An Overview of Quantum Computing

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Course Credit: 0.15 CEU, 1.5 PDH

We are on the verge of a second quantum revolution, building on the one that occurred in the last century. The first revolution involved manipulating groups of quantum particles like electrons and photons, which led to the development of technologies such as transistors and lasers that completely transformed the world. The second revolution, which began in the 1980s and has gained momentum in recent years, is expected to be even more transformative. It involves manipulating individual quantum particles and utilizing the quantum phenomena of superposition, entanglement, and interference. This leads to the development of three new technologies: quantum computing, quantum communications, and quantum sensing.

Worldwide investment in such technologies has surpassed $30 billion from public and private sources. Most of the investment is in quantum computing, and it is expected to create new simulation capabilities that could lead to groundbreaking advancements in fields like chemistry and materials science. The potential economic value from quantum computing is estimated to be between $620 billion and $1.27 trillion across four industries – chemicals, life sciences, finance, and automotive – by 2035.

This presentation aims to introduce you to this exciting and rapidly advancing field. We’ll start by outlining the present state of technology development and then discuss some details. We will examine how a quantum algorithm is constructed to help you understand its unique characteristics, limitations, and potential to significantly improve the performance of some applications and generate entirely new applications.

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Course Chapters

1An Overview of Quantum Computing - Chapter 1
Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

Madhava SyamlalDr. Madhava Syamlal is the CEO and founder of QubitSolve, a startup working on a quantum soluOon for computaOonal fluid dynamics (CFD). He holds a B.Tech in chemical engineering from the Indian InsOtute of Technology (BHU), Varanasi, and an MS and Ph.D. from the Illinois InsOtute of Technology, Chicago. He's a former Senior Fellow for ComputaOonal Sciences and Engineering at the US DOE's NaOonal Energy Technology Lab. He significantly contributed to CFD theory and numerical techniques in open-source and commercial so]ware. He's known for creaOng MFIX, a widely used mulOphase CFD so]ware. Dr. Syamlal was the founding Technical Director of DOE’s Carbon Capture SimulaOon IniOaOve, a $48 million project that developed so]ware tools for low-carbon energy technologies. He led the MFIX-Exa project, an applicaOon developed under DOE’s Exascale CompuOng Project. He is a fellow of the American InsOtute of Chemical Engineers (AIChE) and the American AssociaOon for the Advancement of Science. He has received several awards, including R&D 100 awards, the DOE Secretary’s Achievement Honor Award, Illinois Tech Alumni Professional Achievement Award, and AIChE’s 2020 Elsevier PTF Award for LifeOme Achievements.

T. S. RamakrishnanT. S. Ramakrishnan is a retired senior scientific advisor from Schlumberger-Doll Re-search. He was also a research director and scientific advisor responsible for carbon storage, and enhanced and unconventional recovery previously. He has a B.Tech. (ChE) from IIT Delhi and a Ph.D. (ChE) from Illinois Institute of Technology, Chicago. He has published papers in the fields of multicomponent/multiphase flow, formation and well testing, measurement of capillary pressure, relative permeability, and resistivity, array induction logging, carbonate petrophysics, NMR, intelligent completions, nonlinear differential equations, capillary dynamics, dissolution driven instabilities, carbon storage, gravity tongues and alloy-based plug and abandonment. He has also co-authored a book on Formation Testing that was published in 2021. Ramakrishnan was a distinguished lecturer of Society of Petroleum Engineers (SPE) in 2005-6, elected a distinguished member of SPE in 2003, and received the Formation Evaluation award in 2009. His research papers won the Henri-Doll award of Schlumberger in 1995 and 1997, and the SPWLA best paper award in 1998. His B.Tech. thesis was given the Acharya P.C. Ray national award. In 2012, he was presented the Charles W. Pierce distinguished alumni award at IIT Chicago. He was also elected a distinguished alumnus of IIT Delhi in 2013. In 2023, he was elected to the National Academy of Engineering. He has 77 granted U.S. patents.