Quantum Use Cases Program Builder

QCentroid platform includes AI-powered tools designed to help organizations systematically identify, evaluate, and structure their most promising use cases for quantum and quantum-inspired technologies.

The Quantum Use Cases Program Builder guides users through the full process of building a strategic, data-driven portfolio of quantum opportunities—tailored to their business goals, technical constraints, and industry context.

This tool enables you to go beyond isolated experiments and move toward a coordinated quantum adoption plan. From AI-assisted use case discovery to scoring, classification, prioritization, and roadmap generation, every step is supported with intuitive interfaces and expert-informed insights.

Whether you’re just starting to explore quantum computing or are ready to scale, the Program Builder ensures that your efforts are aligned with measurable business value and technical feasibility.

Use this documentation to learn how to use these AI-powered tools to:

• Identify and explore high-impact use cases for quantum and quantum-inspired computing in your organization.
• Document each use case from the business point of view, including information such as:
  • Detailed business description
  • Current limitations and expected opportunities
  • Required input data
  • Output data and graphic representation
  • Best practices, benchmarks and references to beat
• Generate the scientific definition for each use case COMING SOON
• Specify the input and output data format for each use case COMING SOON
• Create synthetic datasets for early experimentation avoiding security or privacy issues
• Explore potential promising solutions (algorithm techniques and quantum architectures) to solve your use cases

Process overview

This is a clear overview of the step-by-step process designed to take your organization from a blank page to a complete, well-structured quantum program.

Whether you’re just beginning to explore quantum computing or looking to formalize your innovation efforts, this workflow will guide you through every key phase—from identifying high-impact use cases to defining technical feasibility, aligning with business priorities, and building a strategic roadmap.

By following this structured approach within the QCentroid platform, you can ensure that your quantum adoption journey is both purpose-driven and execution-ready, built on a foundation of real organizational needs, measurable metrics, and expert insights.

1️⃣ Discover use cases with the AI assistant

2️⃣ Describe each use case with deeper business information

3️⃣ Review the feasibility report

4️⃣ Describe each use case with the scientific approach (or mathematical definition)

5️⃣ Specify the use case input and output data structure with well known formats

6️⃣ Assign business and technical metrics

7️⃣ Roadmap planning

Step-by-step process

Now, let’s get in detail on how to do this process step-by-step.

1. Discover use cases with the AI assistant

1.1. Start a discovery session

Navigate to the section Use cases > My use cases through the left side menu.

Then, on the top-right corner, click on the button arrow and then on the Find use cases button.

The “Use cases discovery section” will appear:

The agent will guide you through a short, conversational session to understand your context, such as:

• Sector and subsector of your organization
• Key operational or strategic challenges
• Current goals (e.g., cost reduction, sustainability, optimization)
• Available data and resources

Tip

The more detailed your responses, the better tailored the generated use cases will be.

Example

See a real sample conversation in the annex below.

1.2. Review your suggested use cases

After the session, the AI agent will show a list of suggested use cases based on your inputs and QCentroid’s knowledge base, which is trained on:

• Scientific literature
• Real-world quantum case studies
• Industry-specific challenges
• QCentroid’s proprietary models and experience

Each use case includes a title and a short description.

1.3. Perform deep research on the proposed use cases

Once your use cases are generated, the AI agent will suggest to perform a deep research analysis on all of them. This analysis includes:

• Feasibility with today’s quantum and quantum-inspired techniques
• References to existing scientific publications or benchmarks
• Type of algorithms that could be applied (e.g., QAOA, quantum annealing, tensor networks)
• Hardware or data requirements
• Comparative advantages over classical approaches

This step helps you prioritize and validate which use cases are promising enough to move forward.

Each use case is marked with a green tick ✅ or a red cross ❌ indicating their feasibility/applicability:

Generated use cases along with their feasibility score (yes/no) and the link to the deep research report.

