The SDP value for random two-eigenvalue CSPs
@inproceedings{Mohanty2019TheSV, title={The SDP value for random two-eigenvalue CSPs}, author={Sidhanth Mohanty and Ryan O'Donnell and Pedro Paredes}, booktitle={Symposium on Theoretical Aspects of Computer Science}, year={2019} }
We precisely determine the SDP value (equivalently, quantum value) of large random instances of certain kinds of constraint satisfaction problems, ``two-eigenvalue 2CSPs''. We show this SDP value coincides with the spectral relaxation value, possibly indicating a computational threshold. Our analysis extends the previously resolved cases of random regular $\mathsf{2XOR}$ and $\textsf{NAE-3SAT}$, and includes new cases such as random $\mathsf{Sort}_4$ (equivalently, $\mathsf{CHSH}$) and $\mathsf…
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References
SHOWING 1-10 OF 58 REFERENCES
The threshold for SDP-refutation of random regular NAE-3SAT
- Computer Science, MathematicsSODA
- 2019
It is shown that the latter situation prevails, at least in the context of random regular instances and SDP-based refutation, and the following sharp threshold result regarding efficient refutation is established: if $d 13.5$ then even the most basic spectral algorithm refutes satisfiability~(whp).
The Grothendieck Constant is Strictly Smaller than Krivine's Bound
- Mathematics2011 IEEE 52nd Annual Symposium on Foundations of Computer Science
- 2011
The classical Grothendieck constant, denoted $K_G$, is equal to the integrality gap of the natural semi definite relaxation of the problem of computing$$\max \{\sum_{i=1}^m\sum_{j=1}^n a_{ij}…
Sum of squares lower bounds for refuting any CSP
- Computer ScienceSTOC
- 2017
This work shows that if P is δ-close to supporting a t-wise uniform distribution on satisfying assignments, then the degree-Θ(n/Δ2/(t - 1) logΔ) SOS algorithm cannot (δ+o(1))-refute a random instance of CSP(P).
Strongly refuting random CSPs below the spectral threshold
- Computer ScienceSTOC
- 2017
Random constraint satisfaction problems (CSPs) are known to exhibit threshold phenomena: given a uniformly random instance of a CSP with n variables and m clauses, there is a value of m = Ω(n) beyond…
The Lovász Theta Function for Random Regular Graphs and Community Detection in the Hard Regime
- MathematicsAPPROX-RANDOM
- 2017
We derive upper and lower bounds on the degree $d$ for which the Lov\'asz $\vartheta$ function, or equivalently sum-of-squares proofs with degree two, can refute the existence of a $k$-coloring in…
Hiding Cliques for Cryptographic Security
- Mathematics, Computer ScienceSODA '98
- 1998
It is demonstrated how a well studied combinatorial optimization problem may be used as a new cryptographic primitive by “hiding” large cliques in random graphs by exploiting the conjecture that no polynomial-time algorithm exists which finds a clique of size.
Algorithms and resource requirements for fundamental problems
- Computer Science, Mathematics
- 2007
It is proved that the Boolean satisfiability problem and other hard problems require Ω(n2cos(π/7)- o(1)) ≥Ω( n1.801) time to solve by any algorithm that uses no(1) space, and more efficient methods for solving interesting classes of NP-hard problems exactly are established.
The backtracking survey propagation algorithm for solving random K-SAT problems
- Computer Science, MathematicsNature Communications
- 2016
The backtracking survey propagation algorithm is introduced, which is shown to be able to find solutions very close to the SAT-UNSAT threshold, in a region unreachable by any other algorithm, supporting the conjecture that only unfrozen solutions can be found in linear time.
Lifts, Discrepancy and Nearly Optimal Spectral Gap*
- MathematicsComb.
- 2006
It is shown that every graph of maximal degree d has a 2-lift such that all “new” eigenvalues are in the range, leading to a deterministic polynomial time algorithm for constructing arbitrarily large d-regular graphs, with second eigenvalue O(d/α)+1.
Candidate One-Way Functions Based on Expander Graphs
- Mathematics, Computer ScienceStudies in Complexity and Cryptography
- 2000
The study of the complexity of inverting this one-way function using combinatorial constructs such as expander graphs is proposed as an interesting open problem, with the hope that further research will provide evidence that the inversion task is intractable.