arxiv
PublishedOctober 1, 2026 at 4:00 AM
—neutral
Replay-buffer engineering for noise-aware quantum circuit optimization
Publisher summary· verbatim
arXiv:2604.21863v2 Announce Type: replace-cross Abstract: Deep reinforcement learning for quantum circuit optimization faces three bottlenecks: replay buffers that overlook temporal difference (TD) target reliability, curriculum-based architecture search requiring a full quantum-classical evaluation
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Originally published on arxiv ↗