11–15 Mar 2024
Charles B. Wang Center, Stony Brook University
US/Eastern timezone

Towards an open-source hybrid quantum operating system

11 Mar 2024, 17:30
20m
Lecture Hall 1 (Charles B. Wang Center, Stony Brook University)

Lecture Hall 1

Charles B. Wang Center, Stony Brook University

100 Circle Rd, Stony Brook, NY 11794
Oral Track 1: Computing Technology for Physics Research Track 1: Computing Technology for Physics Research

Speaker

Edoardo Pedicillo

Description

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 referred to as noisy intermediate-scale
quantum (NISQ) computers, and they require calibration routines
in order to obtain consistent results.

In this context, we present 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 simulator based on
just-in-time compilation, Qibojit.

In order to enable the execution and calibration of self-hosted quantum hardware
we have developed two open-source libraries integrated with the Qibo framework:
Qibolab and Qibocal.
Qibolab provides the software layer required to automatically execute circuit-based
algorithms on custom self-hosted quantum hardware platforms.
It enables experimentalists and developers to delegate all complex aspects of
hardware implementation to the library so they can standardize the deployment
of quantum computing algorithms in a hardware-agnostic way.

Qibocal is based on a modular QPU (Quantum Processing Unit) platform agnostic approach and introduces tools
that support the calibration and characterization of QPUs on three different levels:
development, deployment and distribution. Qibocal provides a code library to
rapidly develop protocols for different hardware abstraction layers.
The integration with Qibo allows one to easily switch between hardware execution
and high-perfomance simulation.

Significance

This talk will focus mainly on Qibocal and Qibolab as tools for calibrating and characterizing quantum devices.

References

https://arxiv.org/pdf/2303.10397.pdf
https://arxiv.org/pdf/2308.06313.pdf

Primary authors

Andrea Pasquale (University of Milan) Edoardo Pedicillo Matteo Robbiati (Università degli Studi e INFN Milano (IT)) Stefano Carrazza (CERN)

Presentation materials