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arxiv: 2507.17871 · v3 · pith:GQ5S7WXT · submitted 2025-07-23 · quant-ph · cond-mat.stat-mech· cond-mat.str-el· physics.comp-ph

Shallow quantum circuit for generating extremely low-entangled approximate state designs

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classification quant-ph cond-mat.stat-mechcond-mat.str-elphysics.comp-ph
keywords quantumstatesepsilonapproximatecircuitclassicalstateapplications
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Random quantum states have various applications in quantum information science. We discover a new ensemble of quantum states that serve as an $\epsilon$-approximate state $t$-design while possessing extremely low entanglement, magic, and coherence. These resources can reach their theoretical lower bounds, $\Omega(\log (t/\epsilon))$, which are also proven in this work. This implies that for fixed $t$ and $\epsilon$, entanglement, magic, and coherence do not scale with the system size, i.e., $O(1)$ with respect to the total number of qubits $n$. Moreover, we explicitly construct an ancilla-free shallow quantum circuit for generating such states by transforming $k$-qubit approximate state designs into $n$-qubit ones without increasing the support size. The depth of such a quantum circuit, $O(t [\log t]^3 \log n \log(1/\epsilon))$, is the most efficient among existing algorithms without ancilla qubits. A class of quantum circuits proposed in our work offers reduced cost for classical simulation of random quantum states, leading to potential applications in quantum information processing. As a concrete example, we propose classical shadow tomography using an estimator with superpositions between only two states, from which almost all quantum states can be efficiently certified by requiring only $O(1)$ measurements and classical post-processing time.

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  1. Sample- and Hardware-Efficient Fidelity Estimation by Stripping Phase-Dominated Magic

    quant-ph 2026-02 unverdicted novelty 6.0

    Phase stripping reduces target-state magic to enable O(poly(n)) or O(1) sample fidelity estimation for phase-dominated states using a single fan-out gate plus nonlinear Pauli post-processing.