Researchers develop three-layer quantum compiler architecture for fault-tolerant systems, moving beyond circuit optimization to encoding-aware compilation. Demonstrated effectiveness on thousand-qubit superconducting processors.

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~28% of quantum transpiler bug fixes repair faults that output-equivalence oracles cannot detect. This empirical study of 68 Qiskit fixes reveals blind spots in standard correctness testing, with validation across tket and Cirq compilers.

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QuTuner achieves up to 84.85% improvement in quantum compiler optimization on Qiskit through ML-guided pass tuning combining static circuit features with optimization-aware embeddings, reducing tuning time by 73.59%.

#QuantumCompilers #MachineLearning #QuantumOptimization

Classiq's redesigned Qmod compiler now outputs Qmod format, achieving 10x faster compilation with better scalability. The modular architecture preserves loops and classical control flow, making iterative algorithms much more efficient.

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Frontier LLMs can generate working quantum compiler code for trapped-ion systems from written specifications, reducing development time from months to days while achieving 76% fewer shuttling operations than hand-crafted compilers.

#TrappedIon #QuantumCompilers #Research

New IR enables runtime gate manipulation for hybrid quantum-classical programs. Demonstrates 47% more concise representation than QIR with improved optimization across quantum-classical boundaries through dynamic gate model.

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NAViz visualization tool for neutral atom quantum computers enables real-time analysis of compilation strategies. Used to identify routing inefficiencies and develop a hybrid strategy that outperforms existing approaches on key benchmarks.

#NeutralAtomQubits #QuantumCompilers #Research

New compile-time optimization technique for dynamic quantum circuits with mid-circuit measurements. BQCP enables path-sensitive analysis across conditional branches, achieving larger circuit reductions than existing optimization passes.

#QuantumCompilers #CircuitOptimization #Research

HBR decomposition framework reveals where quantum compilers lose fidelity across synthesis, basis translation, and routing stages. Circuit-class dependent bottlenecks validated on IBM Heron and IonQ Forte across three production SDKs.

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Novel compiler automatically detects and transforms GHZ state creation and CNOT/CZ chains, reducing circuit depth to logarithmic or constant levels—critical for improving NISQ-era quantum algorithm efficiency.

#QuantumCompilers #CircuitOptimization #Research

Novel action-space formulation and masking strategies improve quantum circuit compilation on distributed architectures, achieving 35% reduction in execution time with 64% faster training.

#DistributedQC #QuantumCompilers #Research

T-depth fails to predict runtime under bounded magic-state delivery. Two new metrics—slack ratio and Δmax—better forecast stalls and slowdown. A provable makespan lower bound holds across 4,904 instances, with 88.9% within one cycle of the bound.

#FaultTolerantQC #QuantumCompilers #Research