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ECE PhD Proposal Review: Tirthak Patel

October 14, 2021 @ 12:00 pm - 1:00 pm

PhD Proposal Review: Toward System Software Stack for NISQ–era Quantum Computers

Tirthak Patel

Location: Zoom Link

Abstract: Despite rapid progress in quantum computing in the last decade, the limited usability of quantum computers remains a major roadblock toward the wider adoption of quantum computing. Prohibitively high error rates on existing Near-term Intermediate-Scale Quantum (NISQ) computers limit their usability even for quantum-advantage-proven algorithms (that is, algorithms that are infeasible or orders of magnitude slower on classical computers). As a result, the executions of these algorithms on existing quantum computers are highly erroneous and produce noisy program outputs. Currently, quantum computing programmers lack system software tools and methods to estimate the correct output from these erroneous executions.

This dissertation demonstrates how to extract correct program output from noisy executions on today’s erroneous quantum computers. In particular, this dissertation describes the design and implementation of a suite of cross-layer system software for extracting meaningful output from the erroneous executions using hardware-level quantum pulse control, noise-aware quantum compilation, and post-execution error mitigation. The real-system prototypes and experimental evaluation on IBM quantum computers demonstrate how specific quantum mechanics properties, hardware-level pulse control, and post-execution statistical processing can be put together to improve the usability of today’s quantum computers transparently. This dissertation achieves this without requiring user intervention, domain knowledge about quantum algorithms, or additional quantum hardware support.

This dissertation opens up new research avenues for hybrid quantum-classical computing and lowers the barrier to entry for quantum computing research via open-sourcing multiple novel datasets and system software frameworks (independently verified and results reproduced by other researchers in the community).


October 14, 2021
12:00 pm - 1:00 pm


Electrical and Computer Engineering
MS/PhD Thesis Defense