When
Tuesday, December 3, 2024 – 10:00 a.m.
Andrew Glaudell
Staff Quantum Error Correction Researcher
Fault Tolerance Team Lead Photonic, Inc.
"Distributed Quantum Computing in Silicon with Time-Efficient QLDPC Codes"
ECE 530 | Zoom link
Abstract: Despite great efforts, researchers have not identified any quantum algorithms with commercial utility that can be run on quantum computers with fewer than hundreds to thousands of logical qubits. Due to the physical limitations of both existing and proposed architectures, the clearest path to achieving such a utility scale system is a horizontally scalable distributed architecture based on networked modules. The T centre, a defect centre in silicon, is uniquely suited to this endeavor. The same qubit properties that enable distributed quantum computing at scale also unlock the ability to utilize exciting new families of error-correcting codes called QLDPC codes which promise to reduce physical qubit overheads. However, challenges remain when adapting protocols for performing logic in these codes, particularly due to increased time overheads. We discuss the origins of these overheads, propose criteria for circumventing them, and outline some upcoming results which show that these criteria can be satisfied in practice.
Biography: Dr. Andrew Glaudell heads the theory efforts of the fault-tolerance team at Photonic, Inc. Graduating with his doctorate from QuICS at the University of Maryland – College Park, Andrew’s graduate work focused on developing quantum compiling algorithms over fault tolerant gate sets. During his time with Booz Allen Hamilton where he consulted with the US government, Andrew’s research became increasingly focused on illuminating the deep connections between algebras over number rings and the basic operations of fault-tolerant quantum computers. These efforts culminated in introducing catalytic embeddings, a framework for extending the set of exactly synthesizable circuits over countable gate sets. Since moving on to Photonic, his interests have shifted towards using many of the same mathematical tools to advance the theory of fault-tolerant computing in quantum error correction codes, especially quantum LDPC codes, with the hopes of easing the resource requirements for utility scale error corrected quantum computation.