Quantum Computing @ INFN

Session

Lunedi

Nov 14, 2022, 11:00 AM

Aula Specola (Bologna)

1. Introduzione

Antonio Zoccoli (Istituto Nazionale di Fisica Nucleare), Concezio Bozzi (Istituto Nazionale di Fisica Nucleare), Daniele Bonacorsi (Istituto Nazionale di Fisica Nucleare)

11/14/22, 11:00 AM

Relazioni a invito

2. Quantum Computing and Particle Physics

Ivano Tavernelli (IBM Research Center Zurich)

11/14/22, 11:30 AM

Relazioni a invito

21. Quantum Technologies nel PNRR

Valter Bonvicini (Istituto Nazionale di Fisica Nucleare)

11/14/22, 12:20 PM

Relazioni a invito

22. Quantum Machine Learning: from theory to practice @ CERN

Michele Grossi (European Organisation for Nuclear Research, Espl. des Particules 1, 1211 Meyrin, Switzerland), Michele Grossi (CERN, Ginevra)

11/14/22, 2:30 PM

Relazioni a invito

23. Metodi di quantum computing per tracciamento di particelle cariche

Sofia Vallecorsa (CERN, Ginevra)

11/14/22, 3:10 PM

Relazioni a invito

28. Noisy Gates for Quantum Computing

Michele Vischi (Università di Trieste), Michele Vischi (Istituto Nazionale di Fisica Nucleare)

11/14/22, 3:50 PM

Assessing the effect of noises in quantum computers is a major task for understanding their practical applicability for solving real-life problems. In quantum mechanics, and in particular in quantum computation, noises emerging from the interaction of a system with its surrounding environment is formulated in terms of the density matrix. The theory is well developed, but from the computational...

25. Quantum Fuzzy Inference in Particle Accelerator Control

Prof. Giovanni Acampora (Università degli studi di Napoli Federico II), Roberto Schiattarella (Università di Napoli Federico II)

11/14/22, 4:50 PM

Fondazionale

Fuzzy Logic is a theory which can model classes of objects that do not have precisely defined criteria of membership in a way to mimic human thinking. Thanks to this capability, fuzzy logic has found great application in the field of automatic control and decision making, explained by the fact that expert knowledge is easily introduced into fuzzy systems, by means of fuzzy rules. Despite their...

7. Evaluation quantum gradient through quantum non-demolition measurements

Prof. Paolo Solinas (Dept.. Physics, Univ. Genova and INFN)

11/14/22, 5:15 PM

Fondazionale

Even if error-free quantum computers are still decades away, today's generation of quantum computers should be able to attack classically unsolvable computational problems.
The paradigmatic example is the search for the energy minimum of medium size quantum systems.
These problems are usually classified as variational quantum algorithms and require a hybrid quantum-classical computer...

4. Quantum simulation and control with Qibo

Stefano Carrazza (Istituto Nazionale di Fisica Nucleare)

11/14/22, 5:40 PM

Infrastruttura

We present Qibo, an open-source framework for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators, quantum hardware calibration and control. The growing interest in quantum computing and the recent developments of quantum hardware devices motivates the development of new advanced computational tools focused on performance and usage...

26. Bayesian Optimization for QAOA

Elisa Ercolessi (Istituto Nazionale di Fisica Nucleare)

11/14/22, 6:05 PM

Fondazionale

We present a Bayesian optimization procedure to fulfil this optimization task of the QAOA algorithm, and we investigate its performance in comparison with other global optimizers. Our approach allows for a significant reduction in the number of calls to the quantum circuit, which is typically the most expensive part. We demonstrate that our method works well also in the regime of slow circuit...

27. Noise gates for quantum computing

Michele Vischi (Università di Trieste)

3. Relazione a invito (TBC)

Relazioni a invito