Building Quantum Computers with Python: Hardware Design Lessons
summary
A Python library called GDSFactory is used to design photonic and quantum chips and generate foundry-ready GDS files (not just sketches). It supports an open quantum PDK and an open core with paid support, reports 4 million downloads, 100+ contributors, 250 ready components, 43 foundries supported, and claims about 200× faster workflows than legacy EDA with examples like simulated resonator arrays (eight qubits) where per-resonator simulation takes on the order of ten minutes.
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chapters (16)
- 0:00Introduction
- 1:10GDS Factory library
- 3:22Quantum chip design demo
- 5:06Superconducting qubit challenges
- 6:52Achievements and business model
- 7:32Q&A on business model
- 8:56Quantum circuit simulation
- 10:26Qubits vs classical bits
- 12:32Quantum computer state of the art
- 14:56Photonic tech and scalability
- 16:42Quantum error correction
- 18:17AI and parallel processing
- 20:41QPUs and GPUs coexistence
- 22:06Python chip design accessibility
- 23:32Real-time QPU processing
- 25:03GDS Factory as chip language
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