C-Phase-Aware Compilation for Efficient Fault-Tolerant Quantum Execution
Abstract
Achieving practical quantum advantage on fault-tolerant quantum computers (FTQC) is fundamentally constrained by the substantial spatial and temporal overheads required to map logical operations onto physical hardware. Existing compilation approaches typically adopt coarse-grained, slice-based abstractions that overlook fine-grained microarchitectural effects, such as routing contention, leading to inefficient resource utilization and limited alignment between algorithm structure and hardware capabilities. We introduce Qomet, a microarchitecture-aware compiler that tightly couples algorithmic properties with lattice surgery (LS) execution. By exploiting C-Phase gate commutativity, Qomet translates sequential operations into simultaneous multi-target interactions, natively leveraging LS to eliminate false dependencies and expose instruction-level parallelism. To support this, Qomet employs an adaptive, event-driven scheduler that captures precise spatial and routing constraints to overlap instructions temporally. By minimizing grid idling and routing contention, Qomet achieves a geometric-mean execution speedup of 4.29× and a maximum speedup of 59.7× across realistic workloads.
Related
- Fault-tolerant execution of error-corrected quantum algorithms
- Verified Pauli-Product Measurement Compilation for Fault-Tolerant Quantum Computation
- A Platform-aware Compilation Framework for Fault-tolerant Quantum Computation
- Arbitrarily Loss-Tolerant Quantum Position Verification in a Single Execution
- FT-Weave: Real-Time Compilation Framework for Reconfigurable Fault-Tolerant Quantum Architectures
BibTeX
@misc{bharadwaj2026cphaseaware,
title = {{C-Phase-Aware Compilation for Efficient Fault-Tolerant Quantum Execution}},
author = {Dhanvi Bharadwaj and Siddharth Dangwal and Yuewen Hou and Gokul Subramanian Ravi},
howpublished = {arXiv},
year = {2026},
month = aug,
doi = {10.48550/arxiv.2605.14042},
eprint = {2605.14042},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.14042},
}
RIS
TY - UNPB
TI - C-Phase-Aware Compilation for Efficient Fault-Tolerant Quantum Execution
AU - Dhanvi Bharadwaj
AU - Siddharth Dangwal
AU - Yuewen Hou
AU - Gokul Subramanian Ravi
PY - 2026
DA - 2026/08/30
PB - arXiv
DO - 10.48550/arxiv.2605.14042
UR - https://arxiv.org/abs/2605.14042
AB - Achieving practical quantum advantage on fault-tolerant quantum computers (FTQC) is fundamentally constrained by the substantial spatial and temporal overheads required to map logical operations onto physical hardware. Existing compilation approaches typically adopt coarse-grained, slice-based abstractions that overlook fine-grained microarchitectural effects, such as routing contention, leading to inefficient resource utilization and limited alignment between algorithm structure and hardware capabilities. We introduce Qomet, a microarchitecture-aware compiler that tightly couples algorithmic properties with lattice surgery (LS) execution. By exploiting C-Phase gate commutativity, Qomet translates sequential operations into simultaneous multi-target interactions, natively leveraging LS to eliminate false dependencies and expose instruction-level parallelism. To support this, Qomet employs an adaptive, event-driven scheduler that captures precise spatial and routing constraints to overlap instructions temporally. By minimizing grid idling and routing contention, Qomet achieves a geometric-mean execution speedup of 4.29× and a maximum speedup of 59.7× across realistic workloads.
ER -