Skip to content
DraconiticResearch
Search Sources API
186,541 studies31 sourcesUpdated 48 min ago
PreprintarXiv licencearXiv

Chern-number estimation: nearly optimal quantum algorithm and provable quantum speedup

Abstract

Topological phases of matter are characterized by global properties of quantum states beyond conventional local order parameters. The Chern number is a central invariant in this characterization, linking the geometry of quantum states to robust physical observables and making its determination key to understanding quantum matter. We construct a nearly optimal quantum algorithm for estimating the Chern number of a smooth Hamiltonian family over a two-dimensional parameter torus with a unique, gapped ground state, including interacting many-body systems. The algorithm transports and reuses two ground-state copies prepared at a single reference point and uses generalized quantum signal processing to coherently accumulate geometric phases. It achieves a Hamiltonian-oracle evolution time of Õ(LxLy/Δmin3), where Lx,Ly bound the parameter derivatives of the Hamiltonian and Δmin is a known spectral-gap lower bound. We prove a matching worst-case oracle lower bound, even when the Chern number is promised to be zero or one, establishing optimality up to polylogarithmic factors. For local Hamiltonian families with an inverse-polynomial gap and a supplied guiding state, exact Chern-number computation is in FBQP and is BQP-hard, and merely deciding whether the Chern number is zero or one is already BQP-complete. These results establish how efficiently quantum computers can estimate a quantized topological invariant and provide evidence for quantum advantage in characterizing topological phases.

Related

  1. Mirror subspace diagonalization: a real-time quantum Krylov algorithm with near-optimal sampling cost
    Shota Kanasugi, Yuya O. Nakagawa, Norifumi Matsumoto +3
    npj Quantum InformationPeer-reviewedCC BY-NC-ND 4.0Full textQuantum physics & quantum informationCrossref
  2. Compiling the 2D Fermi-Hubbard ground-state energy estimation algorithm for active volume quantum architectures
    Harriet Apel, Athena Caesura, Carys Harvey +11
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  3. An Optimal Quantum Linear Systems Algorithm
    Carlos Bravo-Prieto, Aram W. Harrow, Robin Kothari
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  4. Measurement-dependent reduction of open dynamics in the quantum phase estimation algorithm: the visible subspace and the damped Fejér kernel
    Marina O. Gordeichuk, Oleg M. Kiselev
    arXivPreprintarXiv licenceFull textMathematical physicsNumerical analysis & scientific computingarXiv
  5. Toward Efficient End-to-End Quantum Elliptic PDE Solvers: a Multilevel Correction Algorithm for Direct Observable Estimation
    Xiantao Li
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
BibTeX
@misc{imamura2026chernnumber,
  title = {{Chern-number estimation: nearly optimal quantum algorithm and provable quantum speedup}},
  author = {Soichiro Imamura and Shintaro Ae and Kazuki Sakamoto and Ryu Hayakawa and Chusei Kiumi},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.35978},
  eprint = {2609.35978},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.35978},
}
RIS
TY  - UNPB
TI  - Chern-number estimation: nearly optimal quantum algorithm and provable quantum speedup
AU  - Soichiro Imamura
AU  - Shintaro Ae
AU  - Kazuki Sakamoto
AU  - Ryu Hayakawa
AU  - Chusei Kiumi
PY  - 2026
DA  - 2026/09/28
PB  - arXiv
DO  - 10.48550/arxiv.2609.35978
UR  - https://arxiv.org/abs/2609.35978
AB  - Topological phases of matter are characterized by global properties of quantum states beyond conventional local order parameters. The Chern number is a central invariant in this characterization, linking the geometry of quantum states to robust physical observables and making its determination key to understanding quantum matter. We construct a nearly optimal quantum algorithm for estimating the Chern number of a smooth Hamiltonian family over a two-dimensional parameter torus with a unique, gapped ground state, including interacting many-body systems. The algorithm transports and reuses two ground-state copies prepared at a single reference point and uses generalized quantum signal processing to coherently accumulate geometric phases. It achieves a Hamiltonian-oracle evolution time of Õ(L_xL_y/Δ_min^3), where L_x,L_y bound the parameter derivatives of the Hamiltonian and Δ_min is a known spectral-gap lower bound. We prove a matching worst-case oracle lower bound, even when the Chern number is promised to be zero or one, establishing optimality up to polylogarithmic factors. For local Hamiltonian families with an inverse-polynomial gap and a supplied guiding state, exact Chern-number computation is in FBQP and is BQP-hard, and merely deciding whether the Chern number is zero or one is already BQP-complete. These results establish how efficiently quantum computers can estimate a quantized topological invariant and provide evidence for quantum advantage in characterizing topological phases.
ER  -