- This event has passed.
Talk: Quantum Information Science and Technology Based on Novel Applications of Meta-Complex Numbers
October 26, 2023 @ 11:00 am - 5:00 pm
Title: Quantum Information Science and Technology Based on Novel Applications of Meta-Complex Numbers.
Speaker: V. Sreenivas, Senior Principal Scientist, Council of Scientific and Industrial Research, Government of India
Time/Date: 11AM on Thursday, October 26th, 2023
Location: SF 2104
Abstract: The field of Quantum Information Science and Technology (QIST) brings together two major advances of the 20th century: quantum mechanics and information technology. Quantum mechanics is the most accurate theory in science, which describes the world at its most basic level. Information technology gave rise to the computer, digital communication and other devices that have transformed how we live. When we combine quantum mechanics and information technology we get QIST, which will harness the power of quantum mechanics and bring a radical new era of technology.
The Schrödinger equation is a key result in quantum mechanics and its discovery (1925) was a significant landmark in the development of the subject. However, this equation was derived using imaginary numbers, which necessitates a probabilistic as against a deterministic solution since no physical significance could be attributed to complex numbers unlike real numbers. However, this approach has posed a major challenge to the interpretation and application of quantum mechanics such as (1) Cat paradox, (2) EPR Paradox, (3) Measurement Problem, (4) Wave Function Collapse, (5) Classical-Quantum Dichotomy, (6) Bohr-Einstein Debate and (7) the Uncertainty Principle. Quantum Superposition and Entanglement are two core concepts that have not been completely understood due to the underlying mathematics and physics, which cannot be explained using common sense reasoning.
A modified approach that uses meta-complex numbers is proposed in order to overcome most of these problems by attributing the real and imaginary components to subtle causes and their gross effects in explaining any phenomena. This will help extend the benefits of quantum mechanics far and wide into areas such as Mathematical Modeling, Information Processing, Data Science, Quantum Computing, Artificial Intelligence of Everything and Remote Viewing.
Bio: V. Sreenivas did his Chemical Engineering at the Indian Institute of Technology before joining the Council of Scientific and Industrial Research in 1995. As a Senior Principal Scientist, he has been involved in more than 175 research and consultancy projects related to Industrial Safety and Risk Analysis. He has been working on the Foundations of Quantum Mechanics since 1993 and did his Doctoral Thesis on the Applications of Quantum Intelligence of Things to Managing Operations and Safety in Chemical Process Industries. His research interests include Mathematical Modeling, Nonlinear Equations, Industrial Internet of Things, Quantum Computing, Accident Investigation and Analysis.
Host: Arno Jacobsen
