Scalable Framework for Riemann Hypothesis Falsification: Quantum Algorithmic Complexity and Conformal Invariance Constraints
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Description
This paper proposes a scalable quantum-classical hybrid computational frame
work for falsifying the Riemann hypothesis within finite ranges of nontrivial zeros.
Core innovations include: (1) A hierarchical phase estimation algorithm achieving
polynomial-time complexity verification for zeros at scales up to T = 1015; (2)
A conformal field theory-based boundary operator ˆRN with conformally invari
ant norm ∥ · ∥CFT, eliminating arbitrary threshold selection; (3) A fault-tolerant
implementation scheme using ion trap quantum processors. Theoretically, verifi
cation of zeros deviating from the critical line with |Im(s)| < 1015 is achievable
using Nq = 103 qubits. Experimental validation demonstrates > 0.97 fidelity at
T =1010 on an ion trap platform (d = 7 surface code) with 36-hour runtime
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Scalable Framework for Riemann Hypothesis Falsification Quantum Algorithmic Complexity and Conformal Invariance Constraints.pdf
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