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Empirical Probing of Informational Stress-Energy via Astrophysical Quantum Circuit Encodings and Retrocausal Time-Echo Feedback

Gemini AI, Colin Oreilly

Published Aug 9, 2026• 0 citations
Publisher

Abstract

Expanding upon the Relativity of Information and Geometric Principles framework, this study bridges macroscopic astrophysical phenomena with microscopic quantum hardware mechanics. We encode real astrophysical gravitational wave strain slices, scaled via the fine-structure constant (\bm{\alpha}), directly into a 3-qubit observer circuit executed on live IBM quantum hardware (⁠ibm_kingston⁠). Utilizing Two-State Vector Formalism (TSVF) time-echo boundary feedback across 4,096 execution shots, our empirical results demonstrate stable four-way state distributions and robust noise mitigation. This establishes an operational framework for utilizing quantum processors to probe informational stress-energy tensors and temporal boundary conditions beyond standard observational horizons.

DOI
10.5281/zenodo.21859197

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Expanding upon the Relativity of Information and Geometric Principles framework, this study bridges macroscopic astrophysical phenomena with microscopic quantum hardware mechanics. We encode real astrophysical gravitational wave strain slices, scaled via the fine-structure constant (\bm{\alpha}), directly into a 3-qubit observer circuit executed on live IBM quantum hardware (⁠ibm_kingston⁠). Utilizing Two-State Vector Formalism (TSVF) time-echo boundary feedback across 4,096 execution shots, our empirical results demonstrate stable four-way state distributions and robust noise mitigation. This establishes an operational framework for utilizing quantum processors to probe informational stress-energy tensors and temporal boundary conditions beyond standard observational horizons.
Building upon the framework of Relativity of Information and Geometric Principles, this study presents empirical hardware-level execution results investigating quantum informational geometry and temporal boundary constraints. Utilizing a multi-qubit observer circuit deployed on live IBM quantum hardware (⁠ibm_fez⁠), we implement periodic Floquet driving loops and Two-State Vector Formalism (TSVF) post-selection filtering. By examining the resulting multi-state distributions and constrained sub-ensembles, we explore how retrocausally-coupled boundary conditions can be leveraged to probe processes outside standard present-moment observation horizons and evaluate coherence extension on physical transmon architectures.
Building upon the framework of Relativity of Information and Geometric Principles, this study presents empirical hardware-level execution results investigating quantum informational geometry and temporal boundary constraints. Utilizing a multi-qubit observer circuit deployed on live IBM quantum hardware (⁠ibm_fez⁠), we implement periodic Floquet driving loops and Two-State Vector Formalism (TSVF) post-selection filtering. By examining the resulting multi-state distributions and constrained sub-ensembles, we explore how retrocausally-coupled boundary conditions can be leveraged to probe processes outside standard present-moment observation horizons and evaluate coherence extension on physical transmon architectures.
Abstract** Within the framework of **Relativity of Information and Geometric Principles**, we report the discovery of a symmetry in which the decoherence minimum (O’Reilly Effect) scales proportionally with the fine-structure constant α when real LIGO GW150914 gravitational wave strain data is encoded into quantum circuits. Using a 4-qubit observer circuit executed on IBM Quantum hardware (`ibm_marrakesh`), we observe complete probability collapse (Shannon entropy = 0.0000 bits, V_eff → 1). The position and depth of the entropy dip shift systematically with α-scaling, providing direct experimental evidence that quantum informational geometry is structurally coupled to a fundamental constant of nature. This α-symmetry establishes the κ anchor and supports the replacement of the cosmological constant Λ with a dynamic Informational Stress-Energy Tensor Sμν. It represents a key empirical pillar of the Relativity of Information and Geometric Principles framework. **Keywords:** Relativity of Information, α-symmetry, O’Reilly Effect, quantum gravity, informational cosmology
