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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Towards a hybrid quantum operating system

May 9, 2023, 4:45 PM
Marriott Ballroom VII (Norfolk Waterside Marriott)

Marriott Ballroom VII

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510


Pasquale, Andrea (Università degli Studi di Milano - INFN Sezione di Milano - Technology Innovation Institute Abu Dhabi)


Over the last 20 years, thanks to the development of quantum technologies, it has been
possible to deploy quantum algorithms and applications, that before were only
accessible through simulation, on real quantum hardware. The current devices available are often refereed to as noisy intermediate-scale quantum (NISQ) computers and they require
calibration routines in order to obtain consistent results.

In this context, we present the latest developments of Qibo, an open-source framework for quantum computing.
Qibo was initially born as a tool for simulating quantum circuits.
Through its modular layout for backend abstraction it is possible to change effortlessly between different backends, including a high-performance simulator based on just-in-time compilation, Qibojit, which is able to simulate circuits with large number of qubits (greater than 35).

The latest additions have been Qibolab and Qibocal. The first one is a module that makes possible to employ the language developed by Qibo to execute quantum circuits on real quantum hardware, also based on different electronics. The second one is a general framework for performing calibration, characterization and randomized benchmarking protocols on all the platforms compatible with Qibolab. The advantage of these tools is that we are able to use different setups while accessing them through the same language.

We illustrate two applications of Quantum Machine Learning aimed at HEP and implemented thanks to our framework: a generative model (quantum GAN) used in the context of Monte Carlo event generation and a variational quantum circuit used to determine the content of the proton.

Consider for long presentation No

Primary authors

Pasquale, Andrea (Università degli Studi di Milano - INFN Sezione di Milano - Technology Innovation Institute Abu Dhabi) Prof. Carrazza, Stefano (University of Milan, CERN, Technology Innovation Institute (UAE)) Mr Pedicillo, Edoardo (University of Milano) Robbiati, Matteo (University of Milan, CERN) Efthymiou, Stavros (Technology Innovation Institute)

Presentation materials

Peer reviewing