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Trapped Ion Quantum Computing
Superconducting Qubits
Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler
arXiv
Authors: Thien Nguyen, Dmitry Lyakh, Raphael C. Pooser, Travis S. Humble, Timothy Proctor, Mohan Sarovar
Year
2021
Paper ID
40437
Status
Preprint
Abstract Read
~2 min
Abstract Words
125
Citations
N/A
Abstract
Quantum computing promises remarkable approaches for processing information, but new tools are needed to compile program representations into the physical instructions required by a quantum computer. Here we present a novel adaptation of the multi-level intermediate representation (MLIR) integrated into a quantum compiler that may be used for checking program execution. We first present how MLIR enables quantum circuit transformations for efficient execution on quantum computing devices and then give an example of compiler transformations based on so-called mirror circuits. We demonstrate that mirror circuits inserted during compilation may test hardware performance by assessing quantum circuit accuracy on several superconducting and ion trap hardware platforms. Our results validate MLIR as an efficient and effective method for collecting hardware-dependent diagnostics through automated transformations of quantum circuits.
Why This Paper Matters
- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
- It adds a 2021 reference point for readers tracking recent quantum research.
- Quantum computing promises remarkable approaches for processing information, but new tools are needed to compile program representations into the physical instructions required...
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