Publications & Research Papers

Combinatorial optimization problems - routing, scheduling, resource allocation, and network design - underpin decision-making in logistics, finance, telecommunications, and infrastructure planning. Many of these problems are NP-hard, meaning that exact solutions become computationally intractable as problem size grows. This whitepaper describes a hybrid architecture in which a NISQ device generates candidate solutions via QAOA, a classical refinement stage repairs those candidates through structure-aware local search, and a formal verification layer establishes logical guarantees over the constraints a solution must satisfy.

We present a novel computational framework for modeling nonlinear Debye shielding effects in high-density plasma environments. Our approach combines Poisson-Boltzmann equations with machine learning techniques to accurately predict screening behavior beyond traditional linear approximations. Results demonstrate significant improvements in fusion plasma confinement predictions.

Experimental observations of collective oscillation modes in strongly magnetized plasma are reported and compared with theoretical predictions. Using advanced laser diagnostics, we identify novel wave-particle interaction mechanisms that enhance energy transfer efficiency. These findings have direct applications to tokamak stability control.

We investigate quasi-neutrality breakdown conditions in ultra-high frequency (UHF) plasma sources used for semiconductor manufacturing. Our findings reveal critical frequency thresholds where traditional quasi-neutral assumptions fail, necessitating new modeling approaches for next-generation plasma processing equipment.