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EfficientSU2 → efficient_su2, QFT → synth_qft_full, Permutation → PermutationGate - Removed Quantum Volume benchmark (outdated) - Added requirement: `pip install 'qiskit-ibm-transpiler[ai-local-mode]'` - Revised tutorial narrative to reference local AI passes instead of QTS - Switched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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miamico
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Nov 13, 2025
- Replaced backend selection with service.least_busy(...) for flexibility - Updated markdown text to remove device-specific references - Added note explaining that transpilation may differ across backends
abbycross
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Nov 17, 2025
abbycross
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Nov 17, 2025
abbycross
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Nov 17, 2025
abbycross
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abbycross
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abbycross
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abbycross
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abbycross
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Nov 17, 2025
| "\n", | ||
| "2. Apply permutations:\n", | ||
| " We generate five random permutation patterns (`pattern_1` through `pattern_5`) using a fixed seed (42) for reproducibility. Each permutation pattern is applied to a separate quantum circuit (`qc_1` through `qc_5`).\n", | ||
| " We generate five random permutation patterns (`pattern_1` through `pattern_10`) using a fixed seed for reproducibility. Each permutation pattern is applied to a separate quantum circuit (`qc_1` through `qc_10`).\n", |
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Is this now ten random permutation patterns?
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@henryzou50 whenever you have a minute please check Abby's comment. We should be close to finishing this up! |
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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