Quantum Applications with Classiq
summary
Classiq converts a high‑level functional model into an optimized logical circuit via a synthesis engine that emits QASM/Cirq/Q# and targets any device topology, requiring only a Python SDK and low‑code IDE or prebuilt blocks for common tasks like Grover. A Rolls‑Royce/NVIDIA use case generates a 39 qubit circuit whose QPE segment exceeds a million gates and the full design tops over 10 million gates, simulated on an NVIDIA cluster. Platform integrates cloud creds for execution but does not inject noise models, instead minimizing logical depth.
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chapters (10)
- 0:00Introduction
- 1:24Quantum programming challenge
- 2:51Classiq’s abstraction
- 5:49Python SDK and IDE
- 7:36Grover’s algorithm demo
- 9:43Democratizing quantum computing
- 11:09Rolls-Royce and Nvidia use case
- 12:57Largest quantum circuit simulation
- 13:20Free access for researchers
- 14:04Q&A
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