One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization
One-bit post-training quantization represents each weight using only its sign, requiring all deployment contexts to share the same binary weight matrix even when their activation statistics favor different sign patterns. We study this shared-sign constraint and introduce Quantum Random Access Quantization (QRAQ). This framework encodes context-dependent signs in a quantum random-access code and retrieves them via context-matched Pauli measurements. Under an explicit fresh-copy logical readout model, QRAQ produces an unbiased, context-specific binary surrogate with a tractable shot-noise penalty. We prove a row-wise separation from shared-sign one-bit PTQ with signed per-row scales. When t...
| Authors | Yuma Ichikawa, Moeto Mishima |
|---|---|
| Primary category | quant-ph |
| Published | 5 August 2026 |
| Last updated at source | 5 August 2026 |
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