Quantum Compiler Accelerator for Hybrid Classical-Quantum Execution

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

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 quantum co-processors, leading to inefficiencies in quantum instruction processing and qubit addressing, which limits the scalability and reliability of quantum computations.

Innovation Solution

Integration of quantum instructions into the processor's instruction set architecture (ISA) with a quantum engine that interacts with classical execution engines, using a shared register file and system memory, and a quantum/classical interface for connectivity, allowing for optimized quantum circuit compilation and execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If quantum instructions are processed using traditional co-processor designs, then quantum operations can be executed, but overhead is excessive and efficiency is reduced

Engineering Contradiction:
Improvequantum instruction processing efficiencyVSAvoidcompilation and execution overhead
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent merges quantum instruction processing directly into the host processor's instruction set architecture by introducing quantum-specific execution units (QEU) that can execute quantum instructions natively alongside classical instructions. This integration eliminates the overhead associated with traditional co-processor designs by unifying quantum and classical processing within a single processor core, allowing seamless execution of hybrid quantum-classical algorithms without context switching or data transfer overhead.

Inventive Principle:
Principle #5Merging (Combining)

2Adaptability or versatility

If quantum co-processors are designed to be flexible and programmable, then adaptability improves, but device complexity increases

Engineering Contradiction:
Improvequantum algorithm flexibilityVSAvoidquantum co-processor architecture
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal quantum execution unit that can execute multiple types of quantum instructions (single-qubit gates, multi-qubit gates, measurements, and parameterized operations) through a unified architecture. The QEU uses a configurable instruction decoder and programmable control logic that can be programmed via an instruction set architecture to perform different quantum operations, providing flexibility without requiring separate dedicated hardware for each operation type.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If quantum operations are integrated into existing processor pipelines, then scalability improves, but integration complexity increases

Engineering Contradiction:
Improvequantum computation scalabilityVSAvoidprocessor pipeline integration
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the processor architecture into distinct functional units: a classical execution unit (CEU) for classical instructions, a quantum execution unit (QEU) for quantum instructions, and a shared register file. This segmentation allows each unit to be optimized independently while maintaining simple interconnections through the shared memory and control logic, reducing integration complexity compared to fully homogeneous architectures.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240193451A1Optimized integrated circuit for quantum compilation and execution
Publication Date: 2024.06.13 INTEL CORP
  • US20240193451A1 patent drawing
  • US20240193451A1 patent drawing
  • US20240193451A1 patent drawing

AI summary

Apparatus and method for compiling and executing hybrid classical-quantum programs. For example, one embodiment of an apparatus comprises: a host processor to perform a partial compilation on hybrid quantum-classical source code to generate one or more sequential blocks of quantum operations; a quantum compiler accelerator to receive compilation work offloaded by the host processor including the one or more sequential blocks of quantum operations, the quantum compiler to perform optimization operations to optimize runtime execution of one or more of the quantum operations in view if a quantum accelerator architecture to generate optimized quantum operations; and a quantum execution accelerator having the quantum accelerator architecture to execute the optimized quantum operations to manipulate a state of one or more qubits, to measure a state of the one or more qubits, and to provide measurement data indicating the state to the host processor.