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Weighted Context-Free-Language Ordered Binary Decision Diagrams

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Introduces WCFLOBDDs, a hierarchically structured, weighted BDD with a procedure-call mechanism that is canonical and supports polynomial-time operations; proves worst-case separations (best-case double-exponential compression over decision trees and exponential savings over weighted BDDs); implements the data structure and applies it to quantum-circuit simulation where, with a 15-minute timeout, handled qubits are 1–64× that of WBDDs (and 1–128× that of CFLOBDDs), with artifacts available and results reproduced.

AI-written summary · about

  1. 0:00Weighted CFG OBDDs intro
  2. 1:47Need for weighted CFG OBDDs
  3. 3:32Decision trees to weighted BDDs
  4. 5:17Weighted BDD properties
  5. 6:44Hierarchy in weighted CFG OBDDs
  6. 9:08Why they are called context-free language OBDDs
  7. 11:17Compression vs other structures
  8. 13:22Algorithms for weighted CFG OBDDs
  9. 14:47Quantum simulation app
  10. 16:56Q&A: Other apps & limits
  11. 17:40Q&A: Relaxing grammar for scalability
  12. 18:02Q&A: Circuit structures for compression
  13. 19:07Q&A: Variable ordering challenges
  14. 20:34Conclusion & future work
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