20240037582. ALLOCATION OPTIMIZATION simplified abstract (MASTERCARD INTERNATIONAL INCORPORATED)
Contents
ALLOCATION OPTIMIZATION
Organization Name
MASTERCARD INTERNATIONAL INCORPORATED
Inventor(s)
Nicola Mariella of Oranmore, Galway (IE)
Stephen Patrick Flinter of Terenure, Dublin (IE)
Quentin Bragard of Dublin (IE)
ALLOCATION OPTIMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240037582 titled 'ALLOCATION OPTIMIZATION
Simplified Explanation
The patent application describes a system and method for optimizing the allocation of opportunities to recipients using a quantum computer. The process involves determining the opportunities to be allocated, the recipients to be allocated the opportunities, and the acceptance likelihood of each recipient for each opportunity. It also considers a cost constraint associated with the acceptance of opportunities by recipients. The quantum computer is used to determine an optimized allocation of opportunities based on the acceptance likelihoods and the cost constraint.
- The system and method optimize the allocation of opportunities to recipients using a quantum computer.
- Opportunities to be allocated and recipients to be allocated are determined.
- The acceptance likelihood of each recipient for each opportunity is determined.
- A cost constraint associated with the acceptance of opportunities by recipients is considered.
- The quantum computer is used to determine an optimized allocation based on the acceptance likelihoods and the cost constraint.
Potential applications of this technology:
- Resource allocation: This technology can be applied to optimize the allocation of limited resources, such as funding, time, or materials, to recipients based on their likelihood of acceptance and cost constraints.
- Job allocation: It can be used to optimize the allocation of job opportunities to candidates based on their acceptance likelihoods and cost constraints.
- Advertising optimization: This technology can be utilized to optimize the allocation of advertising opportunities to target audiences based on their likelihood of acceptance and budget constraints.
Problems solved by this technology:
- Inefficient allocation: The technology solves the problem of inefficient allocation of opportunities by considering the acceptance likelihoods and cost constraints, resulting in an optimized allocation.
- Resource wastage: By optimizing the allocation, the technology helps prevent resource wastage by ensuring that opportunities are allocated to recipients who are more likely to accept them.
- Cost optimization: The technology considers cost constraints, ensuring that opportunities are allocated in a way that minimizes costs while maximizing acceptance likelihoods.
Benefits of this technology:
- Improved efficiency: The optimized allocation of opportunities leads to improved efficiency in resource allocation, job allocation, or advertising optimization.
- Cost savings: By considering cost constraints, the technology helps in minimizing costs associated with the allocation of opportunities.
- Increased acceptance rates: By allocating opportunities to recipients with higher acceptance likelihoods, the technology increases the overall acceptance rates, leading to better outcomes.
Original Abstract Submitted
a system and computer-implemented method for optimising, by a quantum computer, an allocation of opportunities to recipients comprising: determining a plurality of opportunities to be allocated; determining a plurality of recipients to be allocated at least one of the plurality of opportunities; determining a respective acceptance likelihood of each of the plurality of recipients accepting each of the plurality of opportunities; determining a first constraint associated with a cost acceptance of each of the plurality of opportunities by the plurality of recipients; and determining an optimised allocation of the opportunities to the recipients based on the respective likelihoods and the first constraint, in the quantum computer.
