AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs
Abstract
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to the limitations of current quantum devices. Software simulators are time and memory-consuming, making hardware emulators an attractive alternative. This article introduces AMARETTO (quAntuM ARchitecture EmulaTion TechnOlogy), designed for quantum computing emulation on low-tier Field-Programmable gate arrays (FPGAs), supporting Clifford+T and rotational gate sets. It simplifies and accelerates the verification of quantum algorithms using a Reduced-Instruction-Set-Computer (RISC)-like structure and efficient handling of sparse quantum gates. A dedicated compiler translates OpenQASM 2.0 into RISC-like instructions. AMARETTO is validated against the Qiskit simulators. Our results show successful emulation of sixteen qubits on a AMD Kria KV260 SoM. This approach rivals other works in emulated qubit capacity on a smaller, more affordable FPGA
Cite
@article{arxiv.2411.09320,
title = {AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs},
author = {Christian Conti and Deborah Volpe and Mariagrazia Graziano and Maurizio Zamboni and Giovanna Turvani},
journal= {arXiv preprint arXiv:2411.09320},
year = {2025}
}
Comments
paper accepted at the IEEE International Conference on Electronics Circuits and Systems 2024 conference, 4 pages, 6 figures