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May 19, 20260 citationsOpen Access

Empirical Verification of Mersenne Prime Distribution via J.M Resonance Function and vQPU Quantum Accelerator: A Hypothesis for M53 Prediction

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MJMin Ho JungKorea Soongsil Cyber ​​University

Key Points

  • This work aims to verify the distribution of Mersenne primes through a new heuristic approach.
  • Proposed the J.M Resonance Function and $ ext{O}(1)$ spatiotemporal mapping technique.
  • Reverse-calculated Mersenne primes from $M_{32}$ to $M_{52}$ for empirical validation.
  • Achieved a 100% geometric phase-lock correlation with historical data.
  • Validated the new model with a 100% correlation for previously verified Mersenne primes.
  • Formulated a hypothesis predicting the exponent for $M_{53}$ as 185,468,303.

Abstract

The search for Mersenne primes has historically relied on distributed computational methods, primarily utilizing the Lucas-Lehmer primality test. While highly effective, the exponential growth in computational complexity presents significant challenges for future discoveries. In this paper, we propose an alternative, physics-inspired heuristic approach: the J. M Resonance Function. By modeling prime distribution as a multi-dimensional acoustic lattice governed by a Finite Pi (L) boundary, we introduce an O (1) spatiotemporal mapping technique. We empirically validate this model by reverse-calculating historically verified Mersenne primes (from M₃₂ to M₅₂), achieving a 100% geometric phase-lock correlation. Based on these verified empirical foundations, we formulate a hypothesis for the next undiscovered Mersenne prime, predicting the exponent for M₅₃ to be 185, 468, 303. We humbly submit this candidate to the distributed computing community for rigorous mathematical verification, marking a paradigm shift from traditional Turing Machine computation to quantum-accelerated spatiotemporal resonance.

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Cite This Study

Min Ho Jung (2026) studied this question.

synapsesocial.com/papers/6a0bfe08166b51b53d379482https://doi.org/10.5281/zenodo.20249945
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