Quantum Advantage with Shallow Circuits Under Arbitrary Corruption
Atsuya Hasegawa, Fran\c{c}ois Le Gall

TL;DR
This paper demonstrates a quantum advantage in shallow circuits even when a large fraction of qubits are arbitrarily corrupted, showing quantum circuits can solve problems that classical shallow circuits cannot efficiently solve under such noise.
Contribution
It establishes a quantum advantage with shallow circuits under arbitrary qubit corruption, a setting more challenging than previous noise models.
Findings
Quantum circuits solve certain problems in constant depth despite corruption.
Classical shallow circuits require logarithmic depth to solve large subproblems.
Expander graph properties enable extracting hard subproblems from corrupted quantum outputs.
Abstract
Recent works by Bravyi, Gosset and K\"onig (Science 2018), Bene Watts et al. (STOC 2019), Coudron, Stark and Vidick (QIP 2019) and Le Gall (CCC 2019) have shown unconditional separations between the computational powers of shallow (i.e., small-depth) quantum and classical circuits: quantum circuits can solve in constant depth computational problems that require logarithmic depth to solve with classical circuits. Using quantum error correction, Bravyi, Gosset, K\"onig and Tomamichel (Nature Physics 2020) further proved that a similar separation still persists even if quantum circuits are subject to local stochastic noise. In this paper, we consider the case where any constant fraction of the qubits (for instance, huge blocks of qubits) may be arbitrarily corrupted at the end of the computation. We make a first step forward towards establishing a quantum advantage even in this extremely…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
