Hybrid Classical-Quantum Chip Coupling for Low-Heat Data Exchange
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Solution Overview
Problem
Current technologies face challenges in efficiently solving complex optimization and machine learning problems due to limitations in energy efficiency, heat dissipation, and computational speed, particularly when combining classical and quantum computing approaches.
Innovation Solution
The integration of classical and quantum computing processors on a single chip, utilizing superconducting materials and Reciprocal Quantum Logic (RQL), enables data exchange and shared cooling, reducing heat dissipation and energy consumption while leveraging complementary metaheuristic algorithms like thermal and quantum annealing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If classical and quantum processors are integrated on a single chip with shared cooling, then energy efficiency is improved and heat dissipation is reduced, but device complexity increases
Solution Approach 1:
The patent merges classical and quantum processors onto a single chip substrate, integrating their respective circuit components and coupling components into a unified hybrid processor architecture. This consolidation enables shared cooling infrastructure and reduces overall system complexity despite the advanced functionality achieved
Solution Approach 2:
The hybrid processor is designed with multi-functionality, where the same chip substrate and cooling infrastructure serve both classical and quantum processing functions. The coupling components enable bidirectional data exchange, allowing the system to perform both classical computation and quantum computation tasks within a single integrated device
2Speed
If data exchange between classical and quantum processors is enabled through coupling components, then computational speed is improved, but heat dissipation increases
Solution Approach 1:
The coupling components are strategically positioned and designed with specific local properties to optimize data exchange between classical and quantum processors. The superconducting materials used in these coupling components enable efficient signal transmission with minimal energy loss and heat generation at the interface between the two processing types
3Use of energy by moving object
If superconducting materials are used in both classical and quantum processors, then energy efficiency is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent utilizes superconducting materials that operate at specific critical temperatures, changing the operational parameters of both classical and quantum processors to function in a common cryogenic environment. This parameter alignment enables the use of superconducting materials throughout the hybrid processor, achieving low-energy operation through superconductivity while managing manufacturing challenges through coordinated material selection and process design
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 significantly improves energy efficiency, reduces computational time, and enhances solution accuracy by minimizing decoherence and communication overhead, achieving substantial energy savings and improved signal fidelity.
Implementation Method 1
the quantum computing processor and the classical computing processor each include electronic components formed from a superconducting material
Implementation Method 2
each of the quantum computing processor and the classical computing processor includes at least one Josephson junction and an inductor
Implementation Method 3
each of the quantum computing processor and the classical computing processor includes at least one Josephson junction and an inductor
Implementation Method 4
the one or more coupling components include a superconducting wire
Implementation Method 5
Through an annealing process in which the Hamiltonian evolves from an initial Hamiltonian into a problem Hamiltonian, the energy spectrum or the ground state of the Hamiltonian for solving the problem can be obtained
Data Source
AI summary
An apparatus includes a substrate, a classical computing processor formed on the substrate, a quantum computing processor formed on the substrate, and one or more coupling components between the classical computing processor and the quantum computing processor, the one or more coupling components being formed on the substrate and being configured to allow data exchange between the classical computing processor and the quantum computing processor.