arXiv Artificial Intelligence

Regression and Classification with Single-Qubit Quantum Neural Networks

1 day ago 12.08.2026 07:00 👁 2 views
Regression and Classification with Single-Qubit Quantum Neural Networks

Quick summary

arXiv:2412.09486v2 Announce Type: replace-cross Abstract: The literature reflects a mutually beneficial relationship between machine learning and quantum computing, where progress in one field frequently drives improvements in the other. Motivated by the rich connection between these areas, we use a resource-efficient and scalable Single-Qubit Quantum Neural Network (SQQNN) for both regression and classification tasks using a new data uploading technique. The SQQNN leverages parameterized single-qubit unitary operators and quantum measurements to achieve efficient learning. To train the model,

Key takeaways

  • arXiv:2412.09486v2 Announce Type: replace-cross Abstract: The literature reflects a mutually beneficial relationship between machine learning and quantum computing, where progress in one field frequently drives improvements in the other.
  • Motivated by the rich connection between these areas, we use a resource-efficient and scalable Single-Qubit Quantum Neural Network (SQQNN) for both regression and classification tasks using a new data uploading technique.
  • The SQQNN leverages parameterized single-qubit unitary operators and quantum measurements to achieve efficient learning.

Why it matters

“Regression and Classification with Single-Qubit Quantum Neural Networks” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