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Comment on the paper "Random Quantum Circuits are Approximate 2-designs"

Igor Tuche Diniz, Daniel Jonathan

TL;DR

The note identifies a flaw in HL08a's Corollary 5.1, which claimed that a random quantum circuit reaches an approximate 2-design in $\Theta(n\log(n/\\varepsilon))$ steps based on a SST argument. It then presents an alternative, symmetry-based strategy that reduces the analysis to random transpositions, leveraging known results from Diaconis to show that the full Markov chain $P$ mixes in the same $\Theta(n\log(n/\\varepsilon))$ bound. By connecting a projected chain $Q$ to a transposition chain and proving equivalences between their mixing times, the authors restore the desired convergence result within the original circuit model. Consequently, the polynomial-time convergence of random circuits to approximate 2-designs is upheld, with the transpositions playing a central role in achieving mixing. The work clarifies the mechanism behind convergence and reinforces the relevance of symmetry and representation theory in analyzing quantum circuit randomness.

Abstract

In [A.W. Harrow and R.A. Low, Commun. Math. Phys. 291, 257-302 (2009)], it was shown that a quantum circuit composed of random 2-qubit gates converges to an approximate quantum 2-design in polynomial time. We point out and correct a flaw in one of the paper's main arguments. Our alternative argument highlights the role played by transpositions induced by the random gates in achieving convergence.

Comment on the paper "Random Quantum Circuits are Approximate 2-designs"

TL;DR

The note identifies a flaw in HL08a's Corollary 5.1, which claimed that a random quantum circuit reaches an approximate 2-design in steps based on a SST argument. It then presents an alternative, symmetry-based strategy that reduces the analysis to random transpositions, leveraging known results from Diaconis to show that the full Markov chain mixes in the same bound. By connecting a projected chain to a transposition chain and proving equivalences between their mixing times, the authors restore the desired convergence result within the original circuit model. Consequently, the polynomial-time convergence of random circuits to approximate 2-designs is upheld, with the transpositions playing a central role in achieving mixing. The work clarifies the mechanism behind convergence and reinforces the relevance of symmetry and representation theory in analyzing quantum circuit randomness.

Abstract

In [A.W. Harrow and R.A. Low, Commun. Math. Phys. 291, 257-302 (2009)], it was shown that a quantum circuit composed of random 2-qubit gates converges to an approximate quantum 2-design in polynomial time. We point out and correct a flaw in one of the paper's main arguments. Our alternative argument highlights the role played by transpositions induced by the random gates in achieving convergence.

Paper Structure

This paper contains 8 sections, 4 theorems, 44 equations, 1 table.

Key Result

Lemma 1

The mixing times $t_{mixQ}(\varepsilon)$ and $t_{mixP}(\varepsilon)$ are equal for all $\varepsilon>0$.

Theorems & Definitions (4)

  • Lemma 1
  • Lemma 2
  • Lemma 3
  • Lemma 4