Quapp Documentation

The Quantum Functions Application documentation provides comprehensive guidance on the following key areas:

• Core Functionalities: Project creation, management, deployment of quantum functions, and job orchestration.
• Integrations: Connecting with quantum and classical providers, SDKs, and devices.
• User Journeys: Step-by-step guides for setting up and managing quantum workflows, including practical examples and use cases.
• System Architecture: Detailed interactions between function deployment, job management, and resource providers.
• Technical Resources: API references for SDKs, documentation for supported Quantum Processing Units (QPUs) and simulators, and best practices for development, deployment, and debugging.
• Security and Compliance: Guidelines for securing data and functions and adhering to industry standards.

The Quapp User Guide covers the following core platform areas:

• Home Screen Overview: Introduction to the main interface, navigation, and core areas.
• Creating a Function: Guidance on the function creation process and basic configuration.
• Compute Providers Overview: Information on built-in simulators, external quantum computing services, and supported open-source tools.
• Project Management: Instructions for creating and managing projects and understanding access permissions.

The Quapp Store provides a ecosystem for quantum application development and distribution. Key capabilities include:

• Quantum SDK Support: Supports SDKs from prominent industry providers to simplify the integration of quantum applications.
• Model Building: Provides dedicated tools and SDKs designed to reduce obstacles when implementing complex quantum models.
• Classical System Integration: Offers a workflow to bridge the gap between quantum models and real-world classical systems.

The Quapp Store is a community