A Hybrid Computing Ecosystem For Practical Quantum Advantage
As quantum computing transforms from lab curiosity to technical reality, we must unlock its full potential to enable meaningful benefits on real-world applications with imperfect quantum technology. Achieving this vision requires computer architects to play a key role, leveraging classical computing principles to build and facilitate a hybrid computing ecosystem for practical quantum advantage.
First, I will introduce my four research thrusts toward building this hybrid ecosystem: Classical Application Transformation, Adaptive Noise Mitigation, Scalable Error Correction and Efficient Resource Management.
Second, from the Classical Application Transformation thrust, I will present ‘CAFQA: A classical simulation bootstrap for variational quantum algorithms’, which enables accurate classical initialization for VQAs by searching efficiently through the classically simulable portion of the quantum space with Bayesian Optimization. CAFQA recovers as much as 99.99% of the accuracy lost in prior state-of-the-art classical initialization, with mean improvements of 56x.
Third, from the Scalable Error Correction thrust, I will present ‘Clique: Better than worst-case decoding for quantum error correction’, which proposes the Clique QEC decoder for cryogenic quantum systems. Clique is a lightweight cryo-decoder for decoding and correcting common trivial errors, so that only the rare complex errors are handled outside the cryo-refrigerator. Clique eliminates 90-99+% of the cryo-refrigerator I/O decoding bandwidth, while supporting more than a million physical qubits.
Finally, I will conclude with an overview of other prior and ongoing work, along with my future research vision toward practical quantum advantage.
Dr. Gokul Ravi
University of Chicago
Date: February 21, 2023 at 10:15 AM
Location: EB2 3211
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