Random quantum circuits are approximate unitary $t$-designs in depth $O\left(nt^{5+o(1)}\right)$
Jonas Haferkamp

TL;DR
This paper improves the theoretical understanding of how deep random quantum circuits need to be to approximate unitary t-designs, reducing the depth from previous bounds and employing advanced mathematical techniques.
Contribution
It provides a tighter lower bound on the spectral gap of moment operators, leading to a more efficient depth estimate for random quantum circuits to form approximate t-designs.
Findings
Lower bound on spectral gap improved to 54(n^{-1}t^{-4-o(1)})
Random quantum circuits generate approximate t-designs in depth O(nt^{5+o(1)})
Proved fast convergence to Haar measure for certain random Clifford unitaries.
Abstract
The applications of random quantum circuits range from quantum computing and quantum many-body systems to the physics of black holes. Many of these applications are related to the generation of quantum pseudorandomness: Random quantum circuits are known to approximate unitary -designs. Unitary -designs are probability distributions that mimic Haar randomness up to th moments. In a seminal paper, Brand\~{a}o, Harrow and Horodecki prove that random quantum circuits on qubits in a brickwork architecture of depth are approximate unitary -designs. In this work, we revisit this argument, which lower bounds the spectral gap of moment operators for local random quantum circuits by . We improve this lower bound to , where the term goes to as . A direct consequence of this scaling is that random…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Random Matrices and Applications · Mathematical Approximation and Integration
