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arXiv · 2609.29267

MagiCFirm: A Runtime for Magic-State Cultivation with Algorithm-Hardware Co-Design

Jubo Xu·Abbas B. Ziad·Prakash Murali·Hongxiang Fan
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Abstract

Magic-state cultivation offers a promising alternative for lowering the cost of non-Clifford operations in fault-tolerant quantum computing (FTQC). However, realizing cultivation in practice exposes two challenges: (i) the lack of an open-source classical runtime layer between logical software and physical control, and (ii) the latency constraints on protocol-specific decisions that determine magic-state readiness. To address these challenges, we adopt an algorithm--hardware co-design approach. At the algorithm level, we develop a two-stage early-escape scheme that identifies an informative subset of detectors offline, constructs a compact decoding problem, and performs partial decoding in parallel with complete decoding at runtime, allowing high-confidence attempts to advance before full decoding completes. At the hardware level, we present MagiCFirm, a configurable runtime that combines offline-compiled microprograms with dedicated datapaths for detector construction, event processing, and protocol control, enabling end-to-end execution of magic-state cultivation. Across evaluated configurations, MagiCFirm reduces wall-clock magic-state preparation time by up to 39.3% at matched logical error rate. For a representative magic-state-bound workload, this translates to an estimated 11% reduction in overall application runtime.

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Jubo Xu, Abbas B. Ziad, Prakash Murali, Hongxiang Fan. 2026-09-24. MagiCFirm: A Runtime for Magic-State Cultivation with Algorithm-Hardware Co-Design. https://arxiv.org/abs/2609.29267

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