Quantum & High-Performance Computing in The Cloud
summary
Company builds a cloud service that blends classical HPC and future quantum backends, converting a six hour overnight risk job into a five minute API call by spinning up 1,500 machines with six cores each and aggregating results. Uses Python SDK, C++ numerics, AWS Lambda/Step Functions and CI improved with Bazel. Demonstrates a rewritten algorithm after three months of corner case testing, targets quantum use via Grover search for combinatorial finance and chemistry problems.
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chapters (25)
- 0:00Intro
- 0:34Quantum effects become relevant
- 1:59Quantum mechanics
- 3:15Quantum bits
- 4:46Platforms
- 5:50Superconducting circuits
- 7:51Trapped ions
- 8:44Rydberg atoms
- 10:24QuBits
- 12:23Use case: Quantum chemistry
- 13:54Use case: Penicillin
- 14:32Use case: Logistics
- 15:42Use case: Finance
- 16:57Quantum computing in DK
- 18:15Kvantify
- 22:56Deep dive: first project
- 24:22Timeline
- 24:54Tech stack
- 26:09Architecture
- 27:00CI/CD
- 29:33Enter Bazel
- 30:42Robustness
- 32:11Testing
- 33:28Final solution
- 35:50Outro
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