Compiler design for hardware specific decomposition optimizations, tailored to diamond NV centers

TL;DR

This paper introduces a specialized compiler for diamond NV center quantum hardware that optimizes instruction translation, reduces noise effects, and integrates classical operations to enhance circuit fidelity.

Contribution

The paper presents the first compiler tailored for diamond NV center quantum hardware, incorporating hardware-specific instructions and classical operations for improved performance.

Findings

Reduced noise effects in quantum circuits due to diamond-specific decomposition

Successful integration of classical instructions like state tomography

Demonstrated improved circuit fidelity with the specialized compiler

Abstract

Advances in quantum algorithms as well as in control hardware designs are continuously being made. These quantum algorithms, expressed as quantum circuits, need to be translated to a set of instructions from a defined quantum instruction-set architecture (ISA), which are executed by the control hardware. These translations can be done by a compiler, targeting different qubit technologies. Specifically for diamond NV centers, no compiler exists to perform this translation. Therefore, in this paper we present a compiler designed for quantum computers utilizing diamond NV center specific instructions, such as direct carbon control and partial swaps, to reduce execution times and gate count. Additionally, our compiler adds on top of general compilers by allowing classical instructions to perform state tomography and measurement-based operations. The output of the compiler is tested in a diamond NV center specific simulator. Comparing a general compiler output with the diamond NV center specific output of our compiler while applying decoherence and depolarization noise showed reduced noise effects due to diamond specific decomposition. The compiler was also tested to perform state tomography and measurement-based operations, which showed to be functional. Our results show that we have successfully created a compiler with integrated classical and quantum instructions support, which can improve circuit execution fidelity by utilizing diamond specific optimizations.