QTUM™ Deep Dive

Deterministic Development Intelligence Platform

Explore QTUM’s layered architecture, 22-engine registry, quantum optimization pipeline, and governed remediation workflows designed for regulated engineering teams.

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Architecture Overview

Layered orchestration for deterministic insight-to-action pipelines.

QTUM separates delivery experiences from registry governance, deterministic engines, and the typed foundation layer. Each layer is composable, policy-aware, and traceable.

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Delivery Layer

Desktop • CLI • Web • Integrations

Electron desktop, enterprise CLI, web console, and integration surfaces provide unified access to deterministic workflows.

Responsibilities

  • Electron IDE with Explorer, Engine, Run & Debug, and Source Control panels
  • CLI automation (`qtum analyze`, `qtum fix`, `qtum quantum validate`, `qtum policy check`)
  • Web dashboards for governance officers and telemetry observers
  • Partner and plugin integrations for CI/CD, ticketing, and observability

Key Packages

apps/desktopapps/cliapps/webplatform/qtum-integrationsplatform/qtum-plugin-host
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Orchestration Layer

Engine Registry • Router • Telemetry • Policy

Registry-driven orchestration enforces policy, routes workloads, captures evidence, and governs runtime behavior across engines.

Responsibilities

  • Dynamic engine discovery and capability negotiation
  • Deterministic routing with queueing, concurrency limits, and cost weighting
  • Principal-aware authorization, audit trails, and policy enforcement
  • Metrics, tracing, and health monitoring via OpenTelemetry

Key Packages

features/qtum-engine-registryplatform/qtum-routerplatform/qtum-observabilityplatform/qtum-policyplatform/qtum-jobs
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Engine Layer

22 Deterministic Analyzers & Fixers

Kernel-pure analyzers and fixers span classical code, governance, migration, intelligence, and quantum optimization domains.

Responsibilities

  • Pipeline Adapter Pattern normalizes inputs, executes analyzers in parallel, plans fixes, and applies remediation with governance guardrails
  • Layered delivery surfaces connect to registry-governed deterministic engines across code, governance, and intelligence domains
  • Engine registry coordination ensures deterministic run IDs, policy enforcement, and observability across every analyzer/fixer
  • Quantum engine family delivers circuit normalization, target compatibility scoring, and governed repair heuristics

Key Packages

features/qtum-engine-securityfeatures/qtum-engine-codefeatures/qtum-engine-codeeditfeatures/qtum-engine-dependencyfeatures/qtum-engine-optimizationfeatures/qtum-engine-performancefeatures/qtum-engine-refactorfeatures/qtum-engine-workspacefeatures/qtum-engine-policyfeatures/qtum-engine-polyglotfeatures/qtum-engine-compliancefeatures/qtum-engine-migrationfeatures/qtum-engine-decisionfeatures/qtum-engine-fixstrategyfeatures/qtum-engine-simulationfeatures/qtum-engine-knowledgefeatures/qtum-engine-intelligencefeatures/qtum-engine-agentfeatures/qtum-engine-learningfeatures/qtum-engine-quantumfeatures/qtum-engine-reasoning
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Foundation Layer

Core Contracts • Kernel APIs • Infrastructure

Typed contracts, deterministic kernels, and cross-cutting services underpin every QTUM workflow.

Responsibilities

  • Abstract analyzer and fixer base classes with deterministic execution
  • Schema-validated contracts and ports for external systems
  • Event bus, policy engine, metrics, logging, and feature flagging
  • Infrastructure blueprints for Docker, Kubernetes, and Terraform

Key Packages

core/qtum-analyzercore/qtum-fixercore/qtum-contractscore/qtum-eventscore/qtum-policycore/qtum-portsxcutting/qtum-feature-flagsxcutting/qtum-secretsxcutting/qtum-loggingxcutting/qtum-metricsinfrastructure/dockerinfrastructure/kubernetesinfrastructure/terraform

Engine Portfolio

22 deterministic engines orchestrated via kernel-pure contracts.

The QTUM engine registry coordinates analyzers and fixers across classical, governance, and quantum workloads, delivering reproducible remediation with governed telemetry.

Code Analysis Engines

Pipeline Adapter-enabled analyzers for polyglot codebases and infrastructure as code.

securitycodecodeeditdependencyoptimizationperformancerefactorworkspacepolicypolyglot
  • Static, symbolic, and data-flow analysis across 12+ languages
  • Automated patch generation with deterministic diffs
  • Dependency graphing, SBOM export, and license compliance
  • Performance heuristics with cost units and deterministic telemetry

Governance & Intelligence Engines

Domain-specific engines delivering compliance assurance, migration planning, and AI orchestration.

compliancemigrationdecisionfixstrategysimulationknowledgeintelligenceagentlearningreasoning
  • Regulatory model attestation and policy templating
  • Framework and runtime migration planning with deterministic scoring
  • Decision analytics and remediation prioritization
  • Closed-loop simulation for incident drills and treasury-grade governance

Quantum Engine

Kernel-pure quantum workflows spanning validation, optimization, and governed remediation for hybrid stacks.

quantum
  • Circuit normalization across OpenQASM 2/3, XIR, Qiskit, Cirq, Braket, Quil
  • Analyzer suite A1–A5 with AST-enhanced variants (A1e–A5e) for resource counting, complexity pressure, optimization heuristics, validation, and target readiness
  • Extended analyzer suite A6–A12 with AST-enhanced variants (A6e–A12e) covering noise modeling, error channels, topology stress, drift, logical vs physical gaps, hybrid feedback, and post-run stability
  • Fixer suite F1–F5 with AST-enhanced variants (F1e–F5e) for optimization, simplification, basis change, security hardening, and resource optimization
  • Advanced fixer suite F6–F12 with AST-enhanced variants (F6e–F12e) addressing noise-aware rewriting, crosstalk mitigation, calibration-aware scheduling, hybrid latency, backend migration, pruning, and error-correcting code selection
  • Shared calibration, routing, and fidelity utilities for drift scoring, coupling graph heatmaps, and Monte Carlo error estimation with governed telemetry export

Developer Experience

Deterministic workflows across desktop, CLI, SDKs, and integrations.

