Quantum Algorithms for the Quantum Simulation of Closed and Open Quantum Systems

24 Jun 2025, 15:30
30m
conference hall (BLTP)

conference hall

BLTP

Oral Tuesday

Speaker

Ian Joel David (University of KwaZulu-Natal)

Description

Quantum Simulation, the emulation of quantum system dynamics with quantum computers, is an
application of quantum computing which showcases a clear advantage over classical computing. This
advantage arises from the inherent difficulty in simulating quantum dynamics on classical systems, a
challenge that originally inspired Feynman and others to propose quantum computing.
The efficient simulation of quantum dynamics on quantum computers promises profound insights into
various physical systems including many-body physics, quantum chemistry and quantum field theory.
Quantum Simulation has also been pivotal in developing new quantum algorithms for state preparation and
for solving both ordinary and partial differential equations on quantum computers.
The goal of quantum simulation is to construct a quantum channel that approximates the evolution operator
of a quantum system within some specified precision. This channel should be constructed such that it can
be efficiently implemented on a quantum computer. We focus on two primary types of quantum systems:
closed quantum systems, which evolve via unitary evolution, and open quantum systems, which interact
with their environment and experience dissipation and decoherence.

This talk will convey the essential concepts and principles underlying the quantum simulation of
both closed and open quantum systems. It will also cover some novel results in our recent work.

Author

Ian Joel David (University of KwaZulu-Natal)

Co-author

Ilya Sinayskiy (University of KwaZulu-Natal, Durban, South Africa)

Presentation materials

There are no materials yet.