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Published February 13, 2026 | Version v1
Publication Open

Breaking the Tractability Barrier: A Generic Low-Level Solver for NP-Hard Instances (N=63) on Commodity 64-Bit Silicon

Description

Erratum: For instances with N = 63, the execution time was incorrectly reported as 0.6 s. The correct measured value is 0.1 s.

Feedback and independent verification are welcome. Thank you.

 

Abstract:

This work presents the experimental validation of a generic low-level hardware architecture designed to achieve tractability beyond state-of-the-art barriers for NP-hard optimization. The system solves Longest Path and Hamiltonian Path instances up to the physical limit of 64-bit registers (N=63 nodes) in sub-second time on a consumer mobile processor.

Key Achievements:

  • The 64-Bit Frontier: Successfully solved instances of N=63 (Search space \approx 1.9 X 10^{87} permutations) in 0.673 seconds.
  • Constructive Proof: The complete Hamiltonian path for N=63 is verified and printed, demonstrating 63 unique nodes and zero duplicates.
  • Thermodynamic Invariance: Stress tests confirm bit-perfect determinism even under extreme thermal throttling (80°C), proving the architecture utilizes physical entropy as a computational resource rather than an error source.

 

Methodology:

The architecture operates entirely within CPU registers using bitwise operations (AND, OR, XOR, CTZ) and requires zero external memory allocation. It employs a Thermodynamic Chaos Engine to harvest entropy from race conditions and a Prime-Factor Structural Pruning heuristic to reduce the search space by ~97.4% in dense topologies.

Conclusion:

This work validates that NP-hard industrial optimization is achievable through physics-aware co-design of algorithm and silicon substrate, portable to any modern 64-bit processor (x86, ARM, RISC-V).

 

lctrnc1@gmail.com

Files

PIROLO2026HFP_Generic_Solver_FINAL_v2.pdf

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Additional details

Software

Repository URL
https://zenodo.org/uploads/18627662
Programming language
C