Quantum DevOps - Quantum Application Development

The biggest hurdle in quantum computing isn't physics—it's hardware instability. Learn the DevOps practices for building applications on today's powerful but noisy quantum machines.

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Why quantum computing is the successor to Moore's Law

As classical transistors reach their physical limits due to quantum tunneling, new metrics and computing paradigms like quantum are required for continued progress.

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Understanding quantum complexity and computation models

Quantum computing operates on probabilistic principles within its own complexity class (BQP) to solve specific problems more efficiently than classical computers.

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A brief history of quantum hardware development

Key milestones in quantum computing hardware are traced from early algorithms in the 1980s to the recent multi-qubit chips from IBM, Google, and others.

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Navigating the modern quantum computing industry landscape

The quantum ecosystem consists of hardware manufacturers, cloud providers offering quantum access, software companies, and end-users in sectors like finance and aerospace.

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How to program quantum computers using circuit models

Quantum programming involves arranging gates in a circuit, similar to a music sheet, which requires knowledge of quantum physics and linear algebra to build effective algorithms.

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Introducing the core principles of Quantum DevOps

Quantum DevOps extends the classical CI/CD pipeline with a critical evaluation step to assess algorithm compatibility and performance on specific, error-prone quantum backends.

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Standardizing quantum benchmarks with the DIN SPEC

The DIN SPEC 91480 provides a standardized set of KPIs and benchmarks to evaluate and compare the performance of different quantum hardware and algorithms.

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A detailed look at the quantum development workflow

The quantum software development lifecycle requires collaboration between mathematicians and physicists, involving unique steps like circuit translation and simulation before running on real hardware.

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The future of quantum and getting started today

While practical utility is targeted for 2030, accessible tools like Crisp make it easier than ever for developers to start exploring and implementing quantum algorithms.