QUDAPI: Efficient Data Pipeline in Quantum-enhanced Cloud Computing
Meerzhan
Kanatbekova
QUDAPI: Efficient Data Pipeline in Quantum-enhanced Cloud Computing
Förderjahr 2025 / Stipendium Call #20 / Stipendien ID: 8052
Hybrid Classical-Quantum Cloud Computing (HCQCC) can solve complex problems efficiently but faces high costs, limited qubits, and heavy data exchange between classical and quantum systems. This research proposes QUDAPI, an efficient quantum data pipeline that compresses classical data before quantum transformation, reducing data transfer, internet bandwidth use, and preserving solution accuracy in HCQCC.
Uni | FH [Universität]
Technische Universität Wien
Themengebiet
Distributed Systems
,
Online-Plattformen
,
Systemintegration
Zielgruppe
Start-ups
,
Student:innen
,
Techniker:innen
Gesamtklassifikation
Cloud Service
,
Dissertation | PhD
,
Proof of Concept
Technologie
Cloud Service
,
Python