The following image shows the Quantum feasibility/applicability report generated for one of the use cases:

Feasibility assessment report of a use case

1.4. Save use cases to your workspace

After reviewing the research, you can choose to save use cases that are interesting to you to your workspace within the platform.

From there, you can:

• Further describe them with deeper business information about each use case.
• Assign business and technical metrics (impact, priority, data availability, etc.)
• Include them in your quantum roadmap.
• Add the Mathematical definition and the Technical specification such as input and output formats.
• Add sample datasets to help better understand the use case to the technical development team.
• Explore potential promising solutions based on the different quantum software techniques and hardware architectures.
• Track their evolution through the QC-Ops cycle (from discovery to prototyping and production)

Save the use cases!

Save the use cases at this point, before continuing or you may lose them and you’ll have to generate them again.

Benefits of the Use Case Discovery Tool

• Quickly identify relevant use cases without needing quantum expertise
• Explore feasibility backed by scientific evidence
• Build a custom roadmap tailored to your organization and your sector and readiness
• Accelerate alignment across business and technical teams

2. Describe each use case with deeper business information

Once you have saved the use cases that are relevant to you into your organization, you can start to further document them.

The first step to do is to complete the use case business description, which is split in the following sections:

• Detailed business description
• Current limitations and expected opportunities
• Required input data
• Output data and graphic representation
• Best practices, benchmarks and references to beat

QCentroid platform includes another AI-powered tool that helps users automatically generate complete business descriptions for each quantum use case.

To use it, navigate to the section Use cases > My use cases through the left side menu.

Then click on one of your use cases to access its details page.

There, under the Business information tab, click the button Generate business descriptions and follow the process.

This tool uses the information already available in your workspace and in the use case, such as the sector, use case title, short description, and combines it with QCentroid’s knowledge base (which includes curated benchmarks, academic research, and industry experience) to automatically fill in all the fields with relevant and detailed information.

This feature helps your team move faster from ideation to communication and planning, while ensuring that each use case is backed by a solid business narrative and technical rationale.

Once generated, all fields are editable, allowing you to refine and customize the content as needed for internal presentations, stakeholder engagement, or experimentation readiness.

Note

Repeat this process with all your use cases.

3. Review the feasibility report

When you saved the use cases, the initial Feasibility/Applicability assessment report generated in the previous step is also stored in this section.

You can update this assessment at any time to adapt it to the new conditions for the quantum ecosystem or based on your own experts opinion.

4. Describe each use case with the scientific approach (or mathematical definition)

Note

This step requires input from scientists, researchers, or technical experts within your organization. You can skip it and go to the next step, and fill this section later if you’re not ready yet.

Coming Soon: AI-powered Mathematical Definition Generator

You’ll soon be able to use QCentroid’s AI assistant to automatically generate the mathematical formulation of your use case—including objective functions, constraints, and variable definitions—based on your business description and problem type.

Once your business use cases are clearly defined and prioritized, the next step is to translate them into scientific or mathematical formulations. This is a crucial part of the quantum adoption journey, as it bridges the gap between business goals and algorithmic implementation.

This section requires input from scientists, researchers, or technical experts within your organization who have the domain knowledge and mathematical background to formalize the problem.

The QCentroid platform provides a dedicated area for this, where you can:

• Define the objective function, constraints, and structure of the problem
• Classify it into standard problem types (e.g., QUBO, CVRP, TSP, 3D bin packing, linear systems, etc.)
• Provide notations, variables, and parameter definitions
• Explain the data modeling and transformation steps from raw inputs to formal mathematical structures

Tip

QCentroid supports LaTeX syntax, making it easy to write clean, readable mathematical equations and problem definitions directly in the platform.

This scientific layer is essential for:

• Mapping the problem to suitable quantum algorithms
• Evaluating feasibility and complexity
• Communicating effectively with quantum computing providers or algorithm developers
• Building internal technical understanding and validation

By integrating both business and scientific perspectives, the QCentroid platform enables organizations to move from high-level opportunity to concrete experimentation in a structured and traceable way.