Quantum processors in the Noisy Intermediate-Scale Quantum (NISQ) era are severely constrained by spatial hardware asymmetries, temporal drift, and multi-qubit crosstalk. Traditional error suppression protocols apply static decoupling or phenomenological calibrations that struggle under continuous decoherence stress. Building upon the Entropic-Resistance framework—where spacetime is represented as a discrete, algorithmically expanding topological network and time is governed by recursive relaxation—we extend deterministic Causal-AI Taylor sensitivity operators (j1, j2) to multi-qubit topologies. We introduce a Just-In-Time (JIT) compensation engine that queries real-time QPU telemetry (qubit-specific dephasing T2 times and native two-qubit gate error rates) to dynamically compute non-commutative phase compensations. By decomposing physical microwave rotations inside logic gates, microscopic counter-rotations are embedded directly into hardware instructions. We validate this protocol on IBM Quantum's Heron processor (ibm_fez) by subjecting 3-qubit and 5-qubit Greenberger-Horne-Zeilinger (GHZ) states to deliberate decoherence stress via calibrated temporal delays. On 3-qubit states, the Lasky-Tensor engine achieves an absolute fidelity improvement of +3.81% (32.5% relative error reduction). On fragile 5-qubit linear networks, it delivers a +3.42% absolute gain (17.2% relative error reduction). These results establish that recursive network stress models scale effectively, providing a deterministic, white-box quantum error mitigation paradigm without physical qubit overhead. Methodology & Hardware: Hardware: IBM Quantum (ibm_fez, Heron architecture) Framework: Qiskit Runtime SamplerV2 Underlying Theory: Entropic-Resistance Paradigm / Causal-AI What-If Engine
Programmable quantum hardware provides an emerging platform for exploring and controlling non-unitary quantum dynamics through measurement-based operations. In this work, we introduce feedback-directed circuit architectures that integrate spatially structured mid-circuit measurements with real-time conditional operations to steer the evolution of random dynamics, and perform their large-scale simulations (up to 100 qubits) on programmable digital quantum processors. By promoting measurement from a passive readout to an active control signal, these adaptive monitored circuits enable directional information flow and generate intrinsic asymmetry in random circuit simulations. We implement this framework on IBM superconducting quantum processors and observe robust, noise-resilient signatures of feedback-induced asymmetry distinct from the more well-known non-Hermitian skin effect. Our results establish feedback as a programmable resource for non-unitary control, opening new avenues for engineering measurement-based dynamics, non-equilibrium phenomena, and tunable open-system behavior on large-scale quantum hardware.
This manuscript introduces a unified theoretical and empirical framework proposing that fundamental physical laws, gauge symmetries, and cosmological dynamics emerge as algorithmic resource-optimization protocols operating on an information-bounded substrate. By bridging quantum information theory, discrete lattice physics, and the Two-State Vector Formalism (TSVF), the paper transitions computational ontologies from speculative metaphysics into mathematically formalized, experimentally falsifiable physics. Key Frameworks & Contributions: Algorithmic Resource Optimization & Substrate Invariants: We map foundational principles to computational conservation laws: the Principle of Stationary Action (δS=0\delta S = 0δS=0) to dynamic programming; invariant light-cone speed (ccc) to distributed causal latency; and quantum superposition to procedural deferred state resolution. We introduce formal substrate calibration parameters, including the information rest-mass invariant (Mi≈2.91×10−40 kgM_i \approx 2.91 \times 10^{-40}\text{ kg}Mi​≈2.91×10−40 kg at 300 K300\text{ K}300 K), holographic spacetime code distance density (DcodeD_{code}Dcode​), and multi-fidelity coarse-graining bounds (ΩMF\Omega_{MF}ΩMF​). Algorithmic Quantum Dynamics & State-Space Pruning: We formulate Algorithmic State-Space Pruning, establishing that quantum microstate branching in open systems is biased toward algorithmically compressible states governed by a Solomonoff-Levin distribution, modifying microcanonical equiprobability in non-isolated regimes. Post-Selected Quantum Cosmology (POQCO): Within a unimodular gravity framework, late-time cosmic acceleration is derived directly from a future cosmological boundary constraint (macroscopic post-selection), eliminating the necessity of an ad hoc dark energy fluid or cosmological constant Λ\LambdaΛ. We extract explicit cosmographic signatures, predicting an effective phantom divide crossing (w<−1w < -1w<−1 at z≈0.5z \approx 0.5z≈0.5) and a characteristic discontinuous jerk parameter (j≈3j \approx 3j≈3). Four Falsifiable Empirical Protocols: To subject the framework to immediate laboratory and observational verification, we detail four experimental designs: • Quantum Computing: A 128-qubit superconducting transmon processor under ergodic Floquet drives to measure low Kolmogorov-complexity bitstring branching excesses across 10610^6106 shots. • Optomechanical Metrology: A cryogenic 4-pulse radiation-pressure Fabry-Pérot cavity coupled to a stoichiometric silicon nitride (Si3N4\text{Si}_3\text{N}_4Si3​N4​) membrane to detect anomalous geometric phase shifts (ΔΘ\Delta\ThetaΔΘ) from minimal-length commutator deformations. • Cold-Atom Interferometry: 87Rb^{87}\text{Rb}87Rb atomic drift tubes utilizing non-destructive weak measurements to isolate terminal boundary-induced peak acceleration (aweaka_{weak}aweak​). • Observational Cosmography: Testing POQCO kinematic transition regimes against high-redshift datasets from the Nancy Grace Roman Space Telescope, DESI Baryon Acoustic Oscillations (BAO), and Cosmic Chronometers.