Quantum-Enabled Operational Transformation

Technical Specification

API Architecture: GraphQL Federation with gRPC microservices
Event Sourcing: Kafka clusters for audit trail (immutable ledger)
Container Orchestration: Kubernetes operators for each "expertise pod"

Example Deployment Manifest

# Example Deployment Manifest for Audit Microservice
apiVersion: zi.us/v2
kind: ExpertisePod
metadata:
  name: zi-us-soc2-compliance-auditor
spec:
  resourceProfile: senior-auditor-llm-enhanced
  availability: "3d/wk"
  integrations:
    - target: ZI_US_SAP_ERP
      connector: odbc-gateway-encrypted
    - target: ZI_US_SALESFORCE
      connector: oauth2-proxy
  complianceRules:
    - rule: pci-dss-automated-checks
      schedule: "0 */4 * * *"
    - rule: sox-control-testing
      trigger: monthly-close
  consoleDashboard: /zi-us/audit/real-time-controls

Research Pipeline Architecture

1. Problem Decomposition Layer:
   - Converts business problems to Hamiltonian formulations
   
2. Hybrid Quantum-Classical Scheduler:
   - Routes problems to appropriate compute backend:
     * Qiskit Runtime (IBM Q) for combinatorial optimization
     * Pennylane (Rigetti) for Monte Carlo simulations
     * Custom CUDA kernels for classical preprocessing
   
3. Algorithm Versioning System:
   - Git-like system for quantum circuits with regression testing

Quantum-Enhanced Risk Prediction Algorithm

# Quantum-Enhanced Claim Prediction Algorithm
class QuantumFraudDetector:
    def __init__(self, claim_history):
        self.qpu_backend = zi.space.get_optimal_backend(
            problem_type='classification',
            qubits_required=127,
            error_tolerance=1e-3
        )
        
    def build_feature_map(self):
        # Encode 50+ risk factors into quantum state
        return QAOAFeatureMap(
            entanglement='full',
            reps=3,
            parameter_shift=True
        )
    
    def predict_claim_risk(self, traveler_data):
        # Hybrid quantum-classical inference
        classical_features = self.preprocess(data)
        quantum_circuit = self.build_circuit(classical_features)
        
        # Execute on quantum cloud fabric
        result = self.qpu_backend.run(
            circuit=quantum_circuit,
            shots=10000,
            optimization_level=3
        )
        
        # Post-process with classical NN
        return self.neural_network(result.probabilities)

Migration Architecture

Phase 1: Edge Processing Layer
┌─────────────────────────────────────────────┐
│ Zi-US On-Prem (zi-us.store hardware)        │
│ • Quantum-safe encryption gateways          │
│ • FPGA accelerators for real-time ETL       │
│ • Local inference for latency-sensitive ops │
└───────────────────┬─────────────────────────┘
                    │ TLS 1.3 + Quantum Key Dist.
                    ▼
Phase 2: Hybrid Processing Layer
┌─────────────────────────────────────────────┐
│ zi-us.cloud Region: us-east-quantum         │
│ • Classical: 1000+ vCPU Kubernetes cluster  │
│ • Quantum: IBM Q System One + Rigetti Aspen │
│ • Storage: Ceph cluster with 3-way replica  │
└───────────────────┬─────────────────────────┘
                    │ GraphQL Federation
                    ▼
Phase 3: Specialized Processing
├── Risk Modeling Partition (GPU-optimized)
├── Customer 360° Partition (Graph database)
└── Compliance Partition (Immutable ledger)

Data Transformation Pipeline

-- Zero-downtime migration of policy database
CREATE MATERIALIZED VIEW zi_us_policies_quantum_ready
WITH (engine = 'zi_quantum_hybrid') AS
SELECT 
    policy_id,
    -- Classical fields remain
    premium,
    coverage,
    -- Quantum-encoded risk vector
    quantum_encode(risk_factors) AS q_risk_vector,
    -- Temporal graph relationships
    TRAVERSE claim_history USING quantum_walk
FROM zi_us_legacy.policies
WHERE migrate_status = 'pending'
OPTIMIZE USING quantum_annealing(timeout='24h');

Technical Specifications for On-Prem Deployment

Standard Node (SIN-3000):
• 2x Intel Xeon Max Series (CPU + GPU)
• 1x IonQ Aria QPU Co-processor
• 400GbE Quantum Network Interface
• PCIe 5.0 with CXL 2.0 support
• FIPS 140-3 Level 3 HSM

Installation Protocol:
1. Quantum-safe network tunnel establishment
2. Hardware attestation via TPM 2.0
3. Air-gapped key exchange ceremony
4. Continuous hardware telemetry to zi-us.cloud