QTUM meets engineers where they work—in IDEs, automation pipelines, and governance portals—without sacrificing deterministic guarantees.

Desktop IDE

  • Explorer, Engine, Run & Debug, and Source Control panels tied to deterministic kernels
  • Real-time triage with findings drill-down, remediation preview, and audit artifact export
  • Workspace-scoped policies and tenant aware profiles

Enterprise CLI

  • Command suites for analysis, remediation, quantum validation, batch execution, and policy enforcement
  • Deterministic exit codes with structured JSON output for CI/CD
  • Long-running jobs routed via engine registry with cancellation hooks

SDKs & APIs

  • Typed TypeScript SDK (`getGateway`, `gateway.call`) with AbortSignal timeouts
  • REST and GraphQL endpoints instrumented with OpenTelemetry
  • Plugin host and SDK for partner-developed analyzers and fixers

Integrations

  • CI/CD connectors (GitHub, GitLab, Jenkins, Azure DevOps)
  • Ticketing and workflow integrations (Jira, ServiceNow) with audit trails
  • Observability exports to Prometheus, OpenTelemetry, and SIEM pipelines

Governance & Compliance

Policy-driven controls, audit artifacts, and isolation primitives.

Deterministic governance ensures regulated sectors can adopt quantum-ready workflows while preserving audit and compliance posture across teams.

Policy Enforcement

  • Versioned, jurisdiction-aware policies enforced pre- and post-merge
  • Principal-based authorization with multi-factor approvals
  • Deterministic signing of remediation bundles and evidence artifacts

Evidence & Audit

  • Structured finding schema with severity, remediation plan, and trace IDs
  • Evidence truncation plus secret stripping to protect sensitive data
  • Immutable audit store with Merkle anchors and attestation export

Isolation & Compliance

  • Workspace isolation and namespace-scoped analyzers
  • Data retention controls with default ephemerality
  • SOC2, ISO27001, and PQC-aligned posture with governed remediation

Roadmap

Quantum-aware releases aligned to enterprise adoption milestones.

QTUM’s roadmap advances analyzer/fixer waves, governed remediation packs, and telemetry programs to support hybrid classical-quantum teams.

Near-Term (Q1–Q2 2026)

Focus

  • Operationalize calibration, routing, and fidelity utilities with governed telemetry surfaces
  • Ship AST variant telemetry dashboards and compliance automations across desktop, CLI, and web
  • Launch governed remediation SaaS packs alongside web console GA for regulated pilots

Targets

  • Web console GA with governed remediation packs
  • First regulated enterprise pilots in finance and aerospace
  • Telemetry pipelines delivering fleet-wide compliance dashboards

Medium-Term (Q3–Q4 2026)

Focus

  • Predictive engine selection and anomaly detection spanning classical and quantum workloads
  • Adaptive error-correction orchestration with dynamic fixer routing and backend migration tooling
  • Expanded telemetry and governance dashboards tailored for compliance officers and auditors

Targets

  • 10k DAU with traceable free-to-pro conversion
  • Six-figure ARR run-rate with deterministic SLA reporting
  • Enterprise compliance attestations across finance and defense cohorts

Long-Term (2027+)

Focus

  • ML-driven engine selection and anomaly detection
  • Edge deployment and distributed execution for sovereign workloads
  • Third-party engine marketplace and integration ecosystem

Targets

  • Hybrid quantum-classical workload balancing under deterministic governance
  • Community-driven extensions vetted through deterministic certification
  • Global fleet telemetry with policy drift detection and auto-remediation

Deployment Profiles

Flexible delivery for air-gapped labs, enterprise clusters, and managed SaaS.

QTUM deploys consistently across disconnected environments, enterprise-managed Kubernetes, and CUI Labs’ governed SaaS.

Local & Air-Gapped

Desktop-first workflows with optional offline registries for secure labs and defense workloads.

  • Deterministic kernels run locally with zero data egress
  • CLI operates against local registry mirror with policy packs
  • Supports disconnected updates via signed package bundles

Enterprise Managed

Kubernetes orchestration with HA registries, OpenTelemetry observability, and policy automation.

  • Multi-tenant isolation with namespace-scoped analyzers and fixers
  • Federated registry for regional compliance and data residency
  • Integration with enterprise identity, secrets, and ticketing systems

Managed SaaS

CUI Labs-operated QTUM cloud with governed remediation-as-a-service and turnkey compliance.

  • Continuous delivery of analyzer/fixer updates with deterministic certification
  • Fleet telemetry dashboards for compliance and engineering leadership
  • Hybrid connectivity for on-prem policy enforcement with cloud orchestration

Ready to engage?

Bring deterministic intelligence to your engineering organization.

Schedule a briefing, explore partnership opportunities, or request the full technical dossier to evaluate QTUM for your team.

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