A broad class of psi-adjacent theories proposes that future or distant boundary conditions may subtly bias present outcomes without enabling controllable signaling. These effects, if real, are expected to appear only as weak statistical deviations rather than direct information transfer.
The wu-wei quantum geodesic framework reformulates quantum evolution as a two-boundary problem constrained jointly by past and future conditions. Within this picture, solution trajectories that minimize global constraint “effort” across time—so-called weak motifs—should recur slightly more often than chance, particularly in chaotic or near-critical regimes.
Entropy-based photonic optimizers such as Dirac-3 provide a rare opportunity to probe these claims experimentally. Dirac-3 encodes hard combinatorial optimization problems into open quantum systems driven by ultra-low-photon-number coherent light, where intrinsic quantum fluctuations are a computational resource rather than noise. Because these systems are programmable, scalable, and commercially relevant, they offer a controlled and falsifiable testbed for probing psi-like correlations at scale.
This proposal outlines a 12–15 month experimental program using two physically isolated Dirac-3 systems, operating under strict air-gap and preregistration protocols, to test a series of sharply defined hypotheses involving:
- Cross-site recurrence of solution motifs (“morphic resonance”)
- Loschmidt-echo-style biases in chaotic optimization
- Delayed-choice adaptation to future objectives
- Non-communicating correlations with human and organoid event streams
- Amplification of weak effects via late-stage optimization funnels
The objective is explicitly not to assume the existence of psi, but to either detect robust, replicable structure or establish tight quantitative upper bounds on such effects within a well-instrumented quantum-optimization regime.
The Dirac-3 Entropy Computing Platform
Dirac-3 implements entropy computing using an open photonic architecture. Temporal modes of light function as qudits, and optimization problems are mapped to effective Hamiltonians that guide system relaxation under engineered dissipation and quantum shot noise.
The platform operates with coherent states at extremely low mean photon number (μ), such that fewer than ~1% of pulses contain more than one photon. In this regime, quantum fluctuations are intrinsic to computation rather than a perturbation.
Key capabilities relevant to this program include:
- Programmable k-body interactions, enabling direct mapping of p-spin, Max-k-SAT, and related hard instances.
- Tunable relaxation schedules and photon statistics, allowing controlled entry into chaos-sensitive regimes.
- SDK-level Python control, supporting high-throughput experimentation and precise, timestamped logging.
Two rack-mounted Dirac-3 units will be deployed at independent sites, each with:
- Separate administration, networks, and GPS-disciplined clocks
- Environmental monitoring (temperature, vibration, ambient light)
- UPS-backed racks, secure storage, and dedicated air-gapped analysis workstations
This configuration ensures that any cross-site structure is interpretable against a well-characterized physical and computational background.
Experimental Guardrails: No-Signaling, Blinding, and Drift Control
Given the sensitivity of psi-related claims, the program incorporates explicit safeguards against hidden coupling, experimenter bias, and slow drift.
Air-Gapped Logging
Each site maintains append-only logs recording solutions, motif labels, schedules, photon statistics (μ), resource parameters, RNG seeds, device health, and GPS time. Data is transferred only via controlled offline media with SHA-256 checksums and signed manifests.
No-Signaling Validation
Before any psi-relevant analysis, preregistered decoders attempt to reconstruct hypothetical messages between sites from logged outputs. Any above-chance decoding invalidates the dataset as a psi test and is treated instead as evidence of leakage or unmodeled coupling.
Preregistration and Blinding
All hypotheses, metrics, lag windows, stopping rules, and covariate models are preregistered. Condition labels (e.g., funnel on/off, primed/control, bio/sham) remain blinded until analysis code is frozen and committed.
Drift and Artifact Controls
Randomized instance ordering, detuned control runs, and classical optimizer baselines (simulated annealing, belief propagation, gradient descent) are used to distinguish true cross-site dependencies from environmental or algorithmic drift.
All organoid work is conducted at licensed BSL-2 facilities, which provide only de-identified digital features after campaign completion, ensuring strict regulatory and physical separation.
Core Analytical Framework
Each Dirac-3 run produces a solution state sss, which is discretized into a motif ϕ(s)\phi(s)ϕ(s), such as:
- Clause-satisfaction patterns
- Basin or attractor labels
- Coarse energy-landscape features
Primary analytical tools include:
- Motif mutual information
- Earth-Mover Distance (EMD) between motif distributions
- Motif-level log-odds shifts across conditions
- Windowed mutual information between external event streams E(t)E(t)E(t) and rare outcomes Y(t)Y(t)Y(t)
These metrics are robust to relabeling, support multiple-comparison control, and align naturally with the wu-wei geodesic expectation that low-effort motifs recur slightly more often than chance.
Summary of Experimental Modules
1. Cross-Site Resonant Spin-Glass (X-RSG)
Tests whether motif distributions at one site drift toward those observed at a remote site solving related chaotic instances on prior days.
2. Loschmidt-Echo Bias (LEB)
Examines whether forward-and-reverse optimization at one site increases basin return fidelity at the other site for the same Hamiltonian.
3. Delayed-Choice Objective Binding (DCOB)
Assesses whether early optimization trajectories are preferentially compatible with a future-selected objective revealed mid-run.
4A. Non-Communicating Human Correlation (NC-Human)
Evaluates alignment between rare quantum optimization outcomes and preregistered human EEG or behavioral event windows, without any timing linkage during runs.
4B. Non-Communicating Organoid Correlation (NC-Organoid)
Repeats NC-Human using MEA-recorded activity from brain organoids, under strict biological and data isolation.
5. Funnel-Tuned Morphic Amplification (FTMA)
Tests whether late-stage, high-order penalties (“funnels”) amplify weak cross-site motif alignment and exhibit on/off specificity.
Conclusion
This program positions spatially separated Dirac-3 entropy-quantum-computing systems as a precise, falsifiable laboratory for investigating psi-like correlations. By combining chaos-sensitive quantum optimization, rigorous no-signaling and blinding procedures, and carefully controlled human and organoid event streams, the study aims either to uncover reproducible structure or to impose strong upper bounds on such effects.
Regardless of outcome, the project delivers open datasets, reusable protocols, and a methodological bridge between speculative psi theories and mainstream quantum optimization—moving the discussion from anecdote toward transparent, quantitative, and reproducible experimental science.