Architectures and Circuits for Distributed Quantum Computing

2024
ISBN: 978-3-031-73807-4
Verlag: Springer Nature Switzerland

Buch, Englisch, 76 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 321 g

Reihe: Springer Theses

This thesis treats networks providing quantum computation based on distributed paradigms. Compared to architectures relying on one processor, a network promises to be more scalable and less fault-prone. Developing a distributed system able to provide practical quantum computation comes with numerous challenges, each of which need to be faced with careful analysis in order to create a seamless integration of multiple engineered components.

In accordance with hardware technologies, currently under development worldwide, telegates represent the fundamental inter-processor operations. Each telegate consists of several tasks: i) entanglement generation and distribution, ii) local operations, and iii) classical communications. Entanglement generation and distribution is an expensive resource, as it is time-consuming. The primary contribution of this thesis lies in the extensive analysis of some complex scenarios of general interest. We propose numerical models that help to identifythe interdependence between computation and communication. With the support of some of the best tools for reasoning -- i.e. network optimization, circuit manipulation, group theory and ZX-calculus -- we lay out new perspectives on the way a distributed quantum computing system should be developed.

Zielgruppe

Research

Autoren/Hrsg.

Cuomo, Daniele

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Naturwissenschaften Physik Quantenphysik

Inhaltsverzeichnis

Introduction.- Computing with Quantum Circuits.- Entanglement-based Computation.- Essentials on Quantum Noise.- System Design Characterization and Evaluation.

Über Autor(innen)

Currently a Postdoc Horizon Fellow at Universidad Politecnica de Valencia, Daniel Cuomo's primary work concerns the design of scalable systems for quantum computation. He collaborates closely with leading experts and institutions in the field. He holds a M.Sc. in Computer Science and a Ph.D. in Quantum Technologies, both achieved with the highest grade at the Università degli Studi di Napoli Federico II. With a track record of published articles addressing distributed systems design and optimisation, Daniel has four years of hands-on experience. He has worked as a visiting researcher at Universidad Carlos III de Madrid and served as a theory counselor at Nu Quantum in Cambridge.