Название: Quantum Computing and Artificial Intelligence: Training Machine and Deep Learning Algorithms on Quantum ComputersАвтор: Pethuru Raj, Abhishek Kumar, Surbhi Bhatia
Издательство: De Gruyter
Год: 2023
Страниц: 308
Язык: английский
Формат: pdf (true), epub
Размер: 37.7 MB
This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and Artificial Intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quantum computing and AI domains.
Quantum artificial intelligence (QAI) is being proclaimed as the most powerful technology for the future. QAI is a strategically sound combination of two pathbreaking technologies: Artificial Intelligence (AI) and quantum computing. By running AI algorithms and models on quantum computers, it is possible for bringing in delectable revolutions and evolutions across industry verticals. However, there is a long way to traverse to build and use fault-tolerant quantum computers. AI can surmount many practical problems getting associated with quantum computers. The key use cases that can be accomplished by QAI include visual perception, speech recognition, decision-making, financial analysis, and language translation.
Running AI models on quantum computers is more advantageous than running the same on conventional and classical computing. As illustrated in the chapters of this book, quantum computing carries special capabilities in the form of superposition and entanglement. A fault-tolerant quantum computer that naturally gets empowered with superposition and entanglement could do complex AI tasks quickly; that is, fault-tolerant quantum computers can finish complicated and challenging tasks in less time consuming less power. With less power consumption, quantum computer tasked to tackle sophisticated AI problems has turned out to be environment-friendly. Researchers and quantum computing service providers are exploring different complex problems in sync up with AI power.
AI is emerging as one of the key industry trends. There are AI-driven voice assistants such as Alexa and Siri. There are many natural language processing (NLP)-based chatbots. Autonomous vehicles immensely leverage the computer vision (CV) power. In the recent past, the world is excited with OpenAI’s GPT-3, which can write prose like humans, and DeepMind by Google which can beat human chess experts. IBM Watson is creating waves across industry verticals. All these clearly illustrate that AI is fast becoming mature enough to resolve real-life problems. Thus, AI becomes penetrative, pervasive, and persuasive too.
QAI, when it gets fully perfected, can be a game-changer for a number of industry verticals. In fact, AI systems powered up by quantum computers can be a huge blessing for every enterprising business. CV and NLP are complex problems mandating for huge amount of computational resources. Herein, the unique power of quantum computing comes to the rescue. Autonomous vehicles will get a huge improvement with the QAI capability. Going forward, QAI is being explored by drug discovery companies as quantum computer can do large-scale data processing really fast. New materials can be identified through the combination power of QAI.
In short, quantum computing is pitched and presented as a new frontier of computer science that will facilitate high-speed AI-based data processing. Such a unique capability is demanded for tackling complex problems. Quantum computers are a kind of supercomputers based on the principles of quantum mechanics. Therefore, big data processing gets simplified and speeded up significantly.
Contains the most recent developments at the intersection of Quantum Computing and Artificial Intelligence.
Covers both theoretical aspects and applications.
Articulates the research findings and the new possibilities.
Contents:
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