activity
20242026
collaborators

5 papers

quant-ph2026

Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization

Anthony Wilkie, Alexander DeLise, Andrew Del Real +2

Constrained combinatorial optimization remains challenging for quantum algorithms because feasibility must be explicitly enforced, typically through penalty terms or problem-specif…

quant-ph2025

Efficient circuits for leaf-separable state preparation

Sunil Vittal, Anthony Wilkie, Nika Rastegari +2

Efficient state preparation is a challenging and important problem in quantum computing. In this work, we present a recursive state preparation algorithm that combines logarithmic-…

quant-ph2025

An Exclusive-Sum-of-Products Pipeline for QAOA

Matthew Brunet, Shilpi Shah, Mostafa Atallah +2

The quantum approximate optimization algorithm is commonly used to solve combinatorial optimization problems. While unconstrained problems map naturally into the algorithm, incorpo…

quant-ph2024

Quantum approximate optimization algorithm with random and subgraph phase operators

Anthony Wilkie, Igor Gaidai, James Ostrowski +1

The quantum approximate optimization algorithm (QAOA) is a promising quantum algorithm that can be used to approximately solve combinatorial optimization problems. The usual QAOA a…

quant-ph2024

An angle rounding parameter initialization technique for ma-QAOA

Anthony Wilkie, James Ostrowski, Rebekah Herrman

The multi-angle quantum approximate optimization algorithm (ma-QAOA) is a recently introduced algorithm that gives at least the same approximation ratio as the quantum approximate…