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World Congress 2026 Europe • Jul 10, 2026 • Session details

Quantum DevOps - Enabling Industrial Engineering

Ilie-Daniel Gheorghe-Pop

How do you force unpredictable quantum hardware to meet zero-fault industrial standards? Learn how the Python-based Qrisp framework empowers classical developers to deploy quantum algorithms using familiar DevOps methodologies.

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#1 about 1 min

Aligning quantum computing with industrial engineering goals

Transitioning quantum computing from an experimental research field to industrial implementations requires aligning algorithms with strict factory processes.

#2 about 2 min

Contrasting deterministic factories with probabilistic quantum algorithms

The core challenge of industrial quantum computing lies in reconciling zero-fault tolerance demands with inherently probabilistic experimental results.

#3 about 2 min

Winning production engineer trust with classical development cycles

Applying classical engineering standards to emerging codebases reassures stakeholders that unpredictable hardware can still deliver certifiable reliability.

#4 about 2 min

Surpassing traditional timelines with advanced quantum hardware breakthroughs

Recent advancements in scalable error correction and dual-modality chips allow experimental systems to surpass traditional software processing ceilings.

#5 about 2 min

Piloting industry optimizations and enforcing post-quantum security updates

Early enterprise use cases span materials optimization while regulatory bodies actively update encryption standards against emerging decryption capabilities.

#6 about 2 min

Outsourcing specific operational planning sub-problems to quantum ecosystems

Factories lacking specialized physicists can integrate quantum computers by delegating narrow optimization constraints rather than overhauling entire resource architectures.

#7 about 1 min

Establishing robust testing lifecycles to offset specialized talent shortages

Implementing robust automated testing and benchmarking pipelines allows traditional software developers to safely manage probabilistic system outputs.

#8 about 2 min

Empowering enterprise developers by standardizing Python-based Qrisp frameworks

Standardizing a high-level programming syntax ensures that non-academic teams can deploy certifiable automation scripts across production floors.

Matching moments

1:49 min

Preparing enterprise technical stacks for the quantum era

John Fletcher John Fletcher +1 · World Congress 2026 Europe

8:17 min

Practical applications and hybrid solutions for quantum computing advantage

Alexander Glätzle Alexander Glätzle +3 · World Congress 2025

2:44 min

Introducing Eclipse Qrisp to classical developers

Matic Petrič Matic Petrič +1 · World Congress 2024

52 sec

Software development challenges in quantum computing ecosystems

Alex Waldherr Alex Waldherr · World Congress 2024

3:00 min

Leveraging large quantitative models for intermediate quantum advantage

Yuval Dvir Yuval Dvir +1 · World Congress 2026 Europe

3:09 min

Deploying noisy quantum machines and early enterprise algorithm development

Yuval Dvir Yuval Dvir +1 · World Congress 2026 Europe

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