Modular Quantum Chip Architecture for Scalable Entanglement

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Solution Overview

Problem

Superconducting quantum computing architectures face limitations in scalability due to the labor-intensive assembly of disparate components, leading to high hardware overhead and overwhelming cooling demands, which restricts the number of qubits that can be accommodated in a dilution refrigerator.

Innovation Solution

A scalable quantum computing architecture is implemented using a modular design with quantum chips and entangling units on a shared substrate or printed circuit board, reducing physical components and intermediate connections, and integrating entangling capabilities to enhance qubit connectivity and reduce signal losses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a centralized quantum processor with local error correction is used, then error correction capability is improved, but hardware overhead increases and scalability is limited

Engineering Contradiction:
Improveerror correction capabilityVSAvoidhardware overhead
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The quantum processor is divided into multiple modular quantum nodes, each capable of independent operation and error correction. This segmentation allows the system to scale by adding nodes rather than expanding a single centralized processor, reducing the hardware overhead burden on any single component while maintaining overall error correction capability through distributed operation.

Inventive Principle:
Principle #1Segmentation

2Productivity

If modular quantum nodes with distributed error correction are used, then scalability is improved, but entanglement generation complexity increases

Engineering Contradiction:
ImprovescalabilityVSAvoidentanglement generation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

A microwave signal routing unit acts as an intermediary between quantum nodes, providing standardized interfaces and signal management. This intermediary simplifies entanglement generation by handling signal distribution, routing, and coordination centrally, allowing modular nodes to be added without proportionally increasing the complexity of entanglement generation across the entire system.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If hand assembly of off-the-shelf components is used, then component compatibility is improved, but assembly time and labor intensity increase

Engineering Contradiction:
Improvecomponent compatibilityVSAvoidassembly time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

Multiple quantum nodes and supporting components are merged into integrated assemblies or modules that can be pre-tested and validated as complete functional units. This merging reduces the number of individual hand-assembly operations required while maintaining compatibility, as each integrated module preserves standardized interfaces for connection to other modules, thereby reducing overall assembly time and labor intensity.

Inventive Principle:
Principle #5Merging (Combining)

4Productivity

If more qubits are accommodated in the dilution refrigerator, then quantum computing power is improved, but cooling power requirements increase

Engineering Contradiction:
Improvequantum computing powerVSAvoidcooling power requirements
Core Design Contradiction:
ProductivityVSUse of energy by stationary object

Solution Approach 1:

The quantum processor is segmented into multiple modular nodes that can be distributed across different cooling zones or stages of the dilution refrigerator. This segmentation allows for more efficient use of cooling power by placing different node types or densities in zones with appropriate cooling capacity, enabling higher total qubit counts without linearly increasing the cooling power requirements of any single zone.

Inventive Principle:
Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables more reliable and efficient quantum computing by reducing hardware overhead, minimizing signal losses, and allowing for thousands of qubits, thereby enhancing the quantum volume and scalability of quantum processors.

Implementation Method 1

A first quantum entangling unit is (e.g., bi-directionally) coupled to the quantum signal unit and configured to generate an entanglement between a first and a second qubit device on the first quantum chip via the quantum signal unit

Methodology Applied
Scientific EffectQuantum entanglement:

Implementation Method 2

the first quantum entangling unit includes a Josephson mixer device

Methodology Applied
Scientific EffectJosephson effect: Josephson Effect

Data Source

PatentUS11984890B2Scalable interconnected quantum architecture
Publication Date: 2024.05.14 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US11984890B2 patent drawing
  • US11984890B2 patent drawing
  • US11984890B2 patent drawing

AI summary

A quantum circuit includes a quantum signal unit. There is a first quantum chip comprising a plurality of qubit devices and bi-directionally coupled to the quantum signal unit. A first quantum entangling unit is bi-directionally coupled to the quantum signal unit and configured to generate an entanglement between a first and a second qubit device on the first quantum chip via the quantum signal unit.