A Platform-aware Compilation Framework for Fault-tolerant Quantum Computation

@misc{patil2026platformaware,
  title = {{A Platform-aware Compilation Framework for Fault-tolerant Quantum Computation}},
  author = {Srushti Patil and Susan X. Chen and Andreas Juul Bay-Smidt and Stefan Alaric Schäffer and Peter Krogstrup and Stefano Paesani and Gemma C. Solomon},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.08908},
  eprint = {2609.08908},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.08908},
}

TY  - UNPB
TI  - A Platform-aware Compilation Framework for Fault-tolerant Quantum Computation
AU  - Srushti Patil
AU  - Susan X. Chen
AU  - Andreas Juul Bay-Smidt
AU  - Stefan Alaric Schäffer
AU  - Peter Krogstrup
AU  - Stefano Paesani
AU  - Gemma C. Solomon
PY  - 2026
DA  - 2026/09/08
PB  - arXiv
DO  - 10.48550/arxiv.2609.08908
UR  - https://arxiv.org/abs/2609.08908
AB  - The compilation of an algorithm can vary significantly with the choice of physical hardware platform and error correction model. Yet, current compilation frameworks typically commit to a single architecture-hardware configuration, making it difficult to assess resource estimates across platforms. We present a platform-aware compilation framework that re-compiles a quantum circuit into a hardware-compatible instruction set as well as fault-tolerant operations and provides end-to-end resource estimates in terms of physical-qubit count, time-to-solution, and classical processing time. We benchmark the framework by obtaining end-to-end resource estimates for different compilers, each tailored to the functionalities of specific hardware modalities: connectivity, clock speed, and noise model. As part of this framework, we introduce a transversal active volume (t-AV) compilation architecture designed for the efficient execution of fault-tolerant operations in platforms supporting long-range logical connectivity. We benchmark the framework for Hamiltonian simulation of the 2D Fermi Hubbard model as well as for eigenenergy estimation of a small molecule (trimethylenemethane) as a candidate for early fault-tolerant demonstration of quantum chemistry. For the latter, we show that end-to-end quantum simulations can be achieved with ∼10^4 physical qubits and runtimes ranging from 10^2 ms (photonics, superconducting) to 10^5 ms (neutral atoms).
ER  -