A novel joint pilot and unknown data localization technique for OFDM opportunistic radar systems that avoids data decoding and achieves superior performance via FFT implementation.
An efficient method for finding the minimum of a function of several variables without calculating derivatives
3 Pith papers cite this work. Polarity classification is still indexing.
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Optimal FALQON optimizes per-layer δ_k and M_k via classical methods, yielding statistically significant gains in success probability and efficiency over standard FALQON on 94 non-isomorphic 3-regular graphs with 12 vertices.
Pauli Correlation Encoding with a trained problem-aware decoder achieves 75-100% near-optimal recovery on mRNA QUBO instances up to 152 variables and matches or exceeds simulator performance on IBM Heron processors for 694-745 variable cases.
citing papers explorer
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Joint Pilot and Unknown Data-based Localization for OFDM Opportunistic Radar Systems
A novel joint pilot and unknown data localization technique for OFDM opportunistic radar systems that avoids data decoding and achieves superior performance via FFT implementation.
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Optimal FALQON for Quantum Approximate Optimization via Layer-wise Parameter Tuning
Optimal FALQON optimizes per-layer δ_k and M_k via classical methods, yielding statistically significant gains in success probability and efficiency over standard FALQON on 94 non-isomorphic 3-regular graphs with 12 vertices.
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Pauli Correlation Encoding for mRNA Secondary Structure Prediction: Problem-Aware Decoding for Dense-Constraint QUBOs
Pauli Correlation Encoding with a trained problem-aware decoder achieves 75-100% near-optimal recovery on mRNA QUBO instances up to 152 variables and matches or exceeds simulator performance on IBM Heron processors for 694-745 variable cases.