Preparation for the Certified Quantum Technology Professional Exam
Enterprises have started early quantum computing deployments, beyond laboratory demonstrations. Cloud-accessible quantum processors are available from multiple providers. Hybrid quantum-classical architectures are being tested in finance, pharma, logistics, and materials science. Governments are investing to speed up development.
Technology professionals evaluating these developments have to separate demonstrated capability from roadmap promises. They also need to understand what it takes to integrate quantum computing into existing enterprise infrastructure.
CQTP Technology Professional Training provides a rigorous, vendor-neutral assessment framework for quantum computing technologies. The curriculum explains how quantum computers work in enough depth for informed evaluation, without requiring a physics background. It then covers which applications are realistic today and what infrastructure they require. It also compares cloud quantum platforms and explains what organizational readiness means in practice.
Course Outline
Module 1 Quantum Computing Fundamentals
How quantum computers actually work: qubits and superposition, quantum gates and circuits, entanglement, measurement and its probabilistic nature, and quantum error correction. Why quantum computers are not simply faster classical computers: they use different physics. The difference between physical and logical qubits, and how it changes the way you read vendor claims. The concepts you need to read a quantum computing announcement critically.
Module 2 Hardware Modalities and Their Tradeoffs
The five major approaches to building quantum computers, each with distinct engineering tradeoffs. Superconducting qubits (IBM, Google): high gate speeds, cryogenic requirements, limited connectivity. Trapped-ion systems (IonQ, Quantinuum): high fidelity, all-to-all connectivity, slower gates. Photonic approaches (PsiQuantum, Xanadu): room-temperature operation, networking advantages, measurement-based computing. Neutral-atom arrays (QuEra, Pasqal): scalable qubit counts, reconfigurable connectivity. Silicon spin qubits: built on standard semiconductor fabrication, compact form factor. How to evaluate each modality on the metrics that matter.
Module 3 Quantum Algorithms and Applications
Which quantum applications have demonstrated value versus which remain theoretical. Optimization (QAOA, quantum annealing): where current hardware can contribute and where classical algorithms still dominate. Simulation (chemistry, materials): the nearest-term application with genuine quantum advantage potential. Machine learning (variational circuits, quantum kernels): honest assessment of current capabilities. Cryptography (Shor’s algorithm): the application that drives PQC migration. Finance, pharma, logistics, and defense use cases examined without vendor-driven optimism.
Module 4 Quantum Cloud Platforms
Comparative evaluation of commercially available quantum cloud services. Access models: direct API access versus managed services versus hybrid workflows. Hardware available through each platform. Software development kits and programming frameworks. Pricing models and cost estimation for realistic workloads. Benchmarking: how to compare platforms on the metrics that matter for your own use case. Platform maturity: documentation, community, support, and partner networks.
Module 5 Enterprise Integration Architecture
What it takes to integrate quantum computing into existing enterprise infrastructure. Quantum-HPC coupling: classical pre-processing, quantum execution, classical post-processing. Data pipeline design for quantum workloads. Workflow orchestration across classical and quantum resources. Networking requirements between classical infrastructure and quantum hardware. Latency considerations and their impact on application design. Cloud versus on-premises versus hybrid deployment models.
Module 6 Organizational Readiness Assessment
Assessing whether your organization is ready for quantum computing adoption. Talent: what skills are needed, what training paths exist, how to build or acquire quantum computing competence. Infrastructure: data center requirements, networking, classical computing resources that quantum computing depends on. Use case identification: systematic approaches to finding applications where quantum computing adds value in your specific context. Governance: intellectual property considerations, security requirements, vendor management, and exit strategy planning.
Module 7 Evaluation Framework and Strategy Development
A structured framework for evaluating quantum computing investments. Decision criteria that distinguish real capability from roadmap promises. Technology readiness levels applied to quantum computing. Timeline assessment: when will quantum computing deliver production value for your use cases? Risk assessment: technology risk, vendor risk, opportunity cost of waiting versus moving early. Building a quantum computing strategy that leadership can endorse: concrete, time-bound, measurable, and honest about uncertainty.
