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qSHIFT: An Adaptive Sampling Protocol for Higher-Order Quantum Simulation

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
abstract

Quantum simulation is a cornerstone application for quantum computing, yet standard methods face a trade-off between circuit depth and accuracy: Trotterization depth scales with the number of Hamiltonian terms $L$, while sampling-based qDRIFT is restricted to $O(t^2)$ error scaling. Here, We introduce qSHIFT, an adaptive sampling protocol that overcomes these limitations. By adaptively updating sampling distributions, qSHIFT maintains $L$-independent gate complexity while achieving an improved error scaling of $O(t^{1+r})$ for an adjustable parameter $r$. This performance is enabled by a classical subroutine solving $L^r$ linear equations per sampling round. Numerical demonstrations confirm the $O(t^{1+r})$ scaling, showcasing qSHIFT as a resource-efficient framework for high-precision quantum simulation. Furthermore, the protocol's reduced circuit depth enhances its compatibility with physical error mitigation, making it a promising candidate for implementation on near-term quantum devices. In addition to its role as a standalone algorithm, qSHIFT can provide a high-precision foundation for modular quantum frameworks such as qSWIFT or Krylov quantum diagonalization.

fields

quant-ph 2

years

2026 2

representative citing papers

Quantum Channel Polynomial Processing

quant-ph · 2026-07-07 · conditional · novelty 6.0

QCPP implements polynomial transformations of Hamiltonians via stochastic mixtures of unitary channels, achieving a tunable tradeoff between query and sample complexity.

citing papers explorer

Showing 2 of 2 citing papers.

  • Quantum Channel Polynomial Processing quant-ph · 2026-07-07 · conditional · none · ref 30 · internal anchor

    QCPP implements polynomial transformations of Hamiltonians via stochastic mixtures of unitary channels, achieving a tunable tradeoff between query and sample complexity.

  • Mitigating Trotter Errors via Post-Processed Symmetry Restoration quant-ph · 2026-06-18 · unverdicted · none · ref 61 · internal anchor

    Symmetry-based classical post-processing projects out Trotter error components that violate symmetries while preserving ideal dynamics in quantum simulations.