Note

Repeat this process with all your use cases.

5. Specify the input and output data formats

Note

This step requires input from scientists, researchers, or technical experts within your organization. You can skip it and go to the next step, and fill this section later if you’re not ready yet.

Coming Soon: AI Assistant for Input/Output Format Suggestions

A new AI-powered tool will help you define input and output data structures by analyzing your use case. It will suggest fields, formats, and examples to streamline integration and experimentation.

To effectively implement, test, benchmark, and deploy a quantum use case, it’s essential to define the structure and format of the input and output data.

In this section you can detail the following information:

• Expected data types (e.g., integers, floats, categorical variables)
• Structure (e.g., numbers, matrices, lists)
• Field definitions (e.g., asset names, time intervals, distances, demand volumes)
• Units and ranges, when applicable
• Result types (e.g., binary solution vector, ranked list, optimized routes, allocation matrices)
• Guidance on how the output can be interpreted in business terms (e.g., “X% cost savings”, “optimal stock allocation”)

This section is also particularly useful when collaborating with external partners, as it provides a clear specification of data interfaces, improving reproducibility, portability, and clarity across teams.

Note

Repeat this process with all your use cases.

6. Assign business and technical metrics

Once your use case is defined, it’s time to quantify its strategic and technical characteristics using QCentroid’s structured scoring system.

This helps you prioritize efforts, visualize trade-offs, and build a roadmap grounded in data.

The QCentroid platform provides an intuitive interface for assigning a set of key metrics on a scale from 1 to 10, where higher values represent stronger alignment with the respective criterion.

These metrics serve both business and technical stakeholders in evaluating use case viability and readiness:

• Priority

  Reflects the business urgency or time sensitivity of the use case.

  Higher = more urgent (short-term impact or deadlines)

• Complexity

  Indicates the overall complexity of the problem, including size, constraints, variability, and required technical depth.

  Higher = more complex to define, implement, or solve

• Data Availability

  Rates the current accessibility of the input data needed to work on this use case.

  Higher = data is already available or easy to obtain

• Business Impact

  Measures the strategic value of solving this problem for your organization (cost savings, revenue, sustainability, etc.).

  Higher = higher expected business benefit

• Time / Effort to Implement

  Estimates the difficulty and time investment required to implement a solution.

  Higher = easier and faster to implement

• Quantum Feasibility

  Reflects how soon quantum technologies are expected to address this use case effectively.

  Higher = quantum can solve it in the short term (or already can)

Tip

You can update these values at any time as your understanding evolves or new data becomes available.

These metrics power QCentroid’s visual analytics features, such as roadmaps, comparative scatter plots, and heatmaps, allowing you to make strategic decisions with confidence and transparency.

Use them to prioritize your quantum efforts, align stakeholders, and build a compelling business case for quantum exploration.

Note

Repeat this process with all your use cases.

7. Roadmap planning

Once your use cases are described, scored, and analyzed, the QCentroid platform helps you move toward action with its Roadmap Planning tools.

To access the Quantum roadmap section, navigate to Use cases > My use cases through the left side menu.

Then, on the top-right corner, click on the Quantum program button.

This section of the platform allows you see all the use cases together to refine their metrics and your quantum adoption strategy.

It allows you to organize your use cases into a clear, data-driven timeline, that is prioritized and aligned with your business goals, technical readiness, and available resources.

What you can do in the Roadmap section:

• Refine Use Case Timelines

  Position use cases across short-, medium-, and long-term horizons based on priority, feasibility, and resource planning.

