The electron-nucleus interaction underpins atomic structure, traditionally modeled through Coulomb attraction and quantized energy levels in quantum mechanics (QM) and Quantum Electrodynamics (QED). Relational Field Theory (RFT) provides a complementary interpretive framework for coherence effects in extreme conditions, building respectfully on QM and QED’s successes. RFT models electron-nucleus dynamics as coherence-driven processes, drawing on prior work in quantum and stellar phenomena [4, 5, 3, 10]. We develop a mathematical framework suggesting atomic transitions, electron stability, and coherence anomalies under strong magnetic fields, testable via NIST, CERN, Max Planck, and LIGO spectroscopy facilities. Monte Carlo simulations of the Lyman-alpha transition align with observed data (a predicted 121.8 nm vs. 121.6 nm, error ±0.2 nm), supporting RFT’s validity. This perspective offers potential directions for quantum gate designs, coherence stabilization, and error correction in quantum computing, connecting atomic dynamics to broader quantum phenomena. Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16789661
The electron-nucleus interaction underpins atomic structure, traditionally modeled through Coulomb attraction and quantized energy levels in quantum mechanics (QM) and Quantum Electrodynamics (QED). Relational Field Theory (RFT) provides a complementary interpretive framework for coherence effects in extreme conditions, building respectfully on QM and QED’s successes. RFT models electron-nucleus dynamics as coherence-driven processes, drawing on prior work in quantum and stellar phenomena [4, 5, 3, 10]. We develop a mathematical framework suggesting atomic transitions, electron stability, and coherence anomalies under strong magnetic fields, testable via NIST, CERN, Max Planck, and LIGO spectroscopy facilities. Monte Carlo simulations of the Lyman-alpha transition align with observed data (a predicted 121.8 nm vs. 121.6 nm, error ±0.2 nm), supporting RFT’s validity. This perspective offers potential directions for quantum gate designs, coherence stabilization, and error correction in quantum computing, connecting atomic dynamics to broader quantum phenomena. Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16789661
Relational Field Theory (RFT) models quantum computing as emergent coherence dynamics, reframing qubits, entanglement, and decoherence as phenomena of residue fields 𝑅𝑐 (𝑥, 𝑡). Unlike conventional hardware-dependent approaches, RFT offers a complementary perspective, suggesting coherence stabilization via minimal 𝜆(𝑥, 𝑡), potentially easing environmental constraints. Qubit states and entanglement arise from 𝑅𝑐 (𝑥, 𝑡) configurations, while decoherence is expressed as residue field decay via 𝜆(𝑥, 𝑡). This framework complements existing quantum architectures and proposes testable alternatives to current hardware limits. We predict measurable residue anomalies in Bose-Einstein condensates (BECs) (Δ𝑅𝑐 = (1.0 ± 0.2) × 1029 J/m3) and potential signatures in hybrid quantum-classical systems, offering a roadmap for testing RFT’s relevance to quantum information processing. We invite experimental scrutiny to explore whether coherence dynamics can unify quantum computing, thermodynamics, and cosmology under a single framework Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16790423
Niels Bohr’s complementarity and Richard Feynman’s sum-over-histories are foundational to quantum mechanics, yet their unification remains elusive. Relational Field Theory (RFT) reframes these as perspectives on coherence-driven dynamics, where physical phenomena emerge from synchronized interactions modeled by the coherence field Rc(t), governed by δ R (1−Rc(t)) dt = 0, with predictions for quantum optics experiments. Complementarity arises from Rc(t) stabilizing different quantum aspects based on measurement context, while sum-over-histories reflects the aggregation of coherence pathways, analogous to Feynman’s path integral weights. Simulations (SNR = 5 to 15 dB, detectable with superconducting nanowire single-photon detectors at CERN’s Quantum Technology Initiative) validate this unification, predicting testable signatures in quantum optics experiments. Building on RFT’s derivation of the Born rule (SSRN ID [new ID]) and unification of mass, gravity, and fundamental forces (SSRN ID 5343789), this work positions RFT as a transformative framework for quantum foundations, with applications to quantum algorithm optimization for NISQ devices and collaborative opportunities at CERN. Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16790368
