aiqbench analysis
This research rigorously establishes that polynomial-sized baths in dual-unitary circuits are sufficient to form approximate quantum state designs, resolving previous gaps regarding convergence rates at finite sizes. By interpreting emergent randomness through microscopic transport and defects, the study bridges rigorous mathematical physics with the theory of quantum walks. These findings advance foundational understanding of how complexity and randomness emerge in specific quantum circuit architectures.
Finite-bath projected ensembles in dual-unitary circuits
arXiv:2610.06754v1 Announce Type: new Abstract: We study the emergent randomness in projected ensembles generated by dual-unitary circuits. Specifically, we consider evolution by solvable dual-unitary brickwork circuits followed by measurements on part of the system, which induce an ensemble of states on the unmeasured subsystem. Previous work has established that this projected ensemble of states forms a quantum state design in the limit where the bath size is large, but the rate of convergence at finite bath size has not been rigorously established. Under three inverse-polynomial assumptions, local permutation mixing, a bound on recurrent backward motion, and contraction at the measured boundary, we fill this gap and prove that a bath of polynomial size suffices to form approximate $k$-designs. In establishing our results, we develop a microscopic transport interpretation of emergent randomness in the projected ensemble, in which deviations from local permutation operators appear as defects, and make connections with the theory of quantum walks.
Abstract:We study the emergent randomness in projected ensembles generated by dual-unitary circuits. Specifically, we consider evolution by solvable dual-unitary brickwork circuits followed by measurements on part of the system, which induce an ensemble of states on the unmeasured subsystem. Previous work has established that this projected ensemble of states forms a quantum state design in the limit where the bath size is large, but the rate of convergence at finite bath size has not been rigorously established. Under three inverse-polynomial assumptions, local permutation mixing, a bound on recurrent backward motion, and contraction at the measured boundary, we fill this gap and prove that a bath of polynomial size suffices to form approximate $k$-designs. In establishing our results, we develop a microscopic transport interpretation of emergent randomness in the projected ensemble, in which deviations from local permutation operators appear as defects, and make connections with the theory of quantum walks.
Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech); Mathematical Physics (math-ph)
arXiv:2610.06754 [quant-ph]
(or arXiv:2610.06754v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.06754 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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