HPC+Quantum Agentic Aerospace Compute Architecture

Version: 1.0.0
Effective Date: 2026-01-30
Classification: INTERNAL
Applies To: AMPEL360 Q100 Program

Executive Summary
Architecture Overview
System Components
BREX-Governed Agentic Reasoning
HPC Workload Pipelines
Quantum-Accelerated Optimization
Multi-Agent Design Exploration
Integration with ASIT
Deployment Architecture
Quick Start Guide

Executive Summary

The HPC+Quantum Agentic Architecture enables massive simultaneous integrated agentic guided decision making for aerospace design optimization. It combines:

High-Performance Computing (HPC) for parallel simulation execution
Quantum Computing for optimization and combinatorial problems
Multi-Agent Systems for intelligent design space exploration
BREX Governance for deterministic, certifiable decision paths

This architecture supports the AMPEL360 Q100 program's goal of designing the best possible hydrogen-hybrid aircraft through:

Millions of configuration evaluations in parallel
Multi-domain MDO (Multidisciplinary Design Optimization)
Real-time BREX-compliant decision making
Complete audit trails for certification

Architecture Overview

┌─────────────────────────────────────────────────────────────────────────────┐
│                    HPC+QUANTUM AGENTIC ARCHITECTURE                         │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌─────────────────────────────────────────────────────────────────────┐   │
│  │                      ASIT GOVERNANCE LAYER                          │   │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐ │   │
│  │  │ BREX Rules  │  │ Contracts   │  │ Baselines   │  │ Audit Logs  │ │   │
│  │  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘  └──────┬──────┘ │   │
│  └─────────┼────────────────┼────────────────┼────────────────┼────────┘   │
│            │                │                │                │            │
│  ┌─────────▼────────────────▼────────────────▼────────────────▼────────┐   │
│  │                    BREX DECISION ENGINE                              │   │
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐ │   │
│  │  │ Confidence  │  │ Source      │  │ Fabrication │  │ Safety      │ │   │
│  │  │ Thresholds  │  │ Traceability│  │ Prevention  │  │ Rules       │ │   │
│  │  └─────────────┘  └─────────────┘  └─────────────┘  └─────────────┘ │   │
│  └──────────────────────────┬───────────────────────────────────────────┘   │
│                             │                                               │
│  ┌──────────────────────────▼───────────────────────────────────────────┐   │
│  │                    MULTI-AGENT ORCHESTRATOR                          │   │
│  │                                                                       │   │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐        │   │
│  │  │Explorer │ │Optimizer│ │Validator│ │Integrator│ │Coordinator│      │   │
│  │  │ Agents  │ │ Agents  │ │ Agents  │ │ Agents  │ │  Agent    │      │   │
│  │  └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ └────┬─────┘      │   │
│  │       └──────────┬┴───────────┴───────────┴───────────┘             │   │
│  └──────────────────┼───────────────────────────────────────────────────┘   │
│                     │                                                       │
│  ┌──────────────────▼───────────────────────────────────────────────────┐   │
│  │                    HPC+QUANTUM COMPUTE LAYER                         │   │
│  │                                                                       │   │
│  │  ┌─────────────────────────┐  ┌─────────────────────────────────┐    │   │
│  │  │    CLASSICAL HPC        │  │    QUANTUM PROCESSORS           │    │   │
│  │  │                         │  │                                 │    │   │
│  │  │  ┌─────┐ ┌─────┐       │  │  ┌─────────┐  ┌─────────┐       │    │   │
│  │  │  │ CFD │ │ FEM │       │  │  │  QAOA   │  │   VQE   │       │    │   │
│  │  │  └─────┘ └─────┘       │  │  └─────────┘  └─────────┘       │    │   │
│  │  │  ┌─────┐ ┌─────┐       │  │  ┌─────────┐  ┌─────────┐       │    │   │
│  │  │  │ MDO │ │ ML  │       │  │  │   QML   │  │ Grover  │       │    │   │
│  │  │  └─────┘ └─────┘       │  │  └─────────┘  └─────────┘       │    │   │
│  │  └─────────────────────────┘  └─────────────────────────────────┘    │   │
│  └───────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

