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Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution

Quantum Physics 2024-06-05 v1 Numerical Analysis Numerical Analysis

Abstract

The preparation of the ground state of a Hamiltonian HH with a large spectral radius has applications in many areas such as electronic structure theory and quantum field theory. Given an initial state with a constant overlap with the ground state, and assuming that the Hamiltonian HH can be efficiently simulated with an ideal fast-forwarding protocol, we first demonstrate that employing a linear combination of unitaries (LCU) approach can prepare the ground state at a cost of O(log2(HΔ1))\mathcal{O}(\log^2(\|H\| \Delta^{-1})) queries to controlled Hamiltonian evolution. Here H\|H\| is the spectral radius of HH and Δ\Delta the spectral gap. However, traditional Quantum Signal Processing (QSP)-based methods fail to capitalize on this efficient protocol, and its cost scales as O(HΔ1)\mathcal{O}(\|H\| \Delta^{-1}). To bridge this gap, we develop a multi-level QSP-based algorithm that exploits the fast-forwarding feature. This novel algorithm not only matches the efficiency of the LCU approach when an ideal fast-forwarding protocol is available, but also exceeds it with a reduced cost that scales as O(log(HΔ1))\mathcal{O}(\log(\|H\| \Delta^{-1})). Additionally, our multi-level QSP method requires only O(log(HΔ1))\mathcal{O}(\log(\|H\| \Delta^{-1})) coefficients for implementing single qubit rotations. This eliminates the need for constructing the PREPARE oracle in LCU, which prepares a state encoding O(HΔ1)\mathcal{O}(\|H\| \Delta^{-1}) coefficients regardless of whether the Hamiltonian can be fast-forwarded.

Keywords

Cite

@article{arxiv.2406.02086,
  title  = {Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution},
  author = {Yulong Dong and Lin Lin},
  journal= {arXiv preprint arXiv:2406.02086},
  year   = {2024}
}

Comments

25 pages, 6 figures

R2 v1 2026-06-28T16:52:35.728Z