10 problems
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Farhi–Goldstone–Gutmann conjecture for the ring-of-disagrees QAOA ratio
Let binary spins be arranged on a ring, with the objective of maximizing the number of neighboring pairs pointing in opposite directions. For even , let denote the l…
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Size-independence conjecture for the level-two SDP relaxation
Size-independence conjecture. The approximation of the SDP relaxation to the actual figures is essentially independent of .
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The conjecture that gradient-based QAOA optimization often gets trapped by saddle points
Gradient-based QAOA saddle-point conjecture. Gradient-based optimization of QAOA often gets trapped by saddle points of the QAOA loss-function landscape.
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The no-overlap-gap-property conjecture for random regular MaxCut and spin glass problems
The discussion concerns the Sherrington–Kirkpatrick spin glass problem and MaxCut on large random regular graphs, together with their overlap gap property (OGP) and approximate mes…
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Typicality conjecture for 2-independent sets in random 3-regular graphs
Let denote the threshold appearing in the definition of 2-independent-set-typicality. For and , a 3-regular graph…
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The QAOA performance conjecture for 2-regular graphs
A -regular graph is a graph in which every vertex has degree , and standard QAOA at depth is evaluated by its expected approximation ratio for the Max-Cut objective. QAOA…
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Conjecture on shadow defects as a mechanism for concentration of measure in QAOA
Consider the quantum approximate optimization method applied to sufficiently large instances, together with distant and unrelated shadow defects that can affect the efficacy of low…
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Conjecture on concentration of measure in QAOA landscapes
Consider low-depth quantum approximate optimization algorithms (QAOA) applied to random problem instances, and the phenomenon described in the surrounding text, in which distant en…
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Aaronson's conjecture on super-polynomial quantum speedups without structure
Consider computational problems, with instances or problems equipped with an appropriate measure-theoretic notion of majority, and distinguish problems possessing exploitable struc…
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The hardware-level energy-gap conjecture for autoscaled quantum optimization
Hardware-level energy-gap conjecture. When the parameters are autoscaled in these ranges, the resulting hardware-level energy gaps between different solutions become small compared…