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Quantum Machine Learning

Quantum circuits of c - Z and SWAP gates optimization and entanglement

arXiv
Authors: Marc Bataille, Jean-Gabriel Luque

Year

2018

Paper ID

24297

Status

Preprint

Abstract Read

~2 min

Abstract Words

40

Citations

N/A

Abstract

We have studied the algebraic structure underlying the quantum circuits composed by cZ and Swap gates. Our results are applied to optimize the circuits and to understand the emergence of entanglement when a circuit acts on a fully factorized state.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • We have studied the algebraic structure underlying the quantum circuits composed by cZ and Swap gates.

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Current Paper #24297 #69034 Hardware-aware Low-latency Quan... #69025 Machine-Learning Optimization a... #69003 QBugLM: An Agentic Benchmarking... #68993 Tomography of quantum states wi...

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