• Access Dynamic Visualizations

  Use our built-in analytics tools to view and compare use cases across multiple dimensions:

  • Business Impact vs. Priority
  • Priority to Quantum Feasibility
  • Impact vs. Implementation Effort
  • Data Availability vs. Priority
  • Data Availability vs. Complexity
  • Heatmap showing all metrics per use case (1–10 scale)

Next steps

Once your use cases are added to the platform, and they are well documented, and you have assigned the business metrics, you can continue with:

Create your quantum resources budget with the computation resources cost planning tool for Quantum Experiments

Explore potential solutions algorithm techniques and quantum architectures to solve your use cases

Experimentation and benchmarking using QCentroid’s QC Sandbox environment. Visit the section “For creators” for more information about this, or do the Hello World Tutorial.

Annexes

A1: Sample conversation with the Use Cases discovery assistant

The following is a real conversation with the AI assistant that shows how it gathers the necessary information to be able to deeply analyze the needs of the user, their interests, challenges and goals to propose use cases that are relevant.

Agent

I see you work in the finance sector. Could you tell me more about the specific area or sub-sector within finance that you focus on? For example, are you involved in retail banking, investment management, insurance, risk analysis, trading, or financial technology (fintech)? This will help me better understand your business context.

User

We are mainly focused on investment management and risk analysis

Agent

Thank you for clarifying that your focus is mainly on investment management and risk analysis. Within these areas, could you share more about the types of activities or processes that are most important to your organization? For example, are you involved in portfolio construction, asset allocation, risk assessment, regulatory compliance, or performance monitoring? This will help me understand where advanced modeling or optimization might be relevant to your work.

User

We’re interested on portfolio optimization, asset allocation and risk assessment

Agent

Thank you for sharing that your interests are in portfolio construction, asset allocation, and risk assessment. Could you tell me if your organization has any specific goals related to these activities? For example, are you aiming to improve returns, reduce risk, enhance decision-making speed, or better adapt to changing market conditions? If you’re not sure, feel free to mention any general objectives you have in mind.

User

Our goals are to improve returns and reduce risk

Agent

Thank you for specifying that your goals are to improve returns and reduce risk. To better understand your current approach, could you describe the methods or tools your organization currently uses for portfolio construction, asset allocation, and risk assessment? For example, do you rely on spreadsheets, specialized financial software, or in-house models?

User

We are currently using a custom made specialized financial software and in-house models

Agent

Thank you for explaining that you use custom in-house specialized financial software and models. Could you share some of the main challenges or difficulties your team faces with these current methods? For example, do you encounter issues with scalability, computational speed, data integration, or adapting to new market scenarios? Any details you can provide will help me understand where improvements might be possible.

We almost have all the information we need. Just a few more questions to clarify your needs.

User

Mainly computational speed

Agent

Thank you for highlighting that computational speed is the main challenge with your current methods. Just to clarify, does this issue arise when you are handling large numbers of assets, running complex simulations, or processing real-time data? Understanding when these slowdowns occur will help identify where advanced techniques could be most beneficial.

We almost have all the information we need. Just a few more questions to clarify your needs.

User

This happens during optimizations with a large number of restrictions

Agent

Thank you for specifying that the computational speed issue mainly occurs during optimizations with a large number of restrictions. This is a common challenge in portfolio construction and risk assessment, especially as the complexity of constraints increases.

To summarize our conversation:

• Sector: Finance, with a focus on investment management and risk analysis.
• Key Activities: Portfolio construction, asset allocation, and risk assessment.
• Business Goals: Improve returns and reduce risk.
• Current Methods: Custom in-house specialized financial software and models.
• Main Challenge: Computational speed, particularly during optimizations involving many restrictions.

Understood. I will proceed to generate your use cases based on the information you’ve provided.

Agent

I have found 5 use cases that might be useful for your organization. Check them out!

!!! info qcentroid-agent “Agent You can select the use cases that are most relevant to your needs, or click the button below to restart the process and explore other options.

Agent

Would you like me to conduct a Deep Research analysis to identify any previous studies related to these use cases?

User

Yes

Agent

Starting Deep Research. This process may take a few minutes, so we appreciate your patience.

Agent

Deep Research completed. You can now review an in-depth analysis of the use cases, including references to previous studies.