Efficient quantum pseudorandomness under conservation laws
Zimu Li, Han Zheng, Zi-Wen Liu
TL;DR
The paper addresses the problem of efficiently generating symmetric quantum pseudorandomness under continuous conservation laws, focusing on unitary $2$-designs in the presence of $U(1)$ and $SU(d)$ symmetries. It introduces Convolutional Quantum Alternating (CQA) ensembles and analyzes their second-moment operators using representation theory (Schur–Weyl duality, Young diagrams, YJM elements), Wick projections, and Markov-chain methods, proving polynomial-depth convergence to symmetric $2$-designs. The results provide explicit depth bounds across various interaction topologies (1D nearest-neighbor, star, complete graphs) and symmetry settings, establishing a rigorous, symmetry-preserving route to $2$-designs with wide potential applications, including covariant quantum error-correcting codes. This work resolves a long-standing open problem and supplies a practical framework for studying symmetric random circuits in quantum information and many-body physics.
Abstract
The efficiency of locally generating unitary designs, which capture statistical notions of quantum pseudorandomness, lies at the heart of wide-ranging areas in physics and quantum information technologies. While there are extensive potent methods and results for this problem, the evidently important setting where continuous symmetries or conservation laws (most notably U(1) and SU(d)) are involved is known to present fundamental difficulties. In particular, even the basic question of whether any local symmetric circuit can generate 2-designs efficiently (in time that grows at most polynomially in the system size) remains open with no circuit constructions provably known to do so, despite intensive efforts. In this work, we resolve this long-standing open problem for both U(1) and SU(d) symmetries by explicitly constructing local symmetric quantum circuits which we prove to converge to symmetric unitary 2-designs in polynomial time using a combination of representation theory, graph theory, and Markov chain methods. As a direct application, our constructions can be used to efficiently generate near-optimal covariant quantum error-correcting codes, confirming a conjecture in [PRX Quantum 3, 020314 (2022)].
