Design automation of quantum computers / Rasit O. Topaloglu, editor.
Topaloglu, Rasit O., editor.
2023
QA76.889
Available Online

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Title Design automation of quantum computers / Rasit O. Topaloglu, editor.
ISBN 9783031156991 (electronic bk.)
3031156994 (electronic bk.)
9783031156984
3031156986
DOI https://doi.org/10.1007/978-3-031-15699-1
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (vii, 168 pages) : illustrations (chiefly color)
Item Number 10.1007/978-3-031-15699-1 doi
Call Number QA76.889
Dewey Decimal Classification 621.39
Summary This book provides readers with a comprehensive, state-of-the-art reference to the design automation aspects of quantum computers. Given roadmaps calling for quantum computers with 2000 qubits in a few years, readers will benefit from the practical implementation aspects covered in this book. The authors discuss real hardware to the extent possible. Provides an up-to-date, single-source reference to design automation aspects of quantum computers; Presentation is not just theoretical, but substantiated with real quantum hardware; Covers multi-faceted aspects of quantum computers, providing readers with valuable information, no matter the direction in which technology moves.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Topaloglu, Rasit O., editor.
Available in Other Form Design automation of quantum computers.
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Introduction
Placement algorithm for superconducting energy-efficient magnetic FPGA
EDA tools for simulation, compilation, and verification of quantum circuits
ColdFlux: A CAD flow and open-source tool suite for superconducting single flux quantum logic circuits
Qubit frequency crowding in scalable quantum computing circuits
Exploring the Potential of Alternative Quantum Computing Architectures
Methodologies to generate true random numbers from NISQ-era quantum computers
Faster simulation of fault-tolerant quantum circuits
Automating the discovery of noise-resilient quantum algorithms.

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