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Global Topological Quantum Computing Market Growth (Status and Outlook) 2024-2030

Publisher LP Information, Inc.
Published Mar 19, 2024
Length 82 Pages
SKU # LPI18635419

Description

Global Topological Quantum Computing Market Growth (Status and Outlook) 2024-2030


According to this study, the global Topological Quantum Computing market size will reach US$ million by 2030.

Topological Quantum Computing is a theoretical quantum computer that employs two-dimensional quasiparticles called anyons, whose world lines pass around one another to form braids in a three-dimensional spacetime.

Topological quantum computers are equivalent in computational power to other standard models of quantum computation, in particular to the quantum circuit model and to the quantum Turing machine model.

This report presents a comprehensive overview, market shares, and growth opportunities of Topological Quantum Computing market by product type, application, key players and key regions and countries.

Segmentation by product type:
Software
Hardware
Service

Segmentation by Application:
Civilian
Business
Environmental
National Security
Others

This report also splits the market by region:
United States
China
Europe
Other regions:
Japan
South Korea
Southeast Asia
Rest of world

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
Microsoft
IBM
Google
D-Wave Systems
Airbus
Raytheon
Intel
Hewlett Packard
Alibaba Quantum Computing Laboratory
IonQ

Please note: The report will take approximately 2 business days to prepare and deliver.

Table of Contents

82 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Topological Quantum Computing Key Players
4 Topological Quantum Computing by Regions
5 United States
6 Europe
7 China
8 Rest of World
9 Market Drivers, Challenges and Trends
10 Key Investors in Topological Quantum Computing
11 Key Players Analysis
12 Research Findings and Conclusion

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