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The Space Just Above BQP Adam Bouland Based on joint work with Scott Aaronson, Joseph Fitzsimons and Mitchell Lee arXiv: 1412:6507 ITCS 16 Quantum Computers Quantum Computers CAN efficiently Factor integers [Shor] CANNOT


  1. The Space ‟Just Above” BQP Adam Bouland Based on joint work with Scott Aaronson, Joseph Fitzsimons and Mitchell Lee arXiv: 1412:6507 ITCS ‘16

  2. Quantum Computers

  3. Quantum Computers… CAN efficiently • Factor integers [Shor] CANNOT efficiently • Solve black-box NP-hard problems [BBBV] – Searching N item list takes θ (N^1/2) time • Solve black-box SZK-hard problems [Aaronson]

  4. Image credit: Scott Aaronson

  5. Quantum Mechanics 1. State is vector 2. Unitary Evolution: 3. Measurement “Wavefunction Collapse”

  6. Quantum Mechanics What happens to the power quantum computing if we perturb these axioms?

  7. Modifying QM • Non-unitary evolution [Abrams-Lloyd],[Aaronson] • Measurement based on p-norm for p!=2 [Aaronson] Allow for superluminal signaling!

  8. Modifying QM • Non-unitary evolution [Abrams-Lloyd],[Aaronson] • Measurement based on p-norm for p!=2 [Aaronson] Make QC too powerful!

  9. Modifying QM • Non-unitary evolution [Abrams-Lloyd],[Aaronson] • Measurement based on p-norm for p!=2 [Aaronson] Make QC too powerful!

  10. Modifying QM

  11. Modifying QM Challenge: Is there any modification of QM that boosts the power of quantum computing to something SMALLER than PP? Yes (if you’re careful)

  12. Modifying QM Challenge: Is there any modification of QM that boosts the power of quantum computing to something SMALLER than PP NP? Yes (if you’re careful)

  13. Non-Collapsing Measurements Sample “Wavefunction Collapse”

  14. Non-Collapsing Measurements

  15. Non-Collapsing Measurements Collapsing Measurement Can measure same collapsed state multiple times

  16. Non-Collapsing Measurements CQP “Collapse - free Quantum Polynomial time” naCQP “non - adaptive CQP” Quantum circuit must be non-adaptive to the non-collapsing measurement outcomes

  17. Non-Collapsing Measurements How powerful are these classes? A: naCQP is “just above” BQP

  18. Results The class naCQP: • Can solve SZK in poly-time – BQP cannot do this in black box manner – O such that naCQP^O BQP^O • Can search in O(N^1/3) time • Search requires Ω (N^1/4) time – O such that NP^O naCQP^O • In BPP^PP

  19. Summary

  20. Summary

  21. Relation to Prior work Aaronson ‘05: QC with Hidden Variable Theories “DQP” Imagine a hidden variable theory is true, and you “see” hidden variables of your system as it evolves

  22. Relation to Prior work Ω (N^1/3)

  23. Don’t bet on this model just yet! • FTL Signaling (if adaptive) • No notion of query complexity • Can clone if circuit adaptive – Perfect cloning-> #P [Bao B. Jordan ‘15] – Imperfect cloning -> ???

  24. Open Problems

  25. Questions ?

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