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Other literature type . 2025
Data sources: ZENODO
ZENODO
Other literature type . 2025
Data sources: Datacite
ZENODO
Other literature type . 2025
Data sources: Datacite
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Fluid Quantum Logic: Zero-Shot Reprogrammability via Ancilla Superposition

Authors: Close, Larsen James;

Fluid Quantum Logic: Zero-Shot Reprogrammability via Ancilla Superposition

Abstract

Fluid Quantum Logic demonstrates that quantum circuits possess native computational primitives requiring no training. A 6-qubit reprogrammable logic unit achieves 100% accuracy on AND, OR, and XOR operations through ancilla rotation alone, with zero parameter updates. Key Results: Zero-shot logic gates (AND/OR/XOR) via circuit geometry Program synthesis reveals only 4/16 Boolean functions native to topology 43% quantum interference in attention mechanisms Perceptual bistability (62-76%) via measurement sampling 100% accuracy on audio rhythm detection with zero training Noise robustness: truth-table preservation at p=0.1 depolarizing noise Platform-independent validation (PennyLane + Qiskit) The architecture implements "field programmability via state preparation" — quantum superposition of logic gates within a single execution cycle. Patent Pending: USPTO 63/921,961 Contents: paper/fluid_quantum_logic.pdf — Full paper demonstrations/ — 5 reproducible Python experiments Requirements: PennyLane ≥0.35, PyTorch ≥2.0, NumPy ≥1.24

Keywords

Parameterized Quantum Circuits, NISQ, Quantum Computing, Zero-Shot Learning, Qiskit, Quantum Circuits, Quantum Neural Networks, PennyLane, Quantum Machine Learning, Consciousness Modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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