A Practical Guide to Quantum Computing: Part 2 – Applying Quantum
In the second of our two-part series, we explore WWT's quantum experimentation, including results, enterprise insights and recommendations.
Executive summary
Continuing from Part 1 of A Practical Guide to Quantum Computing, which explored the current quantum ecosystem, SDKs, hardware providers and simulator environments, this second part focuses on WWT's hands-on experimentation and insights. Over a five-week internal R&D initiative, our Data Science team executed quantum experiments across AWS Braket and Azure Quantum platforms to evaluate real-world usability, cost efficiency and platform readiness for enterprise use. Based on these experiments, we offer our recommendations on platforms, hardware providers and workflows to execute practical quantum experiments.
Motivation and scope
With rapid advancements like Microsoft's Majorana chip and AWS' Ocelot processor, quantum computing is becoming more practical. In forming this initiative, WWT's Data Science team aimed to answer several key enterprise questions around adoption:
- How accessible is quantum technology today?
- What tools and platforms are available for experimentation?
- Are results consistent, accurate and meaningful?
- What does it take to set up and execute a quantum experiment?
These foundational questions are answered below, where we apply our conceptual understanding through real-world experiments across leading platforms.
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