TL;DR
This paper establishes theoretical foundations for demonstrating quantum supremacy with near-term quantum devices, analyzing the hardness of quantum sampling, proposing algorithms, and exploring complexity-theoretic implications.
Contribution
It introduces a natural hardness assumption for quantum sampling, analyzes classical simulation algorithms, and resolves open problems related to quantum supremacy theorems and oracle models.
Findings
Hardness assumption implies classical algorithms can't pass certain statistical tests
New polynomial-space, sub-exponential-time simulation algorithm for quantum circuits
Quantum supremacy theorems require non-relativizing proofs
Abstract
In the near future, there will likely be special-purpose quantum computers with 40-50 high-quality qubits. This paper lays general theoretical foundations for how to use such devices to demonstrate "quantum supremacy": that is, a clear quantum speedup for some task, motivated by the goal of overturning the Extended Church-Turing Thesis as confidently as possible. First, we study the hardness of sampling the output distribution of a random quantum circuit, along the lines of a recent proposal by the the Quantum AI group at Google. We show that there's a natural hardness assumption, which has nothing to do with sampling, yet implies that no efficient classical algorithm can pass a statistical test that the quantum sampling procedure's outputs do pass. Compared to previous work, the central advantage is that we can now talk directly about the observed outputs, rather than about the…
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