REVIEW 4 cited by
Improved Algorithms for Quantum MaxCut via Partially Entangled Matchings
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
We introduce a $0.611$-approximation algorithm for Quantum MaxCut and a $\frac{1+\sqrt{5}}{4} \approx 0.809$-approximation algorithm for the EPR Hamiltonian of [arXiv:2209.02589]. A novel ingredient in both of these algorithms is to partially entangle pairs of qubits associated to edges in a matching, while preserving the direction of their single-qubit Bloch vectors. This allows us to interpolate between product states and matching-based states with a tunable parameter.
Forward citations
Cited by 4 Pith papers
-
Sharp Hardness for MAX-3-CUT and Quantum MAX-CUT
Under UGC, MAX-3-CUT and product-state Quantum MAX-CUT are NP-hard to approximate beyond 0.8360 and 0.9563 times optimal, matching the best known algorithms.
-
Sharp Bounds on Ground State Energy of the SYK Model
For super-constant k = o(√n), the expected operator norm of the k-SYK Hamiltonian equals (1−o(1))√(2n)/k, via a twisted-boson operator whose moments match SYK trace moments exactly.
-
A Refined Algorithm For the EPR model
A refined algorithm for the EPR model using homogeneous and quasi-homogeneous fractional matchings achieves improved approximation ratios on regular graphs, e.g., 0.872 for 2-regular graphs.
-
Testing APS conjecture on regular graphs
The FED algorithm's energy estimates on Henning-Yeo regular graphs never exceed the APS conjecture's predicted bound, so the tests find no violation.
Discussion (0). Continue with ORCID to comment.