Seminars
View all Seminars | Download ICal for this eventAutoQC: Automated Quantum Computing
Series: Department Seminar
Speaker: Dr. Aritra Sarkar, QuTech, Delft, Netherlands
Date/Time: Jun 10 16:00:00
Location: Online Seminar
Faculty Advisor:
Abstract:
Quantum system software is a crucial link between the mathematical abstractions of quantum algorithms and physical manipulations of quantum hardware. To ensure quantum advantage, it is important to design the quantum firmware and identify system-level bottlenecks holistically. The choices made in the various layers of the system stack can significantly boost or restrict the capabilities of quantum algorithms and processors. This discussion will explore a project on optimizing the quantum compiler, microarchitecture, and control system. Specifically, we will delve into techniques based on algorithmic information theory that can synergize with quantum information theory for enhancing full-stack quantum computation. Furthermore, we will examine how artificial intelligence-driven methods, such as concept discovery and reinforcement learning, streamline this formidable task of optimizing the firmware for near-term quantum systems.
This is an online seminar and the team\'s meeting link is: https://tinyurl.com/AritraSarakar-Talk/
Speaker Bio:
Aritra Sarkar is a postdoctoral researcher in the Quantum Machine Learning research group at QuTech. He received his Bachelor of Technology in Avionics from the Indian Institute of Space Science and Technology. Previously, he worked as a scientist at India\'s national space agency, ISRO, where he developed codes orbiting Earth on more than 10 satellites and 2 of his codes orbiting the moon on the Chandrayaan missions. In 2016, he switched gears from the vastness of outer space to the tiny world of quantum when he joined the Quantum and Computer Engineering master program at TU Delft. He was one of the first researchers at QuTech to focus on quantum algorithms and their influence on quantum system design. In his current work, Aritra is invested in optimizing system software and control architectures for quantum computers.
Host Faculty: R Govindarajan