Breakthrough in Quantum Computing: Achieving Advantage with Ultra-Deep Noisy Circuits π§
Discover how Quynh Nguyen from Harvard demonstrates quantum computational supremacy using polyloglog-depth noisy circuits, pushing the boundaries of quantum algorithm efficiency and fault tolerance.

Simons Institute for the Theory of Computing
209 views β’ Jun 18, 2025

About this video
Quynh Nguyen (Harvard University)
https://simons.berkeley.edu/talks/quynh-nguyen-harvard-university-2025-05-28
Quantum Algorithms, Complexity, and Fault Tolerance Reunion
In the standard local stochastic noise model, we construct a fully-quantum fault tolerance protocol with polyloglog depth overhead (and polylog-space). Our protocol is fully quantum in the sense that it does not assume noiseless auxiliary classical computation and adaptivity. The main component in our construction is a procedure of incorporating classical fault tolerance to remove these assumptions from a current protocol of Nguyen and Pattison. When applied to constant-depth IQP circuits, this allows us to conclude (under complexity-theoretic assumptions) that sampling from noisy quantum circuits of polyloglog-depth gives a superpolynomial quantum advantage.
https://simons.berkeley.edu/talks/quynh-nguyen-harvard-university-2025-05-28
Quantum Algorithms, Complexity, and Fault Tolerance Reunion
In the standard local stochastic noise model, we construct a fully-quantum fault tolerance protocol with polyloglog depth overhead (and polylog-space). Our protocol is fully quantum in the sense that it does not assume noiseless auxiliary classical computation and adaptivity. The main component in our construction is a procedure of incorporating classical fault tolerance to remove these assumptions from a current protocol of Nguyen and Pattison. When applied to constant-depth IQP circuits, this allows us to conclude (under complexity-theoretic assumptions) that sampling from noisy quantum circuits of polyloglog-depth gives a superpolynomial quantum advantage.
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Views
209
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3
Duration
36:51
Published
Jun 18, 2025
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