The Universe is 76.8 Billion Years Old: Dating by the Fossil Method Applied to the Galaxy KiDS JO842+OO59 via DUT Quantum Simulator

he Dead Universe Theory (DUT) interprets the observable universe as a localized thermodynamic fluctuation within a structurally collapsed continuum cosmos that is significantly older. This work presents the application of advanced DUT Fossil Method simulations to the galaxy KiDS J0842+0059, using the DUT Quantum Simulator. Developed with rigorous mathematical foundations and anchored in cosmic fossil records, this new method of dating the universe does not assume a single fixed age. Instead, it dynamically adjusts the estimate as different fossil galaxies are analyzed. Unlike the ΛCDM paradigm, it is not based on metric expansion, but on gravitational separation within an asymmetric thermodynamic retraction. Based on quantum-scenario parameters and direct calculation of stable formation time through a regularized gravitational potential, we obtained a real cosmic age of 76.8 ± 3.2 billion years within the DUT framework. This value is substantially greater than the ΛCDM estimate (13.8 Gyr), but it is neither inflated nor arbitrarily reduced; it evolves as new fossil data become available. Moreover, if the Fossil Method were applied within the ΛCDM framework, it would almost certainly challenge — and potentially invalidate — the current Big Bang chronology. The results were validated and timestamped via blockchain, ensuring scientific priority and integrity. DUT also predicted the existence of compact, red, and massive galaxies at extreme redshifts (z ≈ 9–20) as early as March 2025. These objects, referred to in DUT terminology as Little Red Dots (LRDs) — a conceptual adaptation of the Small Red Dots (SRDs) originally introduced in JWST observations — naturally emerge in the DUT framework as low-entropy structures formed shortly after the cosmic inflection point. Subsequent JWST observations confirmed equivalent sources, including CAPERS-LRD-z9, JADES-GS-z13-0, and CEERS-93316. While such discoveries strongly challenge the ΛCDM timeline for early galaxy formation, they are a direct and expected outcome of DUT cosmology, reinforcing its predictive and falsifiable nature. Based on the article Little Red Dots and the DUT Framework, the DUT Quantum Simulator anticipated key properties of LRDs before JWST observations: (i) high stellar masses (10⁶–10⁸ M⊙) within the first 200–300 Myr; (ii) quiescent environments with extremely low star formation rates; (iii) dust obscuration, making them detectable only in the infrared; (iv) infrared-dominated spectra at 2.5–5 μm without strong high-ionization lines; and (v) compact, non-singular structures regulated by entropic potentials. These features were simulated and published with DOIs months prior to JWST confirmations, including the detection of CAPERS-LRD-z9 at z = 9.288 (ApJL 989 L7, DOI: 10.3847/2041-8213/ade789), currently the most distant known AGN signature. DUT (v4.0) simulations matched in detail the observed properties — compact morphology, dust profiles, and broad hydrogen line emission — fully documented through open-source simulations with timestamped records. Furthermore, the DUT framework predicted additional LRD characteristics: elevated dust temperatures beyond standard expectations, supermassive black holes disproportionate to stellar mass, velocity dispersions indicating early dynamical maturity, and the occurrence of LRDs within proto-cluster environments. Populations at z ≳ 12 were also predicted, some exhibiting broad-line double-peaked profiles from binary primordial black holes, acting as seeds for large-scale structure formation during the thermodynamic retraction phase. In DUT cosmology, LRDs are gravitational fossils of a thermodynamic retraction epoch — direct and falsifiable signatures of primordial black hole nucleation in a collapsing spacetime. This predictive, computationally validated approach provides a physically grounded alternative for interpreting extreme-redshift AGNs and reshapes the theoretical landscape of early structure formation.