Quantum Processor ISA Integration for Hybrid Algorithm Execution

Solution Overview

Problem

Current quantum computing systems face challenges in efficiently executing hybrid classical-quantum algorithms due to the lack of a flexible and programmable model for implementing quantum co-processors, leading to inefficiencies in communication and resource management between classical and quantum computation layers.

Innovation Solution

Integration of quantum instructions into the instruction set architecture of a processor, with a quantum engine that interacts with classical execution engines through a shared register file and system memory, allowing seamless execution of quantum and classical operations within a unified pipeline, and scalable qubit addressing using a qubit index generation unit.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If quantum co-processors are used to execute hybrid classical-quantum algorithms, then quantum computation capability is improved, but communication overhead and resource management inefficiency increase

Engineering Contradiction:

Improvequantum computation capabilityVSAvoidcommunication overhead

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent merges quantum and classical execution engines into a single processor entity, allowing them to share resources including the register file, memory interface, and control logic. This integration eliminates the need for separate communication channels and coordination protocols between independent co-processors, thereby reducing communication overhead while maintaining quantum computation capability.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The processor is designed with universal resource sharing where the register file, memory interface, and control units serve both quantum and classical execution engines. This multi-functionality allows seamless execution of hybrid algorithms without requiring dedicated resources for each engine, reducing resource management complexity and communication overhead.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If quantum co-processors are used to execute hybrid classical-quantum algorithms, then quantum computation capability is improved, but resource management complexity increases

Engineering Contradiction:

Improvequantum computation capabilityVSAvoidresource management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges quantum and classical execution engines into a single processor entity, allowing them to share resources including the register file, memory interface, and control logic. This integration eliminates the need for separate communication channels and coordination protocols between independent co-processors, thereby reducing communication overhead while maintaining quantum computation capability.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The processor is designed with universal resource sharing where the register file, memory interface, and control units serve both quantum and classical execution engines. This multi-functionality allows seamless execution of hybrid algorithms without requiring dedicated resources for each engine, reducing resource management complexity and communication overhead.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Quantity of substance

If scalable qubit addressing is implemented to support a large number of qubits, then quantum system scalability is improved, but addressing mechanism complexity increases

Engineering Contradiction:

Improvenumber of qubitsVSAvoidaddressing mechanism complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The qubit index generation unit is designed to work universally with any number of qubits through programmable indexing logic. Rather than requiring separate addressing circuits for different qubit counts, the system uses a scalable indexing mechanism that can accommodate varying numbers of qubits without fundamental architectural changes, thus supporting scalability while controlling complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The addressing mechanism employs dynamic index generation where the qubit indices are generated on-the-fly based on the quantum instructions being executed. This dynamic approach allows the system to adapt to different quantum circuit requirements and qubit configurations without requiring a fixed, complex addressing structure, enabling scalability with controlled complexity.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS12494783B2Quantum computing systems, apparatus, and methods

Publication Date: 2025.12.09 INTEL CORP

AI summary

Apparatus and methods for interfacing an integrated qubit control chip and a solid state qubit; detecting a qubit state with a transition pulse histogram; high resolution and high speed rectangular pulse generation; large-scale spin qubit state readout; and activity-based clock control.