Update AI transpiler tutorial for local mode, revised benchmarks, and Qiskit API updates #4227
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… refreshed benchmarks - Converted tutorial to use local mode with `generate_ai_pass_manager` instead of the Transpiler Service - Updated circuit generation: EfficientSU2 → efficient_su2, QFT → synth_qft_full, Permutation → PermutationGate - Removed Quantum Volume benchmark (outdated) - Added requirement: `pip install 'qiskit-ibm-transpiler[ai-local-mode]'` - Revised tutorial narrative to reference local AI passes instead of QTS - Switched backend to ibm_torino (133 qubits) and adjusted circuit sizes accordingly - Simplified benchmarking workflow using the new `transpile_with_metrics` helper function - Reran experiments and updated results, plots, and commentary - Removed ACG synthesis path and increased the number of circuits for more stable averages
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This PR overhauls the AI transpiler tutorial following the migration of the Transpiler Service and recent improvements in Qiskit’s standard transpiler stack. In addition to resolving issue #3631 , it updates the tutorial to work entirely in local mode, refreshes benchmarks and analysis, and aligns the notebook with the latest Qiskit APIs and documentation.
Key changes:
generate_ai_pass_managerinstead of the Transpiler Servicepip install 'qiskit-ibm-transpiler[ai-local-mode]'ibm_torino(133 qubits) and adjusted circuit sizes accordinglytranspile_with_metricshelper and updated benchmarking codeResolves: #3631