Quantum Computing Results for Loan Portfolio Pricing Optimization

13.2 KB of experimental results demonstrating the application of a Coherent Ising Machine (CIM) quantum computer to loan portfolio pricing optimization. The dataset, authored by Yanbo J. Wang and last updated on 2026-06-04, models the problem as a Quadratic Unconstrained Binary Optimization (QUBO) and compares CIM performance against classical solvers.

Use Cases

• Benchmarking quantum computing performance against classical solvers based on the described acceleration and energy efficiency results.
• Studying the application of Quadratic Unconstrained Binary Optimization (QUBO) models to financial pricing problems.
• Analyzing the scalability and convergence guarantees of Coherent Ising Machine (CIM) solvers for large-scale optimization.
• Developing quantum-ready algorithms for loan portfolio pricing based on the described two-stage penalty coefficient search method.

Strengths

• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and sharing.
• The description provides specific methodological details, including the use of a Coherent Ising Machine and a two-stage penalty coefficient search.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 13.2 KB file size suggests a very limited scope of results.

Provenance

Source

figshare

Collection Method

Likely contains results from numerical experiments comparing a Coherent Ising Machine to classical solvers.

Freshness

Last updated 2026-06-04 05:40:00; freshness should be verified.