QTI Lectures

Noisy gates approach for simulating quantum computers

by Michele Vischi, Giovanni Di Bartolomeo (QMTS group, Univ. of Trieste)

Europe/Zurich
Online (CERN)

Online

CERN

Description

In the seminar we present a novel method for simulating the noisy behavior of quantum computers, which allows to efficiently incorporate environmental effects in the driven evolution implementing the gates on the qubits. We show how to modify the noiseless gate executed by the computer to include any Markovian noise, hence resulting in what we will call a noisy gate. We test our method against the IBM Qiskit simulator and show that it follows more closely both the analytical evolution of the Lindblad equation as well as the behavior of a real quantum computer, thus offering a more accurate noise simulator of NISQ devices. The method is flexible enough to potentially describe any noise, including non-Markovian ones.

About the speakers

Giovanni di Bartolomeo and Michele Vischi are PhD students in the QMTS group at the University of Trieste. They are working together on the development of new techniques for the analysis of noise in quantum algorithms and error mitigation strategies.

Giovanni's main research interests are quantum information, open quantum systems and models of wave function collapse related to gravity.

Michele's main research interests are quantum computation, decoherence in quantum devices, and superconducting quantum circuits.

Collaborators 
Francesco Cesa, Roman Wixinger, Michele Grossi, Sandro Donadi, Angelo Bassi

Organized by

Miguel Angel Marquina and Anastasiia Lazuka - Communication, Education and Outreach/IT Department


If you are interested to contribute to the QTI Lecture programme, please contact us at quantum-edu@cern.ch
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Please note:
Participants without CERN or Indico credentials should register below to receive the Zoom passcode by mail on the date of the event.

Videoconference
QTI Room "John Stewart Bell"
Zoom Meeting ID
69247665693
Host
Miguel Angel Marquina
Alternative hosts
Anastasiia Lazuka, John Cassar, Pascal Pignereau
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