Quantum Computing for Amorphous User Mismatching
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Solution Overview
Problem
Existing interpersonal matching applications fail to effectively consider the true needs and desires of users, often providing little differentiation from other matching apps and lacking the ability to target specific mismatches in user profiles.
Innovation Solution
A method utilizing quantum computing to mismatch users by receiving unstructured profile information, calculating amorphous mismatches based on selectable levels of geographic mismatch, and providing these mismatches to users through a user interface, while employing quantum-entangled probabilistic weighting and multi-dimensional distance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional matching algorithms are used to match users based on profile similarity, then matching speed and simplicity are improved, but the ability to discover high-divergence matches and target specific mismatches deteriorates
Solution Approach 1:
The patent inverts the traditional matching approach by focusing on mismatches rather than similarities. Instead of finding users who are alike across all profile categories, the system identifies specific dimensions where users differ and allows users to target those specific mismatches. This inversion enables the discovery of high-divergence matches that traditional similarity-based algorithms would overlook.
Solution Approach 2:
The patent segments the matching process into two distinct phases: (1) traditional similarity-based filtering to ensure basic compatibility, and (2) targeted mismatch identification to discover specific dimensions of divergence. This segmentation allows the system to maintain matching speed through efficient filtering while simultaneously enabling the discovery of high-divergence matches through targeted analysis of specific profile dimensions.
2Measurement precision
If quantum computing is used to calculate amorphous mismatches with multi-dimensional distance metrics, then the precision and depth of mismatch analysis is improved, but computational complexity and resource requirements worsen
Solution Approach 1:
The patent applies preliminary action by performing traditional similarity-based matching first to identify a subset of potentially compatible users. This preliminary filtering reduces the overall search space before applying the computationally intensive quantum computing-based amorphous mismatch analysis. By pre-filtering users based on basic profile compatibility, the system minimizes the number of candidates requiring deep quantum analysis, thereby reducing overall computational complexity while maintaining high precision in mismatch detection.
3Ease of operation
If amorphous mismatch with selectable geographic mismatch levels is implemented, then user privacy and control are improved, but the complexity of the matching algorithm worsens
Solution Approach 1:
The patent implements dynamics by making the geographic mismatch threshold a dynamic, user-adjustable parameter rather than a fixed system setting. Users can select their desired level of geographic mismatch (e.g., within the same city, state, or country) based on their privacy preferences and connection goals. This dynamic approach allows users to control their own privacy and matching criteria, simplifying the user experience while the underlying algorithm handles the complexity of adjusting mismatch calculations based on the selected geographic parameter.
Data Source
AI summary
Aspects of the present invention relate to a method for mismatching users remote from one another using remotely located quantum computing, the method including the steps of receiving unstructured profile information from a new user into a data store including previously received unstructured profile information of a plurality of prior users, mismatching the new user with a second user amongst the plurality of prior users based on an amorphous mismatch including at least selectable level of geographic mismatch, the amorphous mismatch having a degree of separation in a previously unperceived mismatch, the amorphous mismatch being indicative of a separation in a real world relationship between the new user and the second user, and providing solely the mismatching to the new user on a user interface local to the user and remote from the quantum computing.