Design and Architecture of the IBM Quantum Engine Compiler

In this work, we describe the design and architecture of the open-source Quantum Engine Compiler (qe-compiler) currently used in production for IBM Quantum systems. The qe-compiler is built using LLVM's Multi-Level Intermediate Representation (MLIR) framework and includes definitions for several dialects to represent parameterized quantum computation at multiple levels of abstraction. The compiler also provides Python bindings and a diagnostic system. An open-source LALR lexer and parser built using Bison and Flex generates an Abstract Syntax Tree that is translated to a high-level MLIR dialect. An extensible hierarchical target system for modeling the heterogeneous nature of control systems at compilation time is included. Target-based and generic compilation passes are added using a pipeline interface to translate the input down to low-level intermediate representations (including LLVM IR) and can take advantage of LLVM backends and tooling to generate machine executable binaries. The qe-compiler is built to be extensible, maintainable, performant, and scalable to support the future of quantum computing.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.00106
Citations
4
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
1.39
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article

Design and Architecture of the IBM Quantum Engine Compiler

Kit Barton, Michael B. Healy, Marius Hillenbrand, V. R. Pascuzzi et al.
4 citations
Quantum Computing Algorithms and Architecture
1.39
article

Design and Architecture of the IBM Quantum Engine Compiler

Kit Barton, Michael B. Healy, Marius Hillenbrand, V. R. Pascuzzi, Hiroshi Horii, Reza Jokar, Roy Elkabetz, Brian C. Donovan, Thomas A. Alexander, Soolu Thomas
article en
4 citations

Abstract

In this work, we describe the design and architecture of the open-source Quantum Engine Compiler (qe-compiler) currently used in production for IBM Quantum systems. The qe-compiler is built using LLVM's Multi-Level Intermediate Representation (MLIR) framework and includes definitions for several dialects to represent parameterized quantum computation at multiple levels of abstraction. The compiler also provides Python bindings and a diagnostic system. An open-source LALR lexer and parser built using Bison and Flex generates an Abstract Syntax Tree that is translated to a high-level MLIR dialect. An extensible hierarchical target system for modeling the heterogeneous nature of control systems at compilation time is included. Target-based and generic compilation passes are added using a pipeline interface to translate the input down to low-level intermediate representations (including LLVM IR) and can take advantage of LLVM backends and tooling to generate machine executable binaries. The qe-compiler is built to be extensible, maintainable, performant, and scalable to support the future of quantum computing.

Cambridge Scientific (United States) (US), IBM (Germany) (DE), IBM (Canada) (CA), IBM Research - Thomas J. Watson Research Center (US), IBM Research - Tokyo (JP), IBM Research - Haifa (IL)
Openalex Percentile: Top 15%
Quantum Computing Algorithms and Architecture
1.39
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Design and Architecture of the IBM Quantum Engine Compiler — Kit Barton, Michael B. Healy, et al. · (2024) | TGRS Research Map | TGRS