Recursive Clifford Noise Reduction
ORAL
Abstract
Clifford noise reduction (CliNR) is a partial error correction scheme that reduces the logical error rate of Clifford circuits at the cost of a modest qubit and gate overhead.
Here, we propose recursive version of CliNR that has better performance when the circuits are very large. For an n-qubit Clifford of size s implemented with noise rate p, recursive CliNR can achive a vanishing logical error rate as long as np → 0. The implementation has a size overhead that's at most quartic in sp.
Using numerical simulations, we show that the recursive method can offer an advantage in a realistic near-term parameter regime. When circuit sizes are large enough, recursive CliNR can reach a lower logical error rate than the original CliNR with the same gate overhead. The results offer promise for reducing logical errors in quantum circuits with large Clifford blocks.
Here, we propose recursive version of CliNR that has better performance when the circuits are very large. For an n-qubit Clifford of size s implemented with noise rate p, recursive CliNR can achive a vanishing logical error rate as long as np → 0. The implementation has a size overhead that's at most quartic in sp.
Using numerical simulations, we show that the recursive method can offer an advantage in a realistic near-term parameter regime. When circuit sizes are large enough, recursive CliNR can reach a lower logical error rate than the original CliNR with the same gate overhead. The results offer promise for reducing logical errors in quantum circuits with large Clifford blocks.
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Publication: Paper to be submitted in the near future.
Presenters
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Aharon Brodutch
- IonQ