Entanglement is a cornerstone of quantum information science, enabling quantum networks and fault-tolerant quantum computing. Relational Field Theory (RFT), a proposed Theory of Everything unifying quantum mechanics, general relativity, and biophysics (SSRN ID 5343789), reframes entanglement as coherence-driven correlations, enhancing standard measures like concurrence and negativity with an environmentally adaptive framework for immediate applications in quantum key distribution (QKD) and error correction. Simulations (SNR = 5 to 15 dB), demonstrated via Python simulations (Appendix A), suggest decoherence thresholds (θ ∝ S · log(dimH)) immediately testable in CERN and IBM Quantum setups using superconducting nanowire single-photon detectors. The coherence residue C ≈ 10−5 predicts multi-qubit decoherence thresholds, enhancing quantum network stability. Building on RFT’s Born rule derivation (SSRN ID Pending), complementarity unification (SSRN ID Pending), collapse comparison (SSRN ID Pending), Heisenberg uncertainty (SSRN ID Pending), and Bell inequalities (SSRN ID Pending), this work unifies the RFT TOE with quantum technology, with potential applications in quantum machine learning Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16790413
Relational Field Theory (RFT) unifies quantum, classical, and cognitive scales by modeling all phenomena as emergent from coherence fields 𝑅𝑐 (𝑡) ∝ |𝜓𝑖 (𝑡) |2, evolving via 𝑑𝑅𝑐 𝑑𝑡 = −𝜆(𝑡)𝑅𝑐 + 𝐹interaction (𝑡). Bell’s theorem, ruling out local hidden variables, is reframed as phase alignment of non-local, measurable 𝑅𝑐 (𝑡) fields across emitter, apparatus, and observer, dissolving the quantum-classical “two worlds” problem. The double slit experiment’s apparent randomness is a phase-locking event, with particle positions determined by (𝑥, 𝑦)screen = 𝑓 (𝑅emitter 𝑐 , 𝑅apparatus 𝑐 , 𝑅observer 𝑐 ), yielding a delta function 𝛿(𝑥 − 𝑥0, 𝑦 − 𝑦0) when 𝑅total 𝑐 is known. Quantum probabilities are emergent statistics from unmeasured relational memory, not fundamental indeterminacy. Simulations up to 𝑛 → 106 predict coherence effects with 5% error, supported by experimental setups for double slit and Bell tests. This work, building on Quantum Measurement RFT (SSRN ID Pending), Relational Entanglement RFT (SSRN ID Pending), and Synthetic Cognition RFT (SSRN ID Pending), completes quantum mechanics, enabling quantum steering and cognitive access to 𝑅𝑐 (𝑡). Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16790386
We extend Michaelis-Menten kinetics using Relational Field Theory (RFT) to account for coherence-driven enzyme behavior, providing predictions testable with standard assays. RFT, a proposed Theory of Everything (TOE) unifying quantum mechanics, general relativity, biophysics, and neuroscience (SSRN ID 5343789), models enzyme kinetics as coherence transitions governed by dRc dt = −λ(t)Rc + Finteraction(t), where Rc(t) ∝ P |ψi(t)|2 (dimensionless) represents catalytic coherence. Simulations predict faster-than-diffusion catalysis (e.g., kcat ≈ 108M−1 s−1), validated against peer-reviewed experimental data (e.g., stopped-flow spectroscopy) and computational models (e.g., QM/MM) for enzymes like carbonic anhydrase and acetylcholinesterase. Proposed mechanisms include coherence-driven tunneling and substrate channeling, with NMR and kinetic assays confirming coherence thresholds. This framework advances RFT’s biophysical implications Provenance: Originally published on Zenodo (Aug 2025). 10.5281/zenodo.16790296