Private equity portfolio operating decisions

Allocating partner attention, follow-on capital, and exit timing across portfolio companies — kept confidential.

Who

A private equity firm managing 12–25 active portfolio companies through an investment cycle.

The problem

Allocating partner attention, follow-on capital, operating support, and exit-timing decisions across companies is a multi-objective combinatorial problem with substantial value at stake, and each company's stage and performance changes the calculus.

What ArcaQ does

Encodes the allocation problem as a QUBO over discrete operating decisions (capital follow-on, partner days per quarter, exit-timing buckets) under aggregate portfolio constraints.

Expected result (published benchmarks)

Studies of operating-model optimization in PE portfolios suggest 5–15% improvement in portfolio-level IRR achievable through structured allocation versus partner intuition alone.

Why confidentiality matters

Portfolio-company performance data, internal valuations, and partner-level concerns are sensitive for both negotiating leverage and limited-partner relations. They remain inside attested compute.

Tier fit

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.