REGISTRATION. Sorry, the registration is complete. Thank you for your interest

More information workshop.qchpc2019@usc.es

**Quantum Computation** has emerged as a new paradigm to solve certain problems that are beyond reach for conventional programming. Although still at its dawn, possible fields of application have been identified and tackled with promising results.

If confirmed, the recent announcement of the achievement of Quantum Supremacy will boost the activity in this field to limits not yet to be foreseen.

This workshop focusses on the relations between **Quantum Computation (QC) and High Performance Computing (HPC)** and the synergies that may appear between them for use in the scientific and technical fields. Ongoing initiatives of implementation will be presented by active researcher centres and companies. Also upcoming developments will be accounted for, mainly connected with Quantum Machine Learning strategies.

**Invited Speakers**

**Experimenting Quantum Machine Regression on NISQ computers** Quantum Machine Learning is one of the possible candidates to get profit from Quantum Computers. Currently, many of the algorithms use classical-guided training on top of quantum circuits, to obtain the right parameters of the applied gates. On this presentation, an experience about the use of Quantum Machine Learning techniques for regression of synthetic cases on current Noisy Intermediate-Scale Quantum (NISQ ) computers will be presented, discussing the effects of the noise on the results.

**Artificial Life and Machine Learning with Quantum Technologies ** I will describe the research I have developed in the QUTIS Group at the University of the Basque Country, and since past July at the Universidad de Sevilla, on the topic of artificial life and machine learning with quantum technologies. Among other things, I will describe an experiment of quantum artificial life on the IBM cloud quantum computer, and a proposal and quantum photonics experiment, in collaboration with a group in Hefei, China, of quantum reinforcement learning for state estimation.

**Topological Quantum Computation: an overview** In recent years, topological effects have found a variety of
remarkable developments in quantum computation.
A conceptual insight as to why topology plays a role in quantum
physics is presented. This review includes basic explanations
of how topology is a solution for quantum information and
computation. The impact of these applications on
quantum technologies will be addressed.

**Qiskit: a open source framework for Quantum Computing ** In order to harness the power of quantum computing, we developed an open source framework with an aim of comprehensiveness: from facilitating research to providing access to real NISQ devices through IBM Q. In this talk, we explore the Qiskit software stack, focusing on specific use cases and in the open approach of this quantum journey: not only how can Qiskit help you, but how can you help Qiskit.

**Programme**

08:30 – 09:00 | Registration |

09:00 – 09:10 | Presentation and welcome |

09:10 – 09:30 | RES – Spanish Supercomputing Network Services |

09:30 – 10:00 | Federico Carminati (CERN)
Quantum Computing for High Energy Physics Applications |

10:00 – 10:30 | Mikel Sanz (UPV/Ikerbaske)
Quantum computing in near-term quantum devices |

10:30 – 11:00 | Marcos Curty(UVIGO)
Breaking the limits of Quantum Cryptography |

11:00 – 11:30 | Coffee Break |

11:30 – 12:00 | David Herrera-Marti (ATOS)
ATOS QLM – NISQ y Química Cuántica |

12:00 – 12:30 | Borja Menéndez (FUJITSU)
Solving tomorrow’s quantum computing problems with Digital Annealer |

12:30 – 13:00 | Diego Moreda (IBM-Q)
Qiskit: a open source framework for Quantum Computing |

13:00 – 13:30 | Pol Forn (IFAE-Qilimanjaro)
Building a superconducting quantum computer |

13:30 – 15:00 | Lunch |

15:00 – 15:30 | José Ignacio Latorre (UB-Barcelona)
Variational Quantum Algorithms |

15:30 – 16:00 | Carmen G. Almudever (Delft University of Technology)Full-stack challenges of bridging quantum chips up to scalable quantum co-processor heterogeneous architectures |

16:00 – 16:30 | Miguel Angel Martín-Delgado (U. Complutense-Madrid)
Topological Quantum Computation: an overview |

16:30 – 17:00 | Andrés Gómez (CESGA)
Experimenting Quantum Machine Regression on NISQ computers |

17:00 – 17:30 | Coffee Break |

17:30 – 18:00 | Joaquín Fernández-Rossier (INL Braga)
Berry phase estimation in Gate-Based Adiabatic Quantum Simulation |

18:00 – 18:30 | Lucas Lamata (US-Sevilla)
Artificial Life and Machine Learning with Quantum Technologies |

18.30 – 19:00 | Vicente Moret (CITIC-UDC)
Uncertainty in Quantum Ruled-Based systems |

# **Organizing committee **

**Javier Más Solé** (IGFAE – USC)

**Tomás Fernández Pena** (CITIUS – USC)

**Andrés Gómez Tato** (CESGA)

**Registration**

Sorry, the registration is complete. Thank you for your interest
More information workshop.qchpc2019@usc.es

Máximum number of attendants was limited to 50.

**Venue**

**OrganiZed by**

###### Partners