Fujitsu Quantum Simulator Challenge
Independent R&DIndependent R&D conducted on behalf of Ethosevo Independent R&D Lab. Fujitsu is not a BilgeQor client.
Independent R&D conducted on behalf of Ethosevo Independent R&D Lab for the Balanced MAX-CUT problem using constraint-aware QAOA.
Context
Verified work on a Fujitsu Quantum Simulator Challenge covering quantum-computing R&D, optimization algorithms, and scientific software engineering.
Problem or objective
Investigate the Balanced MAX-CUT problem with constraint-aware QAOA, adaptive penalty scheduling, brute-force baselines, Hamiltonian and circuit analysis, and reproducible distributed research infrastructure.
Delivered scope
- Adaptive penalty scheduling
- Exact brute-force baselines
- Hamiltonian analysis
- Quantum-circuit analysis
- MPI-based distributed meta-search
- Reproducible experiment infrastructure
- Quantum-computing R&D
- Optimization algorithms
- Scientific software engineering
Engineering domains
- Quantum-computing R&D
- Optimization algorithms
- Constraint-aware QAOA
- MPI-based distributed meta-search
- Scientific software engineering
Representative outputs
- Adaptive penalty schedules
- Exact brute-force baselines
- Hamiltonian and circuit analysis
- Reproducible experiment infrastructure
What this demonstrates
- Independent quantum-computing R&D
- Optimization-algorithm work
- Scientific software and reproducibility infrastructure
Scope and disclosure
The record is an Independent R&D attribution for Ethosevo Independent R&D Lab and is not a Fujitsu client or customer-delivery statement.
Preserve the Ethosevo Independent R&D Lab attribution and the experiment-level framing without adding customer, sponsorship, or benchmark claims.
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