Under cached oracle responses, identification and output-quality ceilings are governed by total variation distance and expected transcript-computable score; fresh responses raise these ceilings at the Chernoff rate for identification and via geometric stopping for output quality.
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In untrusted strategic settings with unreliable measurements, the quantum primitive for output-hiding function sharing permits parties to generate private unbiased coins.
Proposes a quantum primitive for output-hiding function sharing with applications to enhanced QKD security and hidden joint function encoding.
citing papers explorer
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Computing with Stochastic Oracles in AI-Augmented Computation
Under cached oracle responses, identification and output-quality ceilings are governed by total variation distance and expected transcript-computable score; fresh responses raise these ceilings at the Chernoff rate for identification and via geometric stopping for output quality.
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Quantum Primitive for Output-Hiding Function Sharing: Strategic Settings
In untrusted strategic settings with unreliable measurements, the quantum primitive for output-hiding function sharing permits parties to generate private unbiased coins.
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Quantum Primitive for Output-Hiding Function Sharing: QKD and Joint Computation Applications
Proposes a quantum primitive for output-hiding function sharing with applications to enhanced QKD security and hidden joint function encoding.