Variation-aware qubit routing via bubble nodes

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Solution Overview

Problem

Noisy Intermediate Scale Quantum (NISQ) computing systems face significant challenges with error rates in quantum calculations due to qubit noise, and existing error correction methods and qubit allocation algorithms are inefficient, requiring excessive resources and computation time, especially for systems with a large number of qubits.

Innovation Solution

The method involves identifying and utilizing 'bubble nodes' with higher reliability connections to route qubits for quantum operations, potentially using super bubble nodes for cross-region connectivity, and dynamically reassessing and reassigning nodes to optimize link reliability, thereby reducing error rates and improving system reliability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If quantum error correction codes (QEC) are implemented to reduce error rates, then reliability of quantum operations is improved, but area overhead and additional physical qubits are required

Engineering Contradiction:

Improvereliability of quantum operationsVSAvoidnumber of physical qubits

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent divides the quantum computing system into multiple regions, each with designated bubble nodes that serve as local routing hubs. This segmentation allows qubit movement to be localized within regions rather than requiring global qubit relocation, reducing the need for additional physical qubits while maintaining reliability through structured error management.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Bubble nodes act as intermediary elements between regular computational qubits and the error correction infrastructure. These specialized nodes handle the overhead of error management and qubit routing, allowing the majority of physical qubits to be used for computation rather than error correction, thus reducing the area overhead associated with QEC.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If optimal qubit allocation algorithms are applied to improve reliability of NISQ computers, then error rates are reduced, but exponential time and space complexity increase

Engineering Contradiction:

Improvereliability of NISQ computationsVSAvoidcomputation time for qubit allocation

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the qubit allocation problem into regional sub-problems, where each region independently manages its bubble nodes and local qubit routing. This divides the exponentially complex global optimization problem into multiple polynomial-time local decisions, dramatically reducing computation time while maintaining reliability through coordinated regional management.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts qubit routing decisions based on real-time conditions, with bubble nodes adapting their behavior according to current qubit locations and operational needs. This dynamic approach replaces static optimal allocation that requires exponential computation with flexible, polynomial-time adaptive routing that maintains reliability without excessive time complexity.

Inventive Principle:

Principle #15Dynamics

3Reliability

If search algorithms are applied to each qubit operation across the entire network to optimize routing, then reliability is improved, but computation complexity increases significantly

Engineering Contradiction:

Improverouting reliabilityVSAvoidcomputation complexity of routing algorithm

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent partitions the quantum network into multiple regions with designated bubble nodes serving as local routing centers. This segmentation restricts search algorithms to operate only within local regions rather than across the entire network, reducing the number of nodes in the search space from N to approximately N/k where k is the number of regions, thereby significantly reducing computation complexity while maintaining routing reliability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Bubble nodes serve as intermediary routing centers that simplify the complex task of qubit transportation across the entire network. Instead of performing exhaustive searches across all nodes, the system uses bubble nodes as fixed intermediaries that handle local routing decisions, reducing the computational complexity of routing algorithms from exponential to polynomial time while preserving reliability through the structured intermediary architecture.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11704277B2Variation-aware qubit movement scheme for noise intermediate scale quantum era computers

Publication Date: 2023.07.18 ADVANCED MICRO DEVICES INC

AI summary

Systems and methods for efficiently routing qubits in a quantum computing system include selecting bubble nodes and routing qubits to the bubble nodes. The systems and methods further include dividing a system of nodes into regions and selecting a bubble node for each region. The systems and methods further include using super bubble nodes with reliable links connected to other super bubble nodes and bubble nodes to improve cross-region operations.