ND-BSI — the unifying scalar of the Climate Neural OS

import torch, torch.nn as nn, torch.nn.functional as F
from typing import Tuple

class BioStackResidualBlock(nn.Module):
    def __init__(self, in_c, out_c, stride=1):
        super().__init__()
        self.conv1 = nn.Conv1d(in_c, out_c, 5, stride, 2, bias=False)
        self.bn1   = nn.BatchNorm1d(out_c)
        self.conv2 = nn.Conv1d(out_c, out_c, 5, 1, 2, bias=False)
        self.bn2   = nn.BatchNorm1d(out_c)
        self.short = nn.Sequential()
        if stride != 1 or in_c != out_c:
            self.short = nn.Sequential(
                nn.Conv1d(in_c, out_c, 1, stride, bias=False),
                nn.BatchNorm1d(out_c))
    def forward(self, x):
        out = F.gelu(self.bn1(self.conv1(x)))
        out = self.bn2(self.conv2(out)) + self.short(x)
        return F.gelu(out)

class NDBSISynthesisEngine(nn.Module):
    """Fuses 12 multi-modal bio-channels → (ND-BSI, {VITAL,STRESSED,CRITICAL})."""
    def __init__(self, input_features=12, target_classes=3):
        super().__init__()
        self.stem = nn.Sequential(
            nn.Conv1d(input_features, 32, 7, 2, 3, bias=False),
            nn.BatchNorm1d(32), nn.GELU())
        self.layer1 = BioStackResidualBlock(32, 64,  stride=2)
        self.layer2 = BioStackResidualBlock(64, 128, stride=2)
        self.pool   = nn.AdaptiveAvgPool1d(1)
        self.nd_bsi_head = nn.Sequential(
            nn.Linear(128, 32), nn.GELU(),
            nn.Linear(32, 1),   nn.Tanh())              # bounds to [-1, +1]
        self.cls_head = nn.Sequential(
            nn.Linear(128, 64), nn.GELU(), nn.Dropout(0.15),
            nn.Linear(64, target_classes))
    def forward(self, x) -> Tuple[torch.Tensor, torch.Tensor]:
        x = self.layer2(self.layer1(self.stem(x)))
        f = torch.flatten(self.pool(x), 1)
        return self.nd_bsi_head(f), self.cls_head(f)

# engine = NDBSISynthesisEngine(12, 3)
# nd, logits = engine(torch.randn(8, 12, 512))   # 8 hosts · 12 channels · 512 steps

from qiskit import QuantumCircuit
from qiskit.circuit import Parameter

def build_ndbsi_qaoa_weight_optimizer(num_qubits: int = 4, p_layers: int = 2) -> QuantumCircuit:
    """QAOA over adaptive weights (w1..w4).
       α (linear)  → single-domain noise variance
       β (quadr.)  → inter-domain cross-correlation constraints
    """
    qc = QuantumCircuit(num_qubits)
    for q in range(num_qubits):
        qc.h(q)                                            # |+>^n uniform superposition

    gamma = [Parameter(f'gamma_{i}') for i in range(p_layers)]
    beta  = [Parameter(f'beta_{i}')  for i in range(p_layers)]

    for L in range(p_layers):
        # Cost Hamiltonian
        for i in range(num_qubits):
            qc.rz(2 * gamma[L], i)
        for i in range(num_qubits):
            for j in range(i + 1, num_qubits):
                qc.cx(i, j); qc.rz(2 * beta[L], j); qc.cx(i, j)
        qc.barrier()
        # Mixer Hamiltonian
        for i in range(num_qubits):
            qc.rx(2 * beta[L], i)
        qc.barrier()
    return qc

-- Activate geospatial + time-series extensions
CREATE EXTENSION IF NOT EXISTS postgis;
CREATE EXTENSION IF NOT EXISTS timescaledb;

-- 1 · Master BioStack entity registry
CREATE TABLE biostack_entity_registry (
    entity_id         VARCHAR(64) PRIMARY KEY,            -- BIO-ENTITY-YYYYMMDD-XXXX
    farmer_id_token   VARCHAR(64) NOT NULL,
    entity_type       VARCHAR(30) NOT NULL,               -- CROP_PLOT | LIVESTOCK_HERD | BIOREACTOR
    district_region   VARCHAR(100) NOT NULL,
    spatial_boundary  GEOMETRY(Polygon, 4326),
    spatial_centroid  GEOMETRY(Point, 4326),
    created_at        TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX idx_biostack_spatial ON biostack_entity_registry USING gist(spatial_boundary);

-- 2 · TimescaleDB ND-BSI hypertable
CREATE TABLE nd_bsi_state_ledger (
    timestamp             TIMESTAMPTZ NOT NULL,
    entity_id             VARCHAR(64) REFERENCES biostack_entity_registry(entity_id) ON DELETE CASCADE,
    nd_bsi_scalar_score   DECIMAL(5,4) NOT NULL,          -- ∈ [-1.0000, +1.0000]
    canopy_score_s        DECIMAL(4,3),
    rhizosphere_score_m   DECIMAL(4,3),
    livestock_stress_l    DECIMAL(4,3),
    pathogen_load_d       DECIMAL(4,3),
    assigned_action_state VARCHAR(20) NOT NULL,           -- VITAL | STRESSED | CRITICAL
    quantum_weight_w1     DECIMAL(4,3),
    quantum_weight_w2     DECIMAL(4,3),
    quantum_weight_w3     DECIMAL(4,3),
    quantum_weight_w4     DECIMAL(4,3),
    data_quality_score    INT NOT NULL,
    PRIMARY KEY (timestamp, entity_id)
);

SELECT create_hypertable('nd_bsi_state_ledger', 'timestamp',
                         chunk_time_interval => INTERVAL '7 days');

CREATE INDEX idx_ndbsi_entity_time ON nd_bsi_state_ledger (entity_id, timestamp DESC);