Preparation for the Certified Quantum Systems Integrator Exam
Evaluating quantum computing technologies (the CQTP competency) is the first step. Making them work in production is the next. CQSI Systems Integrator Training focuses on the engineering of enterprise quantum computing deployment: integrating quantum processors with classical HPC infrastructure, orchestrating hybrid workflows, deploying through cloud platforms, optimizing performance, and operating quantum computing systems in production environments.
This course addresses the gap between technology evaluation and operational reality. Quantum computers do not run in isolation — they depend on substantial classical computing infrastructure for control, error correction, data preparation, and result processing. Integrating these systems into existing enterprise architectures requires skills that do not exist in most organizations today.
Who Should Take This Course
Systems architects, integration engineers, HPC administrators, cloud architects, DevOps engineers, and technical project managers responsible for deploying quantum computing in enterprise or government environments. Also appropriate for quantum computing company engineers who integrate their systems with customer infrastructure.
What You Will Learn
- Design quantum-HPC integration architectures that efficiently couple quantum processors with classical pre- and post-processing
- Orchestrate hybrid quantum-classical workflows including job scheduling, queue management, and result aggregation
- Evaluate and deploy quantum cloud platforms for enterprise workloads with appropriate security and governance controls
- Optimize quantum application performance through circuit compilation, noise mitigation, and error correction strategy selection
- Operate quantum computing infrastructure in production: monitoring, maintenance, incident response, and capacity planning
- Assess total cost of ownership for quantum computing deployments including infrastructure, personnel, and operational overhead
- Plan quantum computing integration projects with realistic timelines, resource estimates, and risk mitigation
Course Outline
Module 1 — Quantum-HPC Integration Architecture
The classical computing infrastructure that quantum computers depend on. Cryogenic control systems and their classical computing requirements. Signal generation, routing, and readout electronics. The latency constraints between classical control and quantum execution. Designing integration architectures that minimize communication overhead while maintaining the classical resources needed for error correction, compilation, and data management.
Module 2 — Workflow Orchestration and Job Management
Managing the execution of hybrid quantum-classical applications. Job scheduling across quantum and classical resources. Queue management for shared quantum processors. Circuit compilation and optimization pipelines. Result aggregation and post-processing. Workflow frameworks (Covalent, Orquestra, custom orchestration) and their tradeoffs. Handling quantum hardware availability, calibration schedules, and execution failures.
Module 3 — Cloud Quantum Architecture and Deployment
Deploying quantum computing through cloud platforms. Architecture patterns for enterprise quantum cloud usage: direct API integration, managed service consumption, hybrid deployment with on-premises classical resources. Security considerations: data in transit, authentication, access control, audit logging. Multi-cloud strategies for accessing different quantum hardware modalities. Cost management and usage optimization.
Module 4 — Performance Optimization
Getting useful results from current quantum hardware requires optimization at every layer. Circuit-level optimization: gate reduction, qubit mapping, routing. Noise mitigation techniques: error mitigation, zero-noise extrapolation, probabilistic error cancellation. Transpiler optimization for specific hardware topologies. Benchmarking methodology: application-relevant benchmarks versus synthetic metrics. Identifying the boundary between optimization gains and fundamental hardware limitations.
Module 5 — Production Operations and Monitoring
Operating quantum computing infrastructure as a production service. Monitoring quantum hardware health: qubit coherence times, gate fidelities, calibration status. Alerting and incident response for quantum-specific failure modes. Capacity planning as quantum hardware scales. Change management for firmware updates, calibration changes, and hardware modifications. Documentation and operational runbooks.
Module 6 — Security and Compliance
Security architecture for quantum computing infrastructure. Securing the classical control plane. Access control for quantum resources. Data classification and handling for quantum workloads. Compliance considerations for regulated industries using quantum computing. The relationship between quantum computing security (this course) and quantum computing cybersecurity (covered in depth in QCSP Training).
Module 7 — Integration Project Management
Planning and executing quantum computing integration projects. Defining success criteria that reflect realistic expectations. Managing vendor relationships during integration. Estimating timelines for infrastructure deployment, integration testing, and production readiness. Risk management for early-stage technology integration. Building organizational capability for ongoing quantum computing operations.
Format and Delivery
Online (self-paced) — US$2,499. Approximately 40 hours. 180-day access.
Live online (instructor-led) — US$2,499. Multi-day sessions.
In-person (instructor-led) — US$3,499. Multi-day at scheduled locations.
Corporate delivery — Contact training@quantumacademy.com.
Prerequisites
- Active CQTP — Certified Quantum Technology Professional certification
Pricing
| Option | Price |
|---|---|
| Online (self-paced) | US$2,499 |
| In-person (instructor-led) | US$3,499 |
| Online training + CQSI exam bundle | US$2,999 |
| In-person training + CQSI exam bundle | US$3,999 |
| Quantum Computing Path (CQTP + CQSI + both exams) online | US$4,499 |
All prices are in US dollars.