Published in: 2020

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

Author(s): Tang-You Huang, Boris A. Malomed, Xi Chen
Published in: arXiv, 2020

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

Author(s): 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
Published in: arXiv, 2020

Approximating the Quantum Approximate Optimisation Algorithm

Author(s): David Headley, Thorge Müller, Ana Martin, Enrique Solano, Mikel Sanz, Frank K. Wilhelm
Published in: arXiv, 2020

Wehrl entropy production rate across a dynamical quantum phase transition

Author(s): B. O. Goes, G. T. Landi, E. Solano, M. Sanz, L. C. Céleri
Published in: arXiv, 2020

Versatile Atomic Magnetometry Assisted by Bayesian Inference

Author(s): R. Puebla, Y. Ban, J. F. Haase, M. B. Plenio, M. Paternostro, J. Casanova
Published in: arXiv, 2020