Format and Delivery
This program is available online on-demand, live online, in person, and as private team training. Current prices for each format are in the booking section below. Live online and in-person sessions include 180 days of access to the online on-demand course. Where that course is not yet published, the 180 days start on the day it is. However you train, every exam is a proctored assessment. We confirm the arrangements when you book.
Live online and in-person training runs over four days, with 24 hours of instruction in total. Each day has six hours of teaching within a seven-and-a-half-hour schedule that includes lunch and breaks. The online on-demand course covers the same material and takes roughly 40 hours at your own pace.
Prerequisites
None. No quantum physics or programming background required.
What Comes Next
After completing this course, you are eligible to sit for the CQTP certification exam. CQTP holders may pursue the advanced CQSI – Certified Quantum Systems Integrator certification.
Pricing
| Option | Price |
|---|---|
| Online (self-paced) | US$1,999 |
| Live online (instructor-led) | US$2,499 |
| In-person (instructor-led) | US$2,999 |
| On-demand training + CQTP exam bundle | US$2,399 |
| Live online training + CQTP exam bundle | US$2,899 |
| In-person training + CQTP exam bundle | US$3,399 |
| Quantum Computing Bundle (CQTP + CQSI + both exams) on-demand | US$4,499 |
| Quantum Computing Bundle (CQTP + CQSI + both exams) live online | US$5,249 |
| Quantum Computing Bundle (CQTP + CQSI + both exams) in-person | US$5,999 |
All prices are in US dollars.
Who this course is for
Technology strategists, enterprise architects, CIOs, CTOs, R&D leaders, innovation managers, and senior technical professionals responsible for evaluating or recommending quantum computing investments. Also appropriate for technology consultants and analysts covering quantum computing.
What you’ll be able to do afterward
- Explain how quantum computers work at a conceptual level sufficient for technical evaluation and decision-making
- Evaluate the five major hardware modalities (superconducting, trapped-ion, photonic, neutral-atom, silicon-spin) based on published capabilities, error rates, connectivity, and scalability trajectories
- Distinguish between NISQ-era capabilities and fault-tolerant quantum computing, and assess how far each hardware approach has progressed toward fault tolerance
- Evaluate quantum computing cloud platforms (IBM Quantum, Amazon Braket, Google Cloud, Azure Quantum, and others) based on access models, available hardware, development tools, and pricing
- Assess quantum algorithm applicability for specific enterprise use cases in optimization, simulation, machine learning, and cryptography
- Identify the infrastructure requirements for quantum computing integration, including classical computing resources, networking, data management, and workforce skills
What you leave with
When you finish, we email you the course handbook, a PDF of every slide with notes that explain it in full. We also include a PDF copy of Quantum Systems Integration. The handbook is yours to keep.
Enrollment includes 180 days of access to the online on-demand course. Where that course is not yet published, the 180 days start on the day it is.
Where this course fits
Nothing is required. Introduction to Quantum Computing or Quantum Computing Fundamentals both help if the physics is unfamiliar. After CQTP, you can specialize. For networking, take CQNE Network Engineer Training. For systems and integration work, take CQSI Systems Integrator Training. For the security of quantum systems, take QCSP training.
Why we teach this
The material is based on Quantum Systems Integration, the reference text on quantum computing, networking, and sensing written by the course author. It also draws on faculty who work with quantum engineering and integration teams. We teach what we have had to get right in the field. We focus on the judgment calls you will face in practice, and vendor roadmaps are not part of the course.
Certificate of Completion
Upon completion, you receive a Quantum Academy certificate of completion. It is separate from our professional certifications and states your CPE credits, one for each 60 minutes of teaching. ISC2 counts them as professional development, and other certifying bodies set their own rules. The credits also count toward renewing a Quantum Academy certification. Our CPE credits page explains how to claim them.
About this program
Quantum Academy credentials are private professional credentials issued by Quantum Academy, a trade name of Post-Quantum Institute. They are not government-issued licenses, accredited degrees, or academic credit, and earning one does not guarantee employment, promotion, regulatory approval, or any other specific outcome.
Quantum Academy programs are educational and informational only, and are not legal, compliance, or engineering advice.
