Qubit Allocation
Resumo
The availability of the first prototypes of quantum computers, in 2016, with free access through the cloud, brought much enthusiasm to the research community. Yet, programming said computers is difficult. One core challenge is the so called qubit allocation problem. This problem consists in mapping the virtual qubits that make up a logical quantum program onto the physical qubits that exist in the target quantum architecture. To deal with this challenge, we have proposed one of the first algorithms to solve qubit allocation. This algorithm, together with its ensuing formulations, is today available in the Enfield compilera concrete product of this work. Our first paper in this field, titled Qubit Allocation, has inspired much research, and our latest qubit allocation design, called Bounded Mapping Tree, stands out today as one of the most effective qubit allocators in the world.
Referências
Devoret, M. H., Wallraff, A., and Martinis, J. M. (2004). Superconducting qubits: A short review. arXiv, cond-mat/0411174:1-41.
Koch, J., Yu, T. M., Gambetta, J., Houck, A. A., Schuster, D. I., Majer, J., Blais, A., Devoret, M. H., Girvin, S. M., and Schoelkopf, R. J. (2007). Charge-insensitive qubit design derived from the cooper pair box. Phys. Rev. A, 76(1):04319.
Li, G., Ding, Y., and Xie, Y. (2019). Tackling the qubit mapping problem for nisq-era quantum devices. In ASPLOS, page 1001-1014. ACM.
Siraichi, M. Y., Santos, V. F. d., Collange, C., and Pereira, F. M. Q. (2019). Qubit allocation as a combination of subgraph isomorphism and token swapping. In OOPSLA, pages 120:1-120:29. ACM.
Siraichi, M. Y., Santos, V. F. d., Collange, S., and Pereira, F. M. Q. (2018). Qubit allocation. In Inter. Symp. on Code Generation and Optimization, page 113-125. ACM.
Siraichi, M. Y. and Tonetti, C. (2018). Enfield: An OpenQASM compiler. In Congresso Brasileiro de Software, Sessao de Ferramentas ̃ , Bento Gonc ̧alves, RS, Brazil. SBC.
