Quantum Computing for Intent-Based Extended Reality Partitioning

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Solution Overview

Problem

Extended reality environments face challenges in accurately partitioning dimensions and tracking user consumption, especially in virtual reality sessions coupled with native devices, necessitating a system that can securely and efficiently manage these interactions.

Innovation Solution

A system utilizing quantum computing to dynamically partition extended reality sessions based on user intent, track dimensional views, and determine overall consumption values, including power, memory, and processing usage, with features like incognito mode handling and user preference adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If quantum computing is used to dynamically partition extended reality sessions, then measurement precision and productivity are improved, but device complexity and loss of energy increase

Engineering Contradiction:

Improveaccuracy of dimension partitioningVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

A central usage measurement system acts as an intermediary between the extended reality session and the quantum computing component. This mediator collects session data, processes it through quantum algorithms for accurate dimension partitioning, and returns results without requiring quantum complexity at the client device, thus improving measurement precision while managing device complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the extended reality session into separate dimensional views (visual, auditory, tactile, etc.) that can be independently measured and tracked. This segmentation allows the quantum computing component to process each dimension separately, improving measurement precision for each dimension while distributing the computational complexity across multiple manageable tasks

Inventive Principle:

Principle #1Segmentation

2Productivity

If real-time tracking of dimensional views is implemented, then productivity and speed are improved, but use of energy and loss of energy increase

Engineering Contradiction:

Improvespeed of session partitioningVSAvoidcomputing resource consumption

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system implements periodic sampling of dimensional views at configurable intervals rather than continuous tracking. The central usage measurement system queries for dimensional view data at scheduled periods, allowing real-time productivity while reducing energy consumption by avoiding constant monitoring and processing of all data streams

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system tracks only the dimensional views that are actually used during the extended reality session rather than all possible dimensions. By identifying and monitoring only relevant dimensions (visual, auditory, tactile based on actual user interaction), the system achieves productive real-time tracking while minimizing energy consumption by avoiding unnecessary monitoring of unused dimensions

Inventive Principle:

Principle #16Partial or excessive action

3Extent of automation

If automatic tracking and consumption determination is implemented, then ease of operation and extent of automation are improved, but device complexity and loss of information increase

Engineering Contradiction:

Improveautomation of consumption trackingVSAvoiddata accuracy

Core Design Contradiction:

Extent of automationVSLoss of information

Solution Approach 1:

The central usage measurement system automatically collects, processes, and tracks dimensional view data without requiring manual intervention from users or devices. The system self-manages the entire consumption tracking process, from data collection to consumption value determination, improving ease of operation and automation while maintaining information accuracy through systematic processing

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback loops where dimensional view tracking data is continuously fed back to update consumption values and refine future measurements. This feedback mechanism ensures that automated tracking maintains high information accuracy by continuously adjusting based on actual usage patterns, preventing data loss through systematic verification and correction

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250315099A1Systems and methods for dynamically modifying extended reality environments and determining modified usages in real time using quantum computing

Publication Date: 2025.10.09 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for dynamically modifying extended reality environments and determining modified usages in real time using quantum computing. The present disclosure is configured to identify an extended reality session comprising an extended reality interaction(s) by a user; determine, based on the extended reality interaction(s), a user intent for the extended session, wherein the user intent comprises an intended dimensional view of the extended reality session; dynamically, using a central usage measurement system comprising a quantum computing component, partition the extended reality session based on the user intent into a dimensional view(s); automatically track the dimensional view(s) for the extended reality session based on the extended reality interaction(s); and determine an overall consumption value for the extended reality session based on the dimensional view(s).