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A Physical Analogy between Molecular Ordering and SAT-to-Ising Annealing

ShivKishan Dubey, Rohit Sharma

TL;DR

The work establishes a direct thermodynamic analogy between cooling-induced molecular order and SAT solving by mapping CNF clauses to a pairwise Ising Hamiltonian via clause gadgetization, then applying simulated annealing. Physics-inspired observables, including energy $E_{logic}$, magnetization $|M|$, and backbone size $b$, reveal a strong energy–order correspondence: as energy decreases, global coherence rises and a fixed backbone emerges, indicating a unified minimization principle for computation and thermodynamics. Using the UF20-91 benchmark near the satisfiability transition, the study reports near-zero final energies and near-unit magnetization ($|M_f|\approx 0.95$) across 10 instances, supporting the notion of energetic crystallization of satisfiable formulas. The results motivate extending the framework to larger and structured SAT problems and to quantum/hybrid annealing, with potential analytical models linking entropy, constraint density, and phase behavior to computational hardness. $E_{logic}(x)=\sum_{j=1}^{m} E_j(x)$ with ground state $E_{min}=0$, $s_i\in\{-1,+1\}$, and $H(s)$ crafted so that satisfiability corresponds to $H_{min}$, illustrating a thermodynamic lens on logical coherence.

Abstract

As temperature drops, molecular systems may undergo spontaneous ordering, moving from random behavior to orderly structure. This research demonstrates a direct analogy between this type of thermodynamic ordering in molecular systems and the development of coherent logic in computationally complex problem sets. We have proposed a mapping of Boolean SAT problem instances to pairwise Ising Hamiltonian models. Using simulated annealing, we then applied phenomenal cooling to the system through thermal evolution from high entropy random assignment to lower entropy, ordered assignments (the energy minima) using molecular cooling analogs. This indicated that there was a rapid "first-order" or "logical crystallization" of satisfiable logical configurations. The degree of backbone rigidity did not strongly correlate with the level of physical ordering observed in the system; thus, it appears that there is primarily a local alignment of constraint satisfaction occurring in the system. Thus, we have provided empirical evidence that satisfiable logical configurations are analogous to the low energy crystalline states observed in molecular systems and provide evidence for a unified thermodynamic view of computational coherence and complexity.

A Physical Analogy between Molecular Ordering and SAT-to-Ising Annealing

TL;DR

The work establishes a direct thermodynamic analogy between cooling-induced molecular order and SAT solving by mapping CNF clauses to a pairwise Ising Hamiltonian via clause gadgetization, then applying simulated annealing. Physics-inspired observables, including energy , magnetization , and backbone size , reveal a strong energy–order correspondence: as energy decreases, global coherence rises and a fixed backbone emerges, indicating a unified minimization principle for computation and thermodynamics. Using the UF20-91 benchmark near the satisfiability transition, the study reports near-zero final energies and near-unit magnetization () across 10 instances, supporting the notion of energetic crystallization of satisfiable formulas. The results motivate extending the framework to larger and structured SAT problems and to quantum/hybrid annealing, with potential analytical models linking entropy, constraint density, and phase behavior to computational hardness. with ground state , , and crafted so that satisfiability corresponds to , illustrating a thermodynamic lens on logical coherence.

Abstract

As temperature drops, molecular systems may undergo spontaneous ordering, moving from random behavior to orderly structure. This research demonstrates a direct analogy between this type of thermodynamic ordering in molecular systems and the development of coherent logic in computationally complex problem sets. We have proposed a mapping of Boolean SAT problem instances to pairwise Ising Hamiltonian models. Using simulated annealing, we then applied phenomenal cooling to the system through thermal evolution from high entropy random assignment to lower entropy, ordered assignments (the energy minima) using molecular cooling analogs. This indicated that there was a rapid "first-order" or "logical crystallization" of satisfiable logical configurations. The degree of backbone rigidity did not strongly correlate with the level of physical ordering observed in the system; thus, it appears that there is primarily a local alignment of constraint satisfaction occurring in the system. Thus, we have provided empirical evidence that satisfiable logical configurations are analogous to the low energy crystalline states observed in molecular systems and provide evidence for a unified thermodynamic view of computational coherence and complexity.

Paper Structure

This paper contains 25 sections, 19 equations, 2 figures, 2 tables.

Figures (2)

  • Figure 1: Schematic overview of the methodological workflow. Input CNF instances are transformed into Ising Hamiltonians via gadgetization (Eq. 3). The resulting pairwise spin model is annealed using a Metropolis cooling schedule, generating time series of energy and magnetization. Final observables---energy, magnetization, backbone size, and clause slack---are correlated to quantify the relationship between logical rigidity and physical ordering.
  • Figure 2: Simulation of thermodynamic evolution of SAT instances of UF20-91 under simulated annealing. (a) Energy in all cases decreased monotonically as a function of decreasing temperatures. (b) It showed a first-order phase transition to an ordered state. (c) Energy--Order trajectories are smooth and show that each instance evolved towards a low-energy ordered state.. (d) Power-law analysis confirms near-instantaneous crystallization behavior ($\beta\!\approx\!0.003$).

Theorems & Definitions (10)

  • Definition 2.1: Logical Configuration and Formula Energy
  • Definition 2.2: Spin Representation and Ising Equivalence
  • Definition 2.3: Temperature and Computational Cooling
  • Definition 2.4: Magnetization as an Order Parameter
  • Definition 2.5: Backbone Rigidity
  • Definition 2.6: Clause Slack and Energy Density
  • Definition 2.7: Annealing Energy Evolution
  • Definition 2.8: Energy–Order Correspondence
  • Definition 2.9: Critical Transition Point
  • Definition 2.10: Logical–Physical Equivalence Principle