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Trapped Ion Quantum Computing

Distributed Quantum Circuit Optimisation: Evaluating Global and Local encodings

arXiv
Authors: Maria Gragera Garces, Majid Haghparast

Year

2026

Paper ID

59988

Status

Preprint

Abstract Read

~2 min

Abstract Words

145

Citations

0

Abstract

As distributed quantum architectures begin to emerge, understanding the interaction between quantum circuit optimisation and circuit partitioning becomes increasingly important. In this work, we study how circuit optimisation influences distributed quantum workloads under system-level trade-offs. We compare three compilation strategies (global optimisation, local optimisation, and a hybrid approach) across a large benchmark suite of quantum algorithms. Using telegate-based partitioning, we evaluate the resulting distributed circuits in terms of gate counts, circuit depth, the number of induced non-local gates, and compilation overhead, thereby approximating computational, communication, and classical preprocessing costs. Our results show that circuit optimisation does not uniformly benefit distributed execution. Global optimisation minimises computational resources and achieves the lowest compilation overhead. Local optimisation can reduce communication cost even though it is not explicitly communication-aware. The hybrid strategy can simultaneously reduce both computational and communication overhead, but at the expense of significantly increased compilation time.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • As distributed quantum architectures begin to emerge, understanding the interaction between quantum circuit optimisation and circuit partitioning becomes increasingly important.

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Current Paper #59988 #69039 SAT, MaxSAT, and SMT for QLDPC ... #69038 Physically Constrained Ensemble... #69023 Scalable Quantum Algorithms for... #69016 Solution of the Equation-of-Mot...

External citation index: OpenAlex citation signal • updated 2026-06-13 23:34:15

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