What is Quantum Computing and How it Works, Artificial
Intelligence Driven by Quantum Computing
Volume 3 - Issue 2
Bahman Zohuri1*, Farhang Mossavar Rahmani2
-
Author Information
Open or Close
- 1Adjunct Professor, Golden Gate University, Ageno School of Business, Data Analytic, San Francisco, California, USA
- 2Professor of Finance and Director of MBA School of Business and Management, National University, San Diego, California, USA
*Corresponding author:
Bahman Zohuri, Adjunct Professor, Golden Gate University, Ageno School of Business, Data Analytic, San
Francisco, California, USA
Received: July 02, 2020; Published: August 11, 2020
DOI: 10.32474/MAMS.2020.03.000157
Full Text
PDF
To view the Full Article Peer-reviewed Article PDF
Abstract
Companies such as Intel as a pioneer in chip design for computing are pushing the edge of computing from its present Classical
Computing generation to the next generation of Quantum Computing. Along the side of Intel corporation, companies such as IBM,
Microsoft, and Google are also playing in this domain. The race is on to build the world’s first meaningful quantum computer-one
that can deliver the technology’s long-promised ability to help scientists do things like develop miraculous new materials, encrypt
data with near-perfect security and accurately predict how Earth’s climate will change. Such a machine is likely more than a decade
away, but IBM, Microsoft, Google, Intel, and other tech heavyweights breathlessly tout each tiny, incremental step along the way.
Most of these milestones involve packing more quantum bits, or qubits-the basic unit of information in a quantum computer-onto
a processor chip ever. But the path to quantum computing involves far more than wrangling subatomic particles. Such computing
capabilities are opening a new area into dealing with the massive sheer volume of structured and unstructured data in the form
of Big Data, is an excellent augmentation to Artificial Intelligence (AI) and would allow it to thrive to its next generation of Super
Artificial Intelligence (SAI) in the near-term time frame.
Keywords: Quantum Computing and Computer, Classical Computing and Computer, Artificial Intelligence, Machine Learning,
Deep Learning, Fuzzy Logic, Resilience System, Forecasting and Related Paradigm, Big Data, Commercial and Urban Demand for
Electricity
Abstract|
Introduction|
What Are Qubits?|
How Powerful Are Quantum Computers?|
How to Build Quantum Computers?|
Conclusion|
References|