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The Collision Lower Bound After 12 Years

The Collision Lower Bound After 12 Years. Lower bound for a collision problem. Scott Aaronson (MIT). January 2002: As a grad student, I visit Israel for the first time, and give a talk at HUJI about the collision lower bound, which I’d proved a couple months prior.

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The Collision Lower Bound After 12 Years

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  1. The Collision Lower Bound After 12 Years Lower bound for a collision problem Scott Aaronson (MIT)

  2. January 2002: As a grad student, I visit Israel for the first time, and give a talk at HUJI about the collision lower bound, which I’d proved a couple months prior. Avi Wigderson urges me to get to the point faster Plan of talk: What is the collision lower bound? What’s new in the last decade? What open problems remain?

  3. Black-Box Quantum Computation

  4. Black-Box Quantum Computation Given a function f:[n][m], want to determine some property of f: e.g. is it periodic? Crucial assumption: we can only learn about f by making “quantum queries”; no internal access Some Well-Known Examples: Grover search (is there an x such that f(x)=1?):(n) queries to f are necessary and sufficient Periodicity of f:O(1) queries suffice Models how many quantum algorithms actually work Between 2 queries, can apply arbitrary unitary transformation independent of f “Complexity” = Minimum number of queries used by optimal algorithm that succeeds w.h.p. for every f

  5. Interesting The Collision Problem Given a 2-to-1 function f:[n][n], find a collision (i.e., two inputs x,y such that f(x)=f(y)) 10 4 1 8 7 9 11 5 6 4 2 10 3 2 7 9 11 5 1 6 3 8 Variant: Promised that f is either 2-to-1 or 1-to-1, decide which Models the breaking of collision-resistant hash functions—a central problem in cryptanalysis “Birthday Paradox”: Classically, (n) queries to f are necessary and sufficient to succeed with high probability

  6. Brassard-Høyer-Tapp (1997): O(n1/3) quantum collision-finding algorithm Grover’s algorithm over n2/3 f(x) values Do I collide with any of the pink values? n1/3 f(x) values, queried classically, sorted for fast lookup

  7. Could there be a quantum collision-finding algorithm that made only O(1) queries to f? “Almost!” Measure 2nd register “We’re not looking for a needle in a haystack—just for two identical pieces of hay!” Observation: Every 1-to-1 function differs from every 2-to-1 function in at least n/2 places So we can’t use, e.g., the optimality of Grover to rule out a fast quantum algorithm for the collision problem

  8. 1 0 What eventually worked was thepolynomial method (Beals et al. 1998) So, how can we rule out a superfast quantum collision-finder?

  9. Let Lemma: If a quantum algorithm makes T queries to f, the probability p(f) that it accepts is a degree-2T polynomial in the (x,h)’s Now let be the expected acceptance probability on a random k-to-1 function

  10. The Miracle: q(k) is itself a polynomial in k, of degree at most 2T

  11. d1 d2 d3 d Why? Technicality: What if k doesn’t divide n? My way to resolve that technicality (+ Markov’s Inequality) led to an (n1/5) quantum lower bound which is a degree-d polynomial in k. That’s why.

  12. Improvements Shi 2002:(n1/4) (n1/3) lower bound, but only for f:[n][m] where m>>n Ambainis, Kutin:(n1/3) with no range restriction Element Distinctness: Simply decide whether f has any collisions, with no promise 3 8 2 6 1 9 7 4 2 0 5 (n1/3) lower bound for Collision (n2/3) lower bound for Element Distinctness! (Why?) (n2/3) is optimal, by Ambainis 2003

  13. Application: Graph Isomorphism  If we had a fast quantum algorithm for Collision, then we could easily solve GI! For example, by looking for collisions in

  14. Application: Quantum vs. Zero-Knowledge Merlin Arthur • Zero-Knowledge protocol for verifying that f is 1-to-1: • Arthur picks x, computes f(x), sends it to Merlin, asks him what x was Thus, collision lower bound shows that in a relativized world, quantum computers can’t efficiently solve all problems in Statistical Zero-Knowledge (SZKBQP)

  15. Application: Index Erasure Given a 1-to-1 function f, the following map would be useful for a huge number of quantum algorithms! A. 2002: By generalizing collision lower bound, showed this requires (n1/7) queries to f Midrijanis 2004: Improved to Ambainis et al. 2010: By harder, representation-theoretic argument, improved to optimal (n)

  16. Application: Hidden-Variable Theories Observation (A. 2004): In theories like Bohmian mechanics, if you could see the whole trajectory of a hidden variable at once, you could solve the collision problem in O(1) steps A “hidden-variable QC” could also do Grover search in ~n1/3 steps—but not faster! Almost the only model of computation I know that’s “slightly” more powerful than QC Conclusion: Not even a QC could efficiently sample hidden-variable trajectories!

  17. Application: Quantum-Secure PRFs Goldreich, Goldwasser, Micali 1986: Famous way to get a pseudorandom function, fs:{0,1}n{0,1}n, starting from a pseudorandom generator But GGM’s security argument breaks down in the presence of quantum adversaries, which can look at all fs values in superposition! Zhandry 2012: New quantum-secure GGM security proof Core of Zhandry’s argument (in retrospect): A fast quantum algorithm to distinguish fs from a random function could be used to violate the collision lower bound!

  18. The AMPS Firewall Paradox R = Faraway Hawking Radiation H = Near-Horizon and Horizon Modes B = Interior of “Old” Black Hole Near-maximal entanglement Also near-maximal entanglement Violates monogamy of entanglement!

  19. Harlow-Hayden 2013: Striking argument that Alice’s decoding task would require exponential timeComplexity theory to the rescue of quantum field theory?? Abstraction of Alice’s computational problem: Given a “pseudorandom” n-qubit pure state |BHR produced by a known, poly-size quantum circuit. Decide whether, by acting only on R (the “Hawking radiation”), it’s possible to distill EPR pairs between R and B (the “black hole interior”) Alice’s task is QSZK-complete. And by the collision lower bound, QSZK is “unlikely” to equal BQP!

  20. Arbitrary Symmetric Problems Symmetric:Collision, element distinctness, Grover search… Not Symmetric:Simon and Shor problems, AND/OR trees… Conjecture (Watrous 2002): Randomized and quantum query complexities are polynomially related for all symmetric problems Theorem (A.-Ambainis 2011): Watrous’s conjecture holds! R = O(Q9 polylog Q) Still open whether this holds with  and no …

  21. Short Quantum Proofs of Collision-Freeness? Permutation Testing Problem:Given f:[n][n], decide whether f is a permutation or -far from any permutation, promised that one is the case Generalizes collision, so certainly requires (n1/3) quantum queries A. 2011: even given a w-qubit quantum witness in support of f being a permutation, still needquantum queries to verify the witness Implies an oracle relative to which SZKQMA Open to extend to the original collision problem!

  22. Separate Components Problem (SCP)(Introduced by Lutomirski 2011, motivated by quantum money) Given oracle access to permutations 1,…,k :[n][n] (where, say, k=polylog(n)), as well as their inverses. Decide whether (i) 1,…,k are uniformly random, or (ii) there’s a partition [n]=AB, |A|=|B| such that the i’s map A to A and B to B but are otherwise random. QMA witness for case (ii):

  23. Challenge: Prove SCPQCMA I.e., show that any classical proof of case (ii) must either have n(1) bits, or require n(1) quantum queries to verify • Would imply the first oracle separation between QCMA and QMA, and probably also BQP/poly and BQP/qpoly. “Quantum proofs and advice are good for something!” • A-Kuperberg 2007: Quantum oracle separations Note that SCP  Index Erasure! Suggests we might need far-reaching generalization of collision lower bound

  24. Challenge: Time-Space Tradeoff • Conjecture: Any quantum algorithm for the collision problem needs n1/2-o(1) queries, if restricted to no(1) qubits of memory • (I.e., many qubits were needed in the BHT algorithm) • Currently, we only know quantum time-space tradeoffs for problems with many output bits! • (E.g., T2S=(n3) for sorting—Klauck, Špalek, de Wolf 2004)

  25. Challenge: Adversary Proof of Collision Lower Bound • Ambainis 2000: Quantum adversary method • Most versatile quantum lower bound method known (more “quantum” than polynomial method; handles much wider range of problems) • Reichardt 2010: “Negative-weight” generalization of adversary method is tight for all problems • Belovs 2012: Explicit (n2/3) adversary lower bound for element distinctness • There must be an explicit (n1/3) adversary lower bound for collision. So, find it!

  26. Concluding Thoughts No exponential quantum speedup Grover search Collision problem STRUCTURE Non-abelian group problems Abelian group problems Exponential quantum speedup Each advance we’ve made, in figuring out which types of structure quantum computers can and can’t exploit, has led to unexpected conceptual lessons For the “young people” here: Open problems beckon!

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