Analog Quantum Inspired Computers

#tcd

We are pleased to announce that Professor Michael Flynn will visit the EEE Dept, on Monday 10th November. Professor Flynn is the Fawwaz T Ulaby Collegiate Professor of Electrical and Computer Engineering at the University of Michigan

Quantum-inspired computers use classical analog electronics to provide the key
benefits of quantum computing but with orders of magnitude lower cost,
complexity, and energy consumption. Recently, these physics-inspired
computing platforms have shown significant potential in accelerating the solution
of combinatorial optimization problems (COPs). We use CMOS oscillators
instead of qubits and leverage continuous-time operation, massive parallelism,
and direct mapping to coupled CMOS-based spins. These systems leverage the
natural dynamics of coupled oscillators to rapidly converge to COP solutions,
resulting in substantial improvements in solution time and energy. Our team has
demonstrated CMOS integrated-circuit SAT (satisfiability) and LDPC (Low
Density Parity Check) solvers with record energy efficiency. These solvers have
applications in logistics, drug discovery, and communications.

Michael Flynn is the Fawwaz T Ulaby Collegiate Professor of Electrical and
Computer Engineering at the University of Michigan. He received the M.Eng.Sc.
and B.E. degree from UCC and the Ph.D. degree from Carnegie Mellon
University. He is a Guggenheim Fellow and a Fellow of the IEEE. Dr. Flynn
received the 2024 Semiconductor Industry Association University Researcher
Award. He received the Rackham Distinguished Graduate Mentoring Award in
2020 and the University of Michigan Faculty Achievement Award in 2016. Dr.
Flynn was Editor-in-Chief of the IEEE Journal of Solid-State Circuits from 2013 to
2016.

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• CADLAB, 2nd Floor
• Trinity College Dublin
• Dublin, Dublin
• Ireland
• Building: AAP
• Room Number: 2.28

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