Computer Modelling and Simulation, Artificial Intelligence and Quantum Computing

2021 ◽  
pp. 199-221
Author(s):  
Khurshed Ahmad Shah ◽  
Brijesh Kumbhani ◽  
Raul F. Garcia-Sanchez ◽  
Prabhakar Misra
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Computer Modelling ◽  
Modelling And Simulation

Entry barriers could easily thwart China’s tech plans

2021 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Import Substitution ◽  
Entry Barriers ◽  
The West ◽  
Content Type ◽  
Technological Competition ◽  
Efficiency And Productivity

Significance These are: artificial intelligence, semiconductors, quantum computing, genetics, biotechnology, neuroscience and aerospace. Impacts It is not always useful to view technological competition between China and the West as a ‘race’. China will likely burn significant capital just to achieve parity with advanced countries, and may never achieve it. Low margins will encourage protectionism and import substitution, with an impact on efficiency and productivity.

scholarly journals What is Quantum Computing and How it Works

2020 ◽  
pp. 1-5
Author(s):  
Bahman Zohuri ◽  
◽  
Farhang Mossavar Rahmani ◽  
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Quantum Computer ◽  
Time Frame ◽  
Basic Unit ◽  
Next Generation ◽  
Intel Corporation ◽  
Encrypt Data ◽  
Near Term ◽  
Incremental Step

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.

Advancing Cybersecurity for Digital Transformation

2021 ◽  
pp. 1-17
Author(s):  
Kamaljeet Sandhu
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Business Process ◽  
Case Analysis ◽  
Identity Theft ◽  
Digital Transformation ◽  
Public Utilities ◽  
The Internet ◽  
Confidential Information ◽  
Scale Size

Advancing cybersecurity for digital transformation provides opportunities and challenges. Many enterprises are accelerating the digital transformation to reach their customers, suppliers, and other parties over the internet; at the same time cybersecurity has become a serious concern. Cyberattacks have exponentially increased globally. While digital transformation makes the business process more efficient and effective, and increased cyberattacks pose obstacles, threats, and risks on the way. Cyberattacks consist of different types such as political, financial, accessing private and confidential information, ransomware, identity theft, destruction to essential infrastructure and public utilities such as energy, water, telecommunication, transportation, health, and others. This chapter presents case analysis from recent cyberattacks to show the scale, size, and type of impacts within and outside the enterprise. Newer technologies to counter cyberattacks are introduced such as quantum computing, nanotechnologies, artificial intelligence, blockchain that have the capabilities to eliminate cyberattacks.

Recent Progress in Quantum Machine Learning

2021 ◽  
pp. 232-256
Author(s):  
Amandeep Singh Bhatia ◽  
Renata Wong
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Quantum Computing ◽  
Recent Progress ◽  
Machine Learning Algorithms ◽  
Learning Models ◽  
Exciting Field ◽  
Quantum Machine Learning ◽  
The Subject ◽  
Machine Learning Models

Quantum computing is a new exciting field which can be exploited to great speed and innovation in machine learning and artificial intelligence. Quantum machine learning at crossroads explores the interaction between quantum computing and machine learning, supplementing each other to create models and also to accelerate existing machine learning models predicting better and accurate classifications. The main purpose is to explore methods, concepts, theories, and algorithms that focus and utilize quantum computing features such as superposition and entanglement to enhance the abilities of machine learning computations enormously faster. It is a natural goal to study the present and future quantum technologies with machine learning that can enhance the existing classical algorithms. The objective of this chapter is to facilitate the reader to grasp the key components involved in the field to be able to understand the essentialities of the subject and thus can compare computations of quantum computing with its counterpart classical machine learning algorithms.

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