Quantum Geophysics and Artificial Intelligence: A New Approach for Geophysical Data Analysis

Rui A. P. Perdigão

Milton Halem, Craig Pelissier, Michael M. Little +1 more

Geetha Manoharan, Sanjeev Kumar

Data-driven selection changes corporate research. Quantum artificial intelligence (QAI) is changing business research. Quantum AI's processing power and ability to build sophisticated probabilistic models change hypothesis testing, data analysis, predictive modeling, and strategic vision. Quantum algorithms can increase quantitative and qualitative research accuracy, speed, and scalability. QAI on massive, unstructured data may reveal hidden styles, simulate complex market dynamics, and help researchers make faster, more informed business choices. QAI allows real-time optimization and multidimensional assessment in research, which conventional computer approaches cannot. The bankruptcy also investigates QAI's implications, morals, and organizational demands in academic and industry-led business research. It emphasizes transdisciplinary knowledge, virtual literacy, and agile study design to maximize growth. By combining quantum computers with business studies, this concept establishes a new paradigm for innovation and research.

Dipti Chauhan, Pragya Ranka, Pritika Bahad +1 more

Quantum Artificial Intelligence is an exciting new area, which integrates quantum computing with artificial intelligence (AI) in order to produce increasingly sophisticated and effective computational methods, models, and systems. The goal is to use quantum mechanics properties like superposition and entanglement to boost AI's computational power and speed. Quantum computers use quantum bits (qubits) to encode information, in contrast to classical computers, which run on binary digits (bits). Quantum computers can perform some computations faster than classical computers because qubits can exist in multiple states simultaneously. In order to achieve superior computational power in the field of artificial intelligence, this article emphasizes the importance of utilizing quantum mechanical principles. It also explores the potential uses of quantum AI, including machine learning, data analysis, and optimization issues. It deals with the state of art of semiconductors in Quantum computing.

Muhammad Sahimi, Pejman Tahmasebi

Mihai P. Datcu