Quantum Compiler Function Object Ensemble AST Annotation
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Solution Overview
Problem
Programming for quantum computers is inefficient and cost-ineffective due to the lack of effective methods to leverage their computational strengths, particularly in compiling source code into quantum circuits that can be executed efficiently on these systems.
Innovation Solution
A compiler is developed that generates a function object ensemble, creates an abstract syntax tree from source code, and annotates nodes with corresponding function objects, enabling the compilation of source code into quantum circuits that can be executed on quantum computers, facilitating the generation of quantum circuit descriptions for practical quantum computers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional compilation methods are used for quantum computers, then the compilation process is simple, but the execution efficiency and cost-effectiveness of quantum programs are poor
Solution Approach 1:
The compilation process is segmented into distinct phases: parsing source code into an abstract syntax tree, annotating AST nodes with function objects, generating quantum circuit descriptions, and executing on quantum computers. This segmentation allows each phase to be optimized independently, improving overall execution efficiency while managing complexity through modular design.
Solution Approach 2:
Function objects are pre-compiled and stored in a database before actual quantum program execution. The compiler annotates AST nodes with these pre-compiled function objects during the compilation phase, so that during runtime, the quantum computer can directly execute the referenced functions without additional compilation overhead, significantly improving execution efficiency.
2Adaptability or versatility
If quantum circuits are compiled without function object annotation, then the compilation process is fast, but the quantum programs cannot effectively leverage quantum computational strengths
Solution Approach 1:
Function objects representing quantum operations are pre-compiled and stored in a database during the preliminary phase. When compiling quantum programs, the compiler quickly references these pre-compiled function objects by identifier rather than compiling quantum operations from scratch, reducing compilation time while ensuring proper quantum computational strengths are leveraged through the annotated function objects.
Solution Approach 2:
Instead of compiling quantum operations directly from source code each time, the system creates copies of pre-compiled function objects and attaches them to AST nodes. These function object copies contain the compiled quantum operation data, allowing rapid compilation while maintaining the ability to execute efficient quantum operations that leverage quantum computational strengths.
3Productivity
If detailed function objects are annotated to each AST node, then quantum circuit execution efficiency is improved, but memory consumption increases
Solution Approach 1:
The system attaches copies of function object identifiers to AST nodes rather than storing complete function object data at each node. The actual function objects are stored once in a database, and multiple AST nodes reference the same function object copies by identifier, reducing memory consumption while maintaining execution efficiency through the annotated references.
Solution Approach 2:
Function objects are designed to be universal and reusable across multiple AST nodes. A single function object can be referenced by multiple nodes in the quantum program, and the system manages shared references efficiently. This universality allows detailed function objects to be stored once and reused multiple times, improving execution efficiency without proportionally increasing memory consumption.
Data Source
AI summary
Technologies are described herein to compile a Turing-complete quantum programming language program into a quantum circuit. The techniques described and recited herein include compiling TCQPL source code to generate a quantum circuit by generating a function object ensemble, generating an abstract syntax tree from received source code, and annotating nodes corresponding to the abstract syntax tree with corresponding function objects.