Data loading in hybrid classic-quantum computing
QUDAPI: Efficient Data Pipeline in Quantum-enhanced Cloud Computing
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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