Quassical Computing System Segmentation for Coherence

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Solution Overview

Problem

Quantum computers face limitations such as short coherence times and topological constraints on internal connectivity, leading to errors and increased overhead in error correction, making them inefficient for solving complex problems.

Innovation Solution

A quassical computing system that decomposes problems into classical and quantum subproblems, using classical computing for stable operations and quantum computing for specific tasks, minimizing the need for extensive quantum resources and error correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If quantum computers are used to solve complex problems, then computational speed is improved, but coherence time is reduced and error rates increase

Engineering Contradiction:
Improvecomputational speedVSAvoidcoherence time
Core Design Contradiction:
SpeedVSReliability

Solution Approach 1:

The patent segments the computational task into two distinct parts: a quantum computing subsystem that performs specific quantum operations for speed advantage, and a classical computing subsystem that handles control, error correction, and overall coordination. This segmentation allows the quantum system to operate at high speed for its designated tasks while the classical system manages the reliability and coherence constraints.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The classical computing subsystem acts as an intermediary between the quantum subsystem and the external environment. It receives problem inputs, decomposes them into quantum and classical subproblems, provides control instructions to the quantum subsystem, and processes results. This intermediary role allows the quantum system to focus on speed-optimized computations while the classical system handles reliability management.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If quantum computing is used for complex problems, then problem-solving capability is improved, but device complexity increases due to error correction requirements

Engineering Contradiction:
Improveproblem-solving capabilityVSAvoiderror correction overhead
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments computational responsibilities by identifying which subproblems are best solved quantum mechanically versus classically. The control subsystem decomposes the overall problem into quantum subproblems (requiring quantum resources) and classical subproblems (handled by classical resources), thereby reducing the total quantum resource requirement and associated error correction overhead while maintaining versatile problem-solving capability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of applying full error correction to all quantum operations, the system applies error correction only where necessary and to the extent needed. The classical subsystem provides sufficient error management for the quantum subsystem's specific operations, avoiding excessive error correction overhead while maintaining adequate reliability for the quantum computations performed.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If quantum computing gates are arranged to solve problems, then computational efficiency is improved, but physical connectivity constraints are worsened

Engineering Contradiction:
Improvecomputational efficiencyVSAvoidtopological connectivity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the computational graph into quantum operations (executed on the quantum subsystem) and classical operations (executed on the classical subsystem). This segmentation allows the quantum subsystem to focus on computationally efficient operations that leverage quantum speedup, while the classical subsystem handles the coordination and control, thereby achieving high productivity without being constrained by the full topological connectivity requirements of a purely quantum system.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11250341B2System, method and computer readable medium for quassical computing
Publication Date: 2022.02.15 LOCKHEED MARTIN CORP
  • US11250341B2 patent drawing
  • US11250341B2 patent drawing
  • US11250341B2 patent drawing

AI summary

A system comprising a classical computing subsystem to perform classical operations in a three-dimensional (3D) classical space unit using decomposed stopping points along a consecutive sequence of stopping points of sub-cells, along a vector with a shortest path between two points of the 3D classical space unit. The system includes a quantum computing subsystem to perform quantum operations in a 3D quantum space unit using decomposed stopping points along a consecutive sequence of stopping points of sub-cells, along a vector selected to have a shortest path between two points of the 3D quantum space unit. The system includes a control subsystem to decompose classical subproblems and quantum subproblems into the decomposed points and provide computing instructions and state information to the classical computing subsystem to perform the classical operations to the quantum computing subsystem to perform the quantum operations. A method and computer readable medium are provided.