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This research introduces a new quantum programming language designed to streamline resource estimation by bridging the gap between high-level abstractions and low-level error-correction hardware details. By enabling cross-layer analysis, the framework achieves significant reductions in computational overhead for fault-tolerant algorithms while providing granular accuracy previously missing from existing tools. This advancement is critical for making large-scale quantum computations more practical and efficient as the field moves toward real-world deployment.
Resource Estimation for Fault-Tolerant Quantum Programs
arXiv:2608.04573v1 Announce Type: new Abstract: Fault-tolerant quantum computation enables the deployment of practical quantum algorithms but incurs substantial overhead from error correction, making resource estimation a central concern. Beyond case-by-case analyses, existing quantum programming languages either require programmers to manipulate low-level hardware details, rendering fault-tolerant implementations cumbersome, or abstract away the underlying error-correction schemes, reducing the effectiveness of resource utilization and estimation. To address these limitations while preserving programmability, we present a quantum programming language that enables efficient resource utilization, together with a resource-estimation framework for comprehensive resource analysis. Our framework features programmer-visible abstractions of error-correction schemes and cross-layer program-hardware analysis, allowing systematic exploration of resource trade-offs. We evaluate our approach on detailed fault-tolerant implementations of practical large-scale quantum algorithms, including components typically treated as black boxes in existing frameworks. The results demonstrate that our framework enables substantial resource savings while delivering detailed, fine-grained, and accurate resource estimates for fault-tolerant quantum programs.
Abstract:Fault-tolerant quantum computation enables the deployment of practical quantum algorithms but incurs substantial overhead from error correction, making resource estimation a central concern. Beyond case-by-case analyses, existing quantum programming languages either require programmers to manipulate low-level hardware details, rendering fault-tolerant implementations cumbersome, or abstract away the underlying error-correction schemes, reducing the effectiveness of resource utilization and estimation. To address these limitations while preserving programmability, we present a quantum programming language that enables efficient resource utilization, together with a resource-estimation framework for comprehensive resource analysis. Our framework features programmer-visible abstractions of error-correction schemes and cross-layer program-hardware analysis, allowing systematic exploration of resource trade-offs. We evaluate our approach on detailed fault-tolerant implementations of practical large-scale quantum algorithms, including components typically treated as black boxes in existing frameworks. The results demonstrate that our framework enables substantial resource savings while delivering detailed, fine-grained, and accurate resource estimates for fault-tolerant quantum programs.
Quantum Physics (quant-ph); Programming Languages (cs.PL)
arXiv:2608.04573 [quant-ph]
(or arXiv:2608.04573v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.04573 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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