Full-stack challenges of bridging quantum chips up to scalable quantum co-processor heterogeneous architectures: The art of multidisciplinary science

Description

Professor Carmen G. Almudéver presented current challenges in quantum computing and described how multidisciplinary science is working toward solutions. Quantum computers promise to solve a certain set of hard problems that are intractable for even the most powerful current supercomputers. Remarkable progress has been made in recent years in quantum hardware, and quantum computation in the cloud is already a reality, offering small quantum processors that are capable of handling basic quantum algorithms. IT behemoths such as Google, Intel, Microsoft, and IBM, along with numerous research groups, are working on building the first universal quantum computer. Building such a quantum system requires bridging quantum algorithms and quantum processors, the professor noted.

Almudéver first presented the state of the art in quantum computing, emphasizing the main challenges, which include improvement and scalability of quantum processors, classical control electronics at (possibly) cryogenic temperatures, and definition of a heterogeneous quantum computer architecture. She then discussed the system architecture, focusing on making quantum computing fault-tolerant, and the compilation of quantum circuits. In the last part of the talk, she presented her vision on how the research community could accelerate the process toward building such a scalable quantum machine, potentially through vertical cross-layer co-design structured methodologies, and possible applications, particularly quantum-enhanced deep-learning co-processors.

Period	17 Oct 2019
Event title	IBM IEEE CAS/EDS 2nd AI Compute Symposium
Event type	Conference
Conference number	2
Location	Yorktown Heights, United States, New York