aiqbench analysis
The paper uses a superconducting quantum processor to probe a deconfined quantum critical point, a physics question that has been studied mostly numerically. The authors combine imaginary-time-evolution state preparation with tensor-network-compressed shallow circuits, and they calibrate a noise model to explain the hardware's reduced amplitudes. For quantum readers, the main takeaway is a concrete benchmark of what current noisy devices can resolve in a many-body system, with the caveat that the results depend on small system sizes and a device-specific noise model.
Probing Deconfined Quantum Criticality Point on a Digital Quantum Computer
arXiv:2610.21761v1 Announce Type: cross Abstract: A deconfined quantum critical point (DQCP) is a continuous transition between ordered phases with unrelated broken symmetries, beyond the Landau-Ginzburg-Wilson paradigm. In one dimension, such a transition between a $z$-polarized ferromagnet (zFM) and a valence-bond solid (VBS) is well established numerically in a frustrated spin-$1/2$ chain. Here we ask whether a superconducting quantum processor can resolve this transition and its signatures despite finite-size effects and device noise. The ground states are prepared by ancilla-projected quantum imaginary-time evolution (QITE), whose exact target states are compressed by tensor-network optimization into shallow depth quantum circuits. The hardware data distinguish the phases through their order parameters, spin and dimer correlations, structure factors, correlation ratios, and snapshot distributions. The crossing of the order parameters locates the transition, and its finite-size extrapolation lies close to the thermodynamic-limit value obtained from large-scale numerics. A noise model based on the device calibration accounts quantitatively for the reduced amplitudes measured on hardware. Our findings demonstrate that a Landau-forbidden transition between competing orders can be resolved on current quantum processors.
Abstract:A deconfined quantum critical point (DQCP) is a continuous transition between ordered phases with unrelated broken symmetries, beyond the Landau-Ginzburg-Wilson paradigm. In one dimension, such a transition between a $z$-polarized ferromagnet (zFM) and a valence-bond solid (VBS) is well established numerically in a frustrated spin-$1/2$ chain. Here we ask whether a superconducting quantum processor can resolve this transition and its signatures despite finite-size effects and device noise. The ground states are prepared by ancilla-projected quantum imaginary-time evolution (QITE), whose exact target states are compressed by tensor-network optimization into shallow depth quantum circuits. The hardware data distinguish the phases through their order parameters, spin and dimer correlations, structure factors, correlation ratios, and snapshot distributions. The crossing of the order parameters locates the transition, and its finite-size extrapolation lies close to the thermodynamic-limit value obtained from large-scale numerics. A noise model based on the device calibration accounts quantitatively for the reduced amplitudes measured on hardware. Our findings demonstrate that a Landau-forbidden transition between competing orders can be resolved on current quantum processors.
14 pages, 15 figures. Comments are welcome
Strongly Correlated Electrons (cond-mat.str-el); Quantum Gases (cond-mat.quant-gas); Quantum Physics (quant-ph)
arXiv:2610.21761 [cond-mat.str-el]
(or arXiv:2610.21761v1 [cond-mat.str-el] for this version)
https://doi.org/10.48550/arXiv.2610.21761 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 278 words
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