Quantum Computing Meets Artificial Intelligence

2021 ◽  
pp. 151-155
Author(s):  
G. Acampora
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing

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.

scholarly journals Superconductor Electronics Research: National Competitiveness and Funding Activity

2021 ◽  
Author(s):  
Karson Elmgren ◽  
Ashwin Acharya ◽  
Will Hunt
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Signal Processing ◽  
Quantum Computing ◽  
Research Output ◽  
National Competitiveness ◽  
Potential Applications ◽  
Superconductor Electronics

Devices based on superconductor electronics can achieve much higher energy efficiency than standard electronics. Research in superconductor electronics could advance a range of commercial and defense priorities, with potential applications for supercomputing, artificial intelligence, sensors, signal processing, and quantum computing. This brief identifies the countries most actively contributing to superconductor electronics research and assesses their relative competitiveness in terms of both research output and funding.

Science Education and Artificial Intelligence – A Chatbot on Magic and Quantum Computing as an Educational Tool

2020 ◽  
pp. 137-142
Author(s):  
Miquel Duran ◽  
Silvia Simon ◽  
Fernando Blasco
Keyword(s):  
Artificial Intelligence ◽  
Science Education ◽  
Quantum Computing ◽  
Science Communication ◽  
Superposition Principle ◽  
Public Understanding ◽  
Second Phase ◽  
Core Elements ◽  
Quantum Science ◽  
Physical And Chemical

Artificial Intelligence (AI) has entered the realm of higher education and has become an impressive emerging field. Since AI is starting also to be applied to Science Education, here an assay is provided while the opportunities of AI in a particular case of Science Education are reviewed and assessed, namely a chatbot on Quantum Computing, another awesome emerging field. Indeed, Quantum Computing is based on a set of principles that are difficult to understand by the general population, so the ultimate goal of such a chatbot is to learn a few complex concepts in this field and to increase public understanding and awareness of Science. Actually, AI is starting also to be applied to Science Communication, even though progress is not so advanced as in learning.Magic tricks based on mathematical principles are especially well suited to teach difficult concepts, like those related to Quantum Science. They are used to explain entanglement, quantum cryptography, the superposition principle, and other quantum-related concepts – along with other physical and chemical core elements like Entropy.Developing a chatbot is not especially difficult (e.g., with Botpress, Watson, Dialogflow, Manybot, etc.). One may build either scripted, intelligent, or application bots. Indeed, the first ones are those that are easiest to create, and correspond to the first phase of the current project. Intelligent bots understand natural spoken language and correspond to a second phase in this project. In general, Bots are connected to a real-world messaging service, like Facebook Messenger, Twitter, Telegram, Slack, etc.

Technological Convergence

2021 ◽  
pp. 23-41
Author(s):  
Jose Luis Cordeiro
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Quantum Computing ◽  
Cognitive Science ◽  
Emerging Technologies ◽  
Biological Evolution ◽  
Technological Evolution ◽  
Technological Convergence ◽  
Technological Singularity

Technological convergence is accelerating and allowing humanity to move from slow and erratic biological evolution to fast and precise technological evolution. The expression “emerging technologies” is used to cover new and potentially powerful fields such as biotechnology, artificial intelligence, and nanotechnology. Although the expression might be somewhat ambiguous, several clusters of different technologies are advancing exponentially and will be critical to humanity's future. NBIC is a common abbreviation that stands for nanotechnology, biotechnology, information technology, and cognitive science. Other technologies like robotics, quantum computing, and space technologies can be added towards an accelerating “technological convergence” that might lead to a “technological singularity” as proposed by US engineer and futurist Ray Kurzweil. According to Kurzweil, we will reach a “technological singularity” by 2045, when we will be able to transcend many of our current limitations and move from biological humans to technological transhumans, both on planet Earth and beyond.

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
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