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Patent drawing for Hierarchical portfolio optimization using clustering and near-term quantum computers
US 11,809,964 B1
Machine learning US 11,809,964 B1 Not in force

Hierarchical portfolio optimization using clustering and near-term quantum computers

This invention helps manage investment portfolios, especially when you can only buy whole shares or specific quantities. It first uses a regular computer to group similar investments into smaller, manageable sets. Then, it uses a quantum computer to precisely decide which investments to buy within each small group, specifically by allocating budget based on investment correlations and iteratively solving for asset selection.

Why it matters: Since 2022, quantum computing hardware has seen incremental improvements in qubit count and stability, potentially allowing slightly larger sub-problems to be solved. However, practical, accessible quantum computers are still not widely available.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedQuantum computer, complex software development

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