Treating the replay buffer as a central lever in RL for quantum circuit optimization yields 4-32x sample efficiency gains, up to 67.5% faster episodes, and 85-90% fewer steps to accuracy on noisy molecular and compilation tasks.
Enabling technologies for scalable su- perconducting quantum computing
3 Pith papers cite this work. Polarity classification is still indexing.
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A physics-grounded dilution-fridge simulator with LLM agents achieves supervised-ML parity on cryogenic fault classification using six demonstrations and no training, validated on simulated telemetry plus a real-hardware false-alarm check.
This review surveys cryogenic electronics approaches for superconducting FTQCs and introduces a first-order resource estimation framework benchmarked on RSA-2048 scale.
citing papers explorer
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Replay-buffer engineering for noise-robust quantum circuit optimization
Treating the replay buffer as a central lever in RL for quantum circuit optimization yields 4-32x sample efficiency gains, up to 67.5% faster episodes, and 85-90% fewer steps to accuracy on noisy molecular and compilation tasks.
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Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure
A physics-grounded dilution-fridge simulator with LLM agents achieves supervised-ML parity on cryogenic fault classification using six demonstrations and no training, validated on simulated telemetry plus a real-hardware false-alarm check.
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Integration and Resource Estimation of Cryoelectronics for Superconducting Fault-Tolerant Quantum Computers
This review surveys cryogenic electronics approaches for superconducting FTQCs and introduces a first-order resource estimation framework benchmarked on RSA-2048 scale.