Unified Quantum Compiler for Classical-to-Gate Code Translation
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Solution Overview
Problem
The limited accessibility and lack of novel algorithms in quantum computing are hindered by the architectural differences between classical and quantum computers, necessitating a unified computing language that can be compiled for both types of processors.
Innovation Solution
A quantum compiler that refactors and converts source code written in a unified language into executable code for both quantum and digital computers, utilizing modules for code refactoring, high-level quantum language conversion, and gate-level optimization to leverage quantum interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If quantum computers use specialized quantum computational models and architectures, then quantum computational power and capabilities are improved, but accessibility and ease of use for classical computer scientists deteriorate
Solution Approach 1:
The patent creates a unified computing language (Carbon) and compiler system that enables a single programming language to target multiple computational platforms (classical and quantum computers). This universality allows quantum computational capabilities to be accessed through familiar classical programming constructs, eliminating the need for separate quantum programming languages and thus improving accessibility while preserving quantum power.
Solution Approach 2:
The patent introduces a compiler as an intermediary layer between the high-level unified programming language (Carbon) and the underlying quantum computational model. This compiler automatically performs the complex task of translating classical-style code into quantum operations, serving as a mediator that shields users from quantum complexity while enabling quantum computational power.
2Manufacturing precision
If separate programming languages are used for quantum and classical computers, then platform-specific optimization is improved, but device complexity and development burden increase
Solution Approach 1:
The unified Carbon programming language and compiler system performs automatic platform detection and code generation, enabling a single source code to be optimized for both classical and quantum platforms. This eliminates the need for separate programming languages while maintaining platform-specific optimization capabilities through the compiler's intelligent code generation.
Solution Approach 2:
The patent employs parameter changes by detecting the target platform (classical or quantum) and dynamically adjusting compilation parameters and optimization strategies. The compiler transforms the same high-level code into different low-level representations based on the target platform's characteristics, achieving platform-specific optimization without requiring separate languages.
3Reliability
If quantum algorithms are developed by specialists only, then algorithm correctness and quantum expertise are improved, but productivity and algorithm diversity decrease
Solution Approach 1:
The unified programming language and compiler system enables classical computer scientists to independently develop quantum algorithms using familiar programming constructs without requiring deep quantum expertise. The compiler handles the complex quantum-specific transformations automatically, allowing developers to focus on algorithmic logic rather than quantum implementation details, thus increasing productivity while maintaining correctness.
4Ease of manufacture
If variational techniques are used extensively in quantum implementations, then ease of implementation is improved, but algorithmic innovation and fundamental new algorithms decrease
Solution Approach 1:
The patent creates a dynamic compilation system that can adaptively transform code into different quantum algorithmic patterns. Rather than forcing all implementations into variational techniques, the compiler dynamically selects appropriate quantum algorithms and transformations based on the problem structure, enabling both easy implementation of variational methods when appropriate and innovation through diverse algorithmic approaches when beneficial.
Data Source
AI summary
Computer systems and methods are provided for compiling a computer program to run on a quantum processor comprising a plurality of qubits, qudits or quantum continuous variables. A compiler obtains the program in a unified language, that is effectively a classical language, as opposed to a quantum language, and performs code refactoring on all or a portion of the program to form a refactored code and converts the refactored code into a first code. The compiler compiles the first code into a second code comprising a plurality of data elements in one or more quantum data structures. The compiler converts the second code to a third code expressed in a quantum gate-level language in accordance with an instruction set and gate locality constraints of the target quantum processor.