✨ Extend the QCO DD classical interpreter - #2078
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@coderabbitai full review |
✅ Action performedFull review finished. |
📝 WalkthroughSummary by CodeRabbit
WalkthroughThe QCO decision diagram utilities now support bound parameters, typed classical values, one-dimensional memrefs, dynamic qubits, qtensors, expanded QCO and SCF control flow, non-recursive calls, simulation, and sampling. ChangesQCO decision diagram execution
Estimated code review effort: 5 (Critical) | ~120 minutes Merge Risk: 🔵 Low · up to The interpreter adds dynamic tensor inputs and broader state handling; oversized direct C++ tensor extents may consume host memory before capacity checks, and inserting into an occupied tensor slot may omit a live wire from returned results. The PR is mergeable with explicit owner awareness and follow-up for these bounded risks. Sequence Diagram(s)sequenceDiagram
participant Caller
participant simulate
participant prepare
participant WalkState
participant DecisionDiagram
Caller->>simulate: provide input state and DDBindings
simulate->>prepare: prepare qubit and qtensor arguments
prepare-->>simulate: return PreparedState
simulate->>WalkState: execute function body
WalkState->>DecisionDiagram: apply gates and runtime allocations
DecisionDiagram-->>simulate: return updated state
simulate-->>Caller: return simulated VectorDD
Suggested reviewers: Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 3.57% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 84 functions across 3 files. (1 skipped: 1 unsupported.) Full details: Description checkExplanation The description provides a detailed summary, scope, validation results, AI disclosure, and completed checklist. It covers the required template information and removes the issue placeholder because no issue is claimed. Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
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Actionable comments posted: 1
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Inline comments:
In `@mlir/lib/Dialect/QCO/Utils/DDFunctionality.cpp`:
- Around line 1367-1369: Update the InsertOp handling around the TensorSlots
assignment to check whether the target slot is already occupied before writing
output[static_cast<size_t>(*index)]. Reject the operation with a diagnostic when
occupied, and preserve the existing bind path only for empty slots.
ℹ️ Review info
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Run ID: 795c6539-99ed-4e8d-9d78-0c225eaedc35
📒 Files selected for processing (4)
CHANGELOG.mdmlir/include/mlir/Dialect/QCO/Utils/DDFunctionality.hmlir/lib/Dialect/QCO/Utils/DDFunctionality.cppmlir/unittests/Dialect/QCO/Utils/test_dd_functionality.cpp
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Assisted-by: GPT-5.6 via Codex
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Assisted-by: GPT-5.6 via Codex
Assisted-by: GPT-5.6 via Codex
Preserve exact MLIR attributes for classical runtime values, validate argument bindings during preparation, reject uninitialized memrefs and non-finite parameters, and transfer QTensor state without repeated slot copies. Assisted-by: GPT-5.6 via Codex
Restore the conservative entry-block measurement classifier, centralize the shared execution budget, and remove speculative QTensor terminal-use analysis and repetitive coverage. Assisted-by: GPT-5.6 via Codex
Add an OpenQASM compiler-to-sampler regression for a measurement-controlled while loop and condense the QCO DD changelog entry. Assisted-by: GPT-5.6 via Codex
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Dismissed because CodeRabbit explicitly withdrew its sole finding after confirming that occupied qtensor.insert replacement is valid dialect behavior.
Exercise the remaining producer-backed integer and floating-point handlers through the existing observable memref call path. Assisted-by: GPT-5.6 via Codex
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burgholzer
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Thanks @simon1hofmann for the work on this. I pushed a couple of simplifications and briefly skimmed through the entire implementation which looks quite reasonable now.
I still have the feeling that we are slightly reinventing the wheel here to some degree as we are building our own interpreter. But this will have to do for the v4.0 milestone. Let's look into potentially improving this as part of v4.1 🙌🏼
Feel free to merge whenever you are also happy with the changes.
Reuse MLIR folding for behavior-equivalent arithmetic while retaining explicit handling where fold semantics differ. Remove verifier-redundant guards and consolidate regression coverage. Assisted-by: GPT-5.6 via Codex Signed-off-by: Simon Hofmann <simon.t.hofmann@tum.de>
Trust verifier and runtime-map type invariants while preserving MLIR folding retries. Cover the valid multi-block scf.execute_region rejection. Assisted-by: GPT-5.6 via Codex Signed-off-by: Simon Hofmann <simon.t.hofmann@tum.de>
Thanks a lot for your work in this 🙏🏻 |
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Yeah, looks all good! Tagging for auto-merge! |
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Summary
Extends the QCO DD interpreter on top of #2077 while preserving its sampling, ownership, and error-handling contracts.
scf.while, region-carried values, and non-recursive calls.DDArgumentBindingsAPI for exact-typed scalar entry arguments and dynamic QTensor extents.f64arithmetic, and static and dynamic one-dimensional scalar memrefs; loads from uninitialized cells fail.This is layer 3 of the QCO DD functionality stack, following #1915, #1973, and #2077.
Scope
The containing module must already be verified and pass QCO linearity checks. Functions and supported SCF regions must have single-block bodies, recursive calls are rejected, and loop iterations, executed branches, and calls share one 10,000-step execution budget.
Validation
mainat62cf1554cwith Simon's authorship preserved.git diff --checkpassed.7b3a199f, insertions shrank from 2,073 to 2,024 overall, 1,223 to 1,177 in production, and 850 to 847 in tests.GPT-5.6 via Codex materially assisted with implementation, testing, review, and stack restructuring under maintainer direction. Maintainer review remains required.
Checklist
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