Quantum Telescoping Part VI: Hybrid Classical–Quantum Telescoping

This paper studies hybrid classical–quantum telescoping schemes for Hamiltonian simulationand quantum channel approximation. Building on the telescoping framework and fault-tolerantanalysis developed in Parts I–V, we formalize how classical preprocessing, optimization, andadaptivity can reduce constants, improve practical performance, and guide refinement strategies,while leaving fundamental telescoping order unchanged. We prove that classical computationcan optimize telescoping constants and resource allocation but cannot asymptotically improveconvergence rates beyond quantum lower bounds. We establish separation theorems distinguishingconstant-factor improvements from asymptotic scaling, provide explicit hybrid algorithmswith optimized constants, and analyze the interplay between classical learning and quantumexecution in fault-tolerant regimes. These results clarify the precise role of hybrid methodsand explain why classical–quantum co-design is essential for near-term implementations yetasymptotically bounded by quantum information-theoretic limits.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-04
DOI
https://doi.org/10.5281/zenodo.18484023
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Quantum Telescoping Part VI: Hybrid Classical–Quantum Telescoping

Joshua Bald
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
article

Quantum Telescoping Part VI: Hybrid Classical–Quantum Telescoping

Joshua Bald
article en

Abstract

This paper studies hybrid classical–quantum telescoping schemes for Hamiltonian simulationand quantum channel approximation. Building on the telescoping framework and fault-tolerantanalysis developed in Parts I–V, we formalize how classical preprocessing, optimization, andadaptivity can reduce constants, improve practical performance, and guide refinement strategies,while leaving fundamental telescoping order unchanged. We prove that classical computationcan optimize telescoping constants and resource allocation but cannot asymptotically improveconvergence rates beyond quantum lower bounds. We establish separation theorems distinguishingconstant-factor improvements from asymptotic scaling, provide explicit hybrid algorithmswith optimized constants, and analyze the interplay between classical learning and quantumexecution in fault-tolerant regimes. These results clarify the precise role of hybrid methodsand explain why classical–quantum co-design is essential for near-term implementations yetasymptotically bounded by quantum information-theoretic limits.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 68%
Quantum Computing Algorithms and Architecture
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Quantum Telescoping Part VI: Hybrid Classical–Quantum Telescoping — Joshua Bald · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS