Alright, alright, alright (grumble)

If no one else is going to highlight some results from the conference, I guess I’ll have to do it myself. More nuggets coming soon (i.e., as soon as I have my layovers in Auckland and LAX en route to Toronto) Nope, I was too lazy. Plus I caught a cold on the plane from which I’m just now recovering.

  • Aram Harrow (joint work with Sean Hallgren) generalized the Recursive Fourier Sampling problem of Bernstein and Vazirani, to give superpolynomial quantum black-box speedups based not only on the Fourier transform, but on almost any unitary transformation.
  • Falk Unger discussed his joint result with Richard Cleve, William Slofstra, and Sarvagya Upadhyay, that if Alice and Bob share unlimited quantum entanglement and are playing n Bell inequality games in parallel, then they might as well just play each game separately (i.e., there’s no advantage in correlating their strategies across multiple games). Surprisingly, this is provably false if Alice and Bob don’t share entanglement.
  • Alexandra Kolla discussed her joint result with Sean Hallgren, Pranab Sen, and Shengyu Zhang, that any classical statistical zero-knowledge protocol can be made secure against quantum attacks. This generalizes a previous result of John Watrous (STOC’06), that certain specific SZK protocols can be made secure against quantum attacks. Shengyu was supposed to give the talk; Alexandra had to fill in for him on a few days’ notice since he couldn’t get a travel visa.
  • Troy Lee discussed his new negative-weight adversary method for proving quantum lower bounds (joint work with Peter Høyer and Robert Špalek), which improves the previous methods of Ambainis, Zhang, and others, and finally breaks through the so-called certificate complexity barrier. Unfortunately, the new method is so non-intuitive that right now the authors can only apply it with the aid of semidefinite programming solvers. But this old lowerboundsgeezer is hoping that, once the young ‘uns get a better handle on their new toy, they’ll be able to use it to finally demolish some of the old open problems in quantum lower bounds.
  • Daniel Gottesman proved (joint work with Dorit Aharonov and Julia Kempe) that finding the ground state of a one-dimensional spin chain with nearest-neighbor interactions is already QMA-complete. Since the analogous classical problem is solvable in polynomial time, it had been conjectured that the quantum version is too, but this intuition turns out to be wrong.
  • Yi-Kai Liu showed (joint work with Matthias Christandl and Frank Verstraete) that several problems of longstanding interest to chemists are QMA-complete. These problems include deciding whether a set of local density matrices is compatible with some global density matrix; and the “N-representability” problem (namely, deciding whether a quantum state of two m-mode fermions is extendible to a state of N m-mode fermions, where m=O(poly(N)).
  • Francois Le Gall gave an exponential separation between randomized and quantum space complexity in the online setting (that is, the setting where the input bits are fed to an algorithm one at a time, with no possibility of going backward).
  • Gus Gutoski showed (joint work with John Watrous) that if two omniscient gods are playing a quantum chess game by shuttling qubits back and forth via a polynomial-time intermediary, who will measure the qubits at the end to decide the winner, then it’s possible in deterministic exponential time to decide which god will win. Or to say it much more clearly, QRG=EXP.
  • Iordanis Kerenidis discussed his joint result with Dmitry Gavinsky, Julia Kempe, Ran Raz, and Ronald de Wolf, that there exists a partial Boolean function whose quantum one-way communication complexity is exponentially smaller than its randomized one-way communication complexity. Previously this was only known for relation problems.
  • Ike Chuang gave an update on experimental quantum computing. His talk included a lot of graphs of damped sine curves.
  • I gave my tired old talk on learnability of quantum states.

10 Responses to “Alright, alright, alright (grumble)”

  1. Dave Bacon Says:

    Thanks Scott! Looking forward to some serious jetlag?

  2. Scott Says:

    Nothing I can’t handle. I mean, I’ll be back in Waterloo by “tonight”!

    (from Brisbane airport)

  3. aram harrow Says:

    Thanks for the mention, Scott, but I’d like to add the recursive Fourier sampling work was done in collaboration with Sean Hallgren.

  4. Scott Says:

    Sorry for the oversight, Aram! Fixed.

    (from LAX, and way too tired to write any new summaries…)

  5. John Sidles Says:

    Thinking about matrix product states geometrically, and constructing simple examples, seems to lead to Hodge theory. As they say back in Iowa “I feel like a hog being shown a wristwatch.”

    Was anything along these geometric lines discussed at QIP?

  6. Scott Says:

    Was anything along these geometric lines discussed at QIP?

    Not that I remember!

  7. rrtucci Says:

    So what is a “generalized Recursive Fourier Sampling problem”, and what is it good for? Assume for your answer that I don’t know anything about complexity theory (a very good approximation). Can it be used to program a quantum computer, and if so, to do what?

  8. Scott Says:

    If you were going to tell someone what quantum computers were “good for,” Recursive Fourier Sampling is not the first example you’d use. While it’s important, the importance is mostly theoretical. First, when Bernstein-Vazirani introduced the problem in 1993, it provided the first formal evidence (before Simon’s and Shor’s algorithms) that quantum computers would be more powerful than classical ones. More to the point, RFS looks completely different from the other known problems that admit quantum speedups — and this has direct relevance for attempts to classify BQP (the class of problems solvable efficiently on a quantum computer) inside the hierarchy of classical complexity classes.

    While RFS is not practically important by itself, it can serve as a testing-ground for major new ideas in quantum algorithms. For example, the Bernstein-Vazirani algorithm for RFS provided the first example of “recursive uncomputation,” which has since been used repeatedly in designing more practical quantum algorithms (for example, algorithms for game-tree search and spatial search). Also, Aram’s result gives the first evidence that “generic” unitary transformations can yield superpolynomial quantum speedups, by introducing some new ideas about the “dispersion” of a random quantum circuit. The hope would be that the same ideas will find application elsewhere.

    If you want a formal definition of RFS, see this paper of mine. I don’t think Aram’s paper is written up yet. But basically, his “generalized RFS” algorithm starts with the usual RFS algorithm, and then replaces the Fourier transform over (Z_2)^n by an arbitrary unitary transformation. With the algorithm in hand, Aram then invents a problem that his algorithm can solve! 🙂

  9. John Sidles Says:

    Scott sez: With the algorithm in hand, Aram then invents a problem that his algorithm can solve!.

    In the immortal words of Homer Simpson: “That can’t be true. `Cuz if it were, I’d be terrified!”

    Wouldn’t that career strategy, if widely adopted, create a runaway intellectual dynamic within which the literature became more and more thickly foliated with results that were (by construction) of less and less broad interest? Pretty soon, we’d be publishing millions of minimally-connected articles per year, and the literature would acquire the cognitive structure of a Borel set. Doh!

  10. rrtucci Says:

    Thanks Scott. Excellent answer.