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This study establishes that the circuit complexity of random quantum circuits grows almost linearly with time, significantly improving previous lower bounds by a polynomial factor without relying on convergence to high-order unitary designs. By leveraging stochastic calculus and geometric functional analysis, the research provides a more robust theoretical framework for understanding the incompressibility of quantum states over exponentially long timescales.
Surse care acoperăarXiv, Quantum Computing Report, Quantum Zeitgeist, Latent Space
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One Gate at a Time: Complexity Growth in Random Quantum Circuits

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2609.17457v1 Announce Type: new Abstract: A random unitary quantum circuit is expected to be incompressible for exponentially long times. We show that the constant-error circuit complexity of a random unitary circuit grows almost linearly with time as $\Omega(T/\log T)$. The bound holds for all $2\leq T\leq 4^n$ where $n$ is the system size, and involves no other $n$-dependence. This improves previous lower bounds derived from spectral gaps and unitary designs by a factor of $\mathrm{poly}(n)$. Drawing on insights from stochastic calculus, geometric functional analysis, and randomized linear algebra, our approach exploits the circuit's response to variations of individual gates and requires no control over convergence to high-order unitary designs.

Abstract:A random unitary quantum circuit is expected to be incompressible for exponentially long times. We show that the constant-error circuit complexity of a random unitary circuit grows almost linearly with time as $\Omega(T/\log T)$. The bound holds for all $2\leq T\leq 4^n$ where $n$ is the system size, and involves no other $n$-dependence. This improves previous lower bounds derived from spectral gaps and unitary designs by a factor of $\mathrm{poly}(n)$. Drawing on insights from stochastic calculus, geometric functional analysis, and randomized linear algebra, our approach exploits the circuit's response to variations of individual gates and requires no control over convergence to high-order unitary designs.

arXiv:2609.17457 [quant-ph]

(or arXiv:2609.17457v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.17457 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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