Supporting End-Users in Realizing Quantum Computing Applications
summary
A toolkit called MQT provides concrete tools: MQT CuboMaker generates QUBO formulations and direct quantum circuits from constrained path problems (supports one‑hot/binary switches and a GUI), MQT Predictor picks devices via a classifier and compiles with a reinforcement‑learning mapper optimizing expected fidelity, and MQT Bench supplies a benchmark suite of 70,000 circuits across abstraction levels. All tools are open‑source on GitHub, resource‑estimation is available but full problem‑size vs classical crossover estimates remain work in progress.
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chapters (7)
- 0:00Supporting quantum end-users
- 2:56MQT toolkit introduction
- 4:00MQT Problem Solver workflow
- 7:30MQT Cubemaker encoding
- 10:40MQT Predictor compilation
- 13:09MQT Bench software
- 14:11Summary and future goals
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