Title: Arithmetic Circuits For Quantum Computing
Abstract:Quantum algorithm is an algorithm that runs on a realistic model of quantum computation. Quantum circuits of arithmetic operations are vital in designing quantum hardware for Shor’s factoring algorithm, solving discrete log problem and quantum cryptanalysis, securing cryptosystems, and circuit design of quantum algorithms. Quantum arithmetic circuits are widely used in quantum algorithms for quantum image orientation, pattern recognition and template matching. The quantum arithmetic circuits are vital to design circuits for scientific computing and quantum algorithms such as Poisson equation, linear systems of equations HHL, and Quantum Rejection Sampling. This talk will discuss quantum circuits for arithmetic functions with multi-metric constraints and quantum circuits for basic image processing based on proposed arithmetic circuits.
Associate professor Himanshu Thapliyal is an Endowed Faculty Fellow, and co-director of the Cybersecurity Certification Program of University of Kentucky. He earned phD from University of South Florida. He has authored journal/articles with H-index=38 and received Best Paper awards at 2021 IEEE International Conference on Consumer Electronics, 2020 IEEE World Forum on IoT, 2017 Cyber and Information Security Research Conference and 2012 IEEE Computer Society Annual Symposium on VLSI. He received NSF CAREER award. He has ranked top 50 scientists in Computer Hardware & Architecture in 2019. He co-founded IEEE International Workshop on Quantum Computing: Circuits Systems Automation & Applications. He is an editor of Springer Nature Computer Science, IEEE Consumer Electronics Magazine, IEEE IoT Journal, and editorial board member of Microelectronics Journal. He is leading Quantum Computing and Emerging Technologies & Emerging Trends in Sensors, IoT and Smart Systems sections. His interests: circuit design of quantum computing, emerging technologies, hardware security of IoT and vehicles, and smart healthcare.
Anna Gueorguieva is an undergraduate at UC, Berkeley, studying Data Science and Legal Studies. Her interests involve machine learning and data science of human contexts, ethics and law. Her research focused on HCI and building software. Currently, she works on ethnographic research to develop the curriculum for data science research with an emphasis on ethics and social contexts. She works on projects to implement predictive analytics into the undergraduate advising department.
Matthew Weiss is a writer with interest in quantum computing and physics. He attended Brown University and Iowa Writers Workshop. He runs Brooklyn Quantum Meetup. His physics essays are at https://heyredhat.github.io/.