Commercial real estate portfolio optimization

Optimal property mix across types, geographies, and financing — without exposing rent rolls or refinancing plans.

Who

A REIT or private commercial real estate investor managing 30–100 properties across asset types and geographies.

The problem

Optimal property mix across types (office, multi-family, industrial, retail), geographies, and financing structures given evolving market conditions, capital constraints, and debt-maturity schedules.

What ArcaQ does

QUBO over hold, sell, refinance, and acquire decisions with constraints on aggregate debt service, geographic concentration, and tenant credit exposure.

Expected result (published benchmarks)

Optimization studies for CRE portfolios indicate 1–3% NAV improvement per cycle achievable from structured rebalancing.

Why confidentiality matters

Property-level cash flows, debt-covenant data, tenant rent rolls, and refinancing plans are competitively sensitive in tight markets. They stay sealed.

Tier fit

Atelier or Reserve.

The performance ranges below are drawn from published academic and industry benchmarks for the relevant problem class — QAOA portfolio-optimization studies, VQE chemistry benchmarks, and quantum-annealing logistics case studies. They are not ArcaQ measurements. Results vary substantially with problem size, constraint density, and the specific algorithm and hardware used. ArcaQ-specific results will be published after hardware validation.