5 papers · 1 filter
Regularized Warm-Started Quantum Approximate Optimization and Conditions for Surpassing Classical Solvers on the Max-Cut Problem
Zichang He, Anuj Apte, Brandon Augustino +4
Demonstrating quantum heuristics that outperform strong classical solvers on large-scale optimization remains an open challenge. Here we introduce Regularized Warm-Started QAOA (RW…
A 0.8395-approximation algorithm for the EPR problem
Anuj Apte, Eunou Lee, Kunal Marwaha +3
We give an efficient 0.8395-approximation algorithm for the EPR Hamiltonian. Our improvement comes from a new nonlinear monogamy-of-entanglement bound on star graphs and a refined…
Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions
Dylan Herman, Guneykan Ozgul, Anuj Apte +4
We present new theoretical mechanisms for quantum speedup in the global optimization of nonconvex functions, expanding the scope of quantum advantage beyond traditional tunneling-b…
Improved Algorithms for Quantum MaxCut via Partially Entangled Matchings
Anuj Apte, Eunou Lee, Kunal Marwaha +2
We introduce a -approximation algorithm for Quantum MaxCut and a -approximation algorithm for the EPR Hamiltonian of [arXiv:2209.02589].…
Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm
Anuj Apte, Shree Hari Sureshbabu, Ruslan Shaydulin +5
Quantum Approximate Optimization Algorithm (QAOA) is a promising quantum heuristic with empirical evidence of speedup over classical state-of-the-art for some problems. QAOA uses a…