System Components

1. ASIT Governance Layer

The top layer ensures all decisions comply with program governance:

Component	Function
BREX Rules	Deterministic business rules for decision making
Contracts	Transformation contracts between knowledge and information
Baselines	Configuration control and version management
Audit Logs	Hash-chained logs for certification evidence

2. BREX Decision Engine

Enforces deterministic reasoning paths:

from ASIGT.brex import create_engine

engine = create_engine()
record = engine.evaluate_rule("BREX-CONF-002", {
    "confidence": 0.92,
    "safety_critical": True,
    "source": {"doc_id": "CFD-RESULT-001"}
})
# Outcome: ACCEPT or ESCALATE_HITL

3. Multi-Agent Orchestrator

Coordinates specialized agents:

Agent Type	Domain	Function
Explorer	All	Discovers new design regions
Optimizer	Domain-specific	Refines designs locally
Validator	Safety/Certification	Validates constraints
Integrator	Cross-domain	Resolves conflicts
Coordinator	System-wide	Manages agent activities

4. HPC+Quantum Compute Layer

Executes computational workloads:

Workload Type	Compute Platform	Typical Use
CFD	Classical HPC	Aerodynamic analysis
FEM	Classical HPC	Structural analysis
MDO	Hybrid	Multi-objective optimization
Route Optimization	Quantum (QAOA)	Combinatorial problems
Parameter Search	Quantum (VQE)	Energy minimization

BREX-Governed Agentic Reasoning

Decision Flow

Every agent decision follows the BREX deterministic path:

┌─────────────────┐
│  Agent Request  │
└────────┬────────┘
         │
         ▼
┌─────────────────┐     ┌─────────────────┐
│ BREX Validation │ No  │ REJECT          │
│ Pre-Execution   ├────►│ Log reason      │
└────────┬────────┘     └─────────────────┘
         │ Yes
         ▼
┌─────────────────┐
│ Execute on HPC/ │
│ Quantum         │
└────────┬────────┘
         │
         ▼
┌─────────────────┐     ┌─────────────────┐
│ BREX Validation │ No  │ ESCALATE_HITL   │
│ Post-Execution  ├────►│ Human review    │
└────────┬────────┘     └─────────────────┘
         │ Yes
         ▼
┌─────────────────┐
│ ACCEPT          │
│ Update baseline │
└─────────────────┘

Rule Categories

Category	Rule IDs	Purpose
Confidence	BREX-CONF-*	Threshold validation
Traceability	BREX-SRC-*	Source verification
Fabrication	BREX-FAB-*	Data integrity
Safety	BREX-LH2-, BREX-AI-	Domain-specific safety
Effectivity	BREX-EFF-*	Configuration control

HPC Workload Pipelines

MDO Pipeline

Multi-disciplinary Design Optimization workflow:

from ASIGT.hpc_quantum import HPCQuantumOrchestrator, create_mdo_workload

orchestrator = HPCQuantumOrchestrator()

# Create MDO workload
workload = create_mdo_workload(
    name="Full Aircraft MDO",
    design_variables=100,
    objectives=["minimize_fuel", "minimize_weight", "maximize_range"],
    constraints=["structural_safety", "noise_limits"],
    evaluations=10000,
)

# Submit and execute
accepted, msg = orchestrator.submit_workload(workload)
if accepted:
    result = orchestrator.execute_workload(workload.workload_id)

CFD Pipeline

Computational Fluid Dynamics workflow:

from ASIGT.hpc_quantum import create_cfd_workload

workload = create_cfd_workload(
    name="Wing CFD Analysis",
    mesh_cells=5000000,
    turbulence_model="k-omega-sst",
    mach_number=0.85,
)

FEM Pipeline

Finite Element Analysis workflow:

workload = WorkloadDefinition(
    workload_id="FEM-001",
    workload_type=WorkloadType.FEM_ANALYSIS,
    name="Wing Box Stress Analysis",
    parameters={
        "elements": 1000000,
        "load_cases": ["1g_cruise", "2.5g_maneuver", "ultimate"],
    },
    resource_requirements=ComputeResource(
        resource_id="hpc-cluster-01",
        resource_type="cpu",
        node_count=32,
        memory_gb=512.0,
    ),
)

Quantum-Accelerated Optimization

Supported Algorithms

Algorithm	Type	Best For
QAOA	Gate-based	Combinatorial optimization
VQE	Variational	Ground state energy
QML	Hybrid	Pattern recognition
Grover	Search	Unstructured search
QPE	Phase estimation	Eigenvalue problems

QAOA for Route Optimization

from ASIGT.hpc_quantum import create_quantum_optimization_workload, OptimizationAlgorithm

workload = create_quantum_optimization_workload(
    name="Fleet Route Optimization",
    algorithm=OptimizationAlgorithm.QAOA,
    qubits=20,
    shots=4000,
    backend=QuantumBackend.IBM_QUANTUM,
)

VQE for Structure Optimization

workload = create_quantum_optimization_workload(
    name="Wing Structure Energy",
    algorithm=OptimizationAlgorithm.VQE,
    qubits=15,
    shots=1000,
)

Hybrid Classical-Quantum Workflow

┌─────────────────┐
│ Initial Design  │
│ (Classical)     │
└────────┬────────┘
         │
    ┌────▼────┐
    │ Iterate │
    └────┬────┘
         │
    ┌────▼────────────────┐
    │ Quantum Optimizer   │
    │ (QAOA/VQE)          │
    │ - Find optimal      │
    │   parameters        │
    └────────┬────────────┘
             │
    ┌────────▼────────────┐
    │ Classical Evaluator │
    │ - CFD/FEM           │
    │ - Cost function     │
    └────────┬────────────┘
             │
    ┌────────▼────────────┐
    │ Converged?          │
    └────────┬────────────┘
             │
    ┌───No───┴───Yes──────┐
    │                     │
    ▼                     ▼
  Iterate           ┌─────────────┐
                    │ Optimal     │
                    │ Design      │
                    └─────────────┘

Multi-Agent Design Exploration

Agent Architecture

from ASIGT.agents import MultiAgentDesignExplorer, create_ampel360_design_space

# Create design space
design_space = create_ampel360_design_space()

# Create explorer with agents
explorer = MultiAgentDesignExplorer(design_space)
explorer.create_default_agents()

# Run exploration
results = explorer.run(iterations=100)

Domain Agents

Domain	Explorer	Optimizer	Validator
Aerodynamics	EXP-AERO	OPT-AERO	VAL-AERO
Structures	EXP-STRU	OPT-STRU	VAL-STRU
Propulsion	EXP-PROP	OPT-PROP	VAL-PROP
Thermal	EXP-THER	OPT-THER	VAL-THER
Weight/Balance	EXP-WEIG	OPT-WEIG	VAL-WEIG
Hydrogen Systems	EXP-HYDR	OPT-HYDR	VAL-HYDR

Exploration Strategy

Phase 1: Global Exploration
- Explorer agents sample diverse design regions
- Low-fidelity evaluations
- Identify promising areas
Phase 2: Local Optimization
- Optimizer agents refine promising designs
- Higher-fidelity evaluations
- Pareto front updates
Phase 3: Validation
- Validator agents check constraints
- BREX compliance verification
- Safety rule enforcement
Phase 4: Integration
- Integrator agents resolve conflicts
- Cross-domain trade-offs
- Final design selection

Integration with ASIT

Contract-Based Integration

# ASIT Contract for HPC Workload
contract:
  contract_id: "HPC-MDO-CONTRACT-001"
  type: "HPC_WORKLOAD"
  
  inputs:
    - design_variables: 100
    - objectives: ["fuel", "weight", "range"]
    
  outputs:
    - pareto_front
    - optimal_design
    - audit_trail
    
  brex_rules:
    - "BREX-CONF-002"
    - "BREX-SRC-001"
    - "BREX-EFF-001"
    
  governance:
    baseline: "BL-2026-001"
    change_authority: "CCB"

Traceability

Every design decision links to:

Element	Identifier Format
Design Point	`D-{agent}-{hash}`
Workload	`{TYPE}-{uuid}`
BREX Decision	`BREX-{timestamp}-{seq}`
Audit Record	`AUDIT-{session}-{seq}`

Deployment Architecture

Cloud/HPC Configuration

# HPC Cluster Configuration
cluster:
  name: "AMPEL360-HPC-01"
  nodes:
    - type: "cpu"
      count: 1000
      cores_per_node: 64
      memory_gb: 256
      
    - type: "gpu"
      count: 100
      gpus_per_node: 4
      gpu_type: "A100"
      
    - type: "qpu"
      count: 1
      provider: "IBM_QUANTUM"
      qubits: 127

scheduler:
  type: "agentic"  # AI-powered scheduling
  max_concurrent: 10000
  priority_queues: 5

Kubernetes Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: brex-orchestrator
spec:
  replicas: 3
  selector:
    matchLabels:
      app: brex-orchestrator
  template:
    spec:
      containers:
        - name: orchestrator
          image: ampel360/hpc-orchestrator:1.0
          resources:
            requests:
              cpu: "2"
              memory: "4Gi"

Quick Start Guide

1. Installation

cd AMPEL360-Q100
pip install pyyaml  # Required dependency

2. Basic Usage

from ASIGT.hpc_quantum.orchestrator import HPCQuantumOrchestrator
from ASIGT.agents.design_explorer import MultiAgentDesignExplorer, create_ampel360_design_space

# Create orchestrator
orchestrator = HPCQuantumOrchestrator()

# Create design space
design_space = create_ampel360_design_space()

# Create and run explorer
explorer = MultiAgentDesignExplorer(design_space)
explorer.create_default_agents()
results = explorer.run(iterations=10)

print(f"Best design fitness: {results['best_design']['fitness']}")

3. With BREX Integration

from ASIGT.brex import create_engine
from ASIGT.hpc_quantum.orchestrator import HPCQuantumOrchestrator

# Create BREX engine
brex_engine = create_engine()

# Create orchestrator with BREX
orchestrator = HPCQuantumOrchestrator(brex_engine=brex_engine)

# All workloads will be BREX-validated

References

Revision History

Version	Date	Author	Changes
1.0.0	2026-01-30	ASIT System	Initial architecture specification

This documentation is maintained by the ASIT Development Team.

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HPC+Quantum Agentic Aerospace Compute Architecture

Table of Contents

Executive Summary

Architecture Overview

System Components

1. ASIT Governance Layer

2. BREX Decision Engine

3. Multi-Agent Orchestrator

4. HPC+Quantum Compute Layer

BREX-Governed Agentic Reasoning

Decision Flow

Rule Categories

HPC Workload Pipelines

MDO Pipeline

CFD Pipeline

FEM Pipeline

Quantum-Accelerated Optimization

Supported Algorithms

QAOA for Route Optimization

VQE for Structure Optimization

Hybrid Classical-Quantum Workflow

Multi-Agent Design Exploration

Agent Architecture

Domain Agents

Exploration Strategy

Integration with ASIT

Contract-Based Integration

Traceability

Deployment Architecture

Cloud/HPC Configuration

Kubernetes Deployment

Quick Start Guide

1. Installation

2. Basic Usage

3. With BREX Integration

References

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HPC+Quantum Agentic Aerospace Compute Architecture

Table of Contents

Executive Summary

Architecture Overview

System Components

1. ASIT Governance Layer

2. BREX Decision Engine

3. Multi-Agent Orchestrator

4. HPC+Quantum Compute Layer

BREX-Governed Agentic Reasoning

Decision Flow

Rule Categories

HPC Workload Pipelines

MDO Pipeline

CFD Pipeline

FEM Pipeline

Quantum-Accelerated Optimization

Supported Algorithms

QAOA for Route Optimization

VQE for Structure Optimization

Hybrid Classical-Quantum Workflow

Multi-Agent Design Exploration

Agent Architecture

Domain Agents

Exploration Strategy

Integration with ASIT

Contract-Based Integration

Traceability

Deployment Architecture

Cloud/HPC Configuration

Kubernetes Deployment

Quick Start Guide

1. Installation

2. Basic Usage

3. With BREX Integration

References