Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
Quantum Fast-Weight Programmers (QFWPs) store temporal information in dynamically programmed variational-circuit parameters rather than in nonlinear recurrent hidden states, offering a practical route to quantum sequence modeling. Self-Modulating QFWP improves this framework by using input-dependent gates for both new fast-weight updates and the accumulated fast-weight state, but its unbounded old-state multiplier can diverge in long-sequence regimes. We propose a bounded old-state modulation rule that applies a sign-preserving tanh gate only to the recurrent memory branch while leaving the ad
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- Linked via arxiv authorKuo-Chung Peng →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorJiun-Cheng Jiang →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorChun-Hua Lin →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorYifeng Peng →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorJunghoon Justin Park →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorHuan-Hsin Tseng →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorHsin-Yi Lin →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorKuan-Cheng Chen →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorChen-Yu Liu →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorShinjae Yoo →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
- Linked via arxiv authorSamuel Yen-Chi Chen →
Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates