Global Quantum Physic Expert, Lead of Deep Quantum Labs, Skolkovo Institute of Science and Technology
Speaking topics
› Quantum Computing from Science to Business
Abstracts
Quantum technology is set to accelerate a wide class of horizontally enabling technology domains. This includes quantum enhanced algorithms for machine learning and a wide class of materials science applications. These algorithms represent early-stage technology and are ripe to be applied and tested on enterprise applications. What industries will be the first successful early adopters? What challenges remain? How fast is the technology moving? This talk surveys the state of the art in quantum enhanced technologies, it explains to the lay person some key workings behind quantum processors and gives some analysis of the technologies current and future impact on business.
Bio note
Prof. Jacob Biamonte is an American theoretical physicist, a quantum comput scientist He is Associate Professor and the Lead of Deep Quantum Labs at Skolkovo Institute of Science and Technology Prof. Biamonte has made several contributions to the theory and implementation of quantum computers He was employed as one of the world’s first quantum software programmers at D Wave Systems Inc in Vancouver B C Canada From this work, he published several celebrated proofs establishing the computational universality of specific quantum many body ground states used in adiabatic quantum computing He played a central role in developing aspects of contemporary quantum computing theory, including research recognized as pioneering the emerging field that unites quantum information with complex network theory and machine learning Prof. Biamonte earned an award winning Doctorate at the University of Oxford His collective research was recognized in 2013 with the Shapiro Award in Mathematical Physics. He has advised both government agencies and industry and leads several successful interdisciplinary research teams and projects, comprised of students and research staff with backgrounds spanning physics, mathematics and computer science He supervised several extraordinarily talented postdocs, two of which are now Assistant Professors Prof. Biamonte serves on the editorial boards of several journals including NJP, he is an invited member of the Foundational Questions Institute and 2018 USERN Medal Laureate He has authored several celebrated works on the theory and implementation of quantum information processing, including research recognized as pioneering the emerging field that unites quantum information with complex network theory and machine learning.
