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Jan 23, 2017 · To the best of our knowledge, this is the first improvement over the brute-force \exp(n)-time algorithm for this problem.
Our algorithm is based on the sum-of-squares hierarchy and its analysis is inspired by Lovett's proof (STOC '14, JACM '16) that the communication complexity of ...
Our algorithm is based on the sum-of-squares hierarchy and its analysis is inspired by Lovett's proof (STOC '14, JACM '16) that the ...
Quantum Entan- glement, Sum of Squares, and the Log Rank Conjecture. In Proceedings of. 49th Annual ACM SIGACT Symposium on the Theory of Computing, Montreal,.
One of the results of this paper is a proof of Theorem 5 (see ??). It turns out that this can be done using ideas from the works on the log rank conjecture.
The algorithm is based on a general rounding paradigm that uses polynomial reweightings to round the solution to the Sum-of-Squares (SoS) semidefinite ...
Our algorithm is based on the sum-of-squares hierarchy and its analysis is inspired by Lovett's proof (STOC '14, JACM '16) that the communication complexity of ...
The algorithm is based on the sum-of-squares hierarchy and its analysis is inspired by Lovett's proof that the communication complexity of every rank-n Boolean ...
Qantum entanglement, sum of squares, and the log rank conjecture. Boaz Barak, Pravesh K. Kothari, David Steurer. Computer Science.