[QDP] [feature] Pr6 tensor core acceleration#1389

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aloha1357 wants to merge 13 commits into

apache:mainfrom

aloha1357:pr6-tensor-core-acceleration

Commits on Jun 10, 2026

feat(qdp): introduce batch throughput optimization scaffolding for TC
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feat(qdp): introduce batch throughput optimization scaffolding for TC
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feat(qdp): introduce shared memory fused FWT for small qubit counts
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feat(qdp): restructure FWT into Kronecker decomposition blocked architecture
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chore: remove PR1 agent comments, trim kernel docs, add PR4 benchmark
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feat(qdp): implement Matrix-Free Implicit Hadamard Tensor Core engine
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chore(qdp): clean up agent comments and add independent PR5 benchmark script
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test(qdp): PR5 Ozaki TC benchmark, encode_batch_tc API, and GPU unit tests
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feat(qdp): hook AdaptiveOzakiEngine for mixed-precision graded-ring TC GEMM on non-Hadamard logic (PR6). Tests: wsl cargo test passed (0 failures). PR6 comments added.
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PR6: Implement Tensor Core acceleration for IQP encoding with operator fusion and Kronecker decomposition
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test(qdp): add PR6 TC benchmark, e2e encode-path option, and unit tests
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fix(qdp): remove duplicate encode_batch_tc PyO3 binding after rebase
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Commits on Jun 11, 2026

chore(qdp): remove dev-only PR micro-benchmarks and reports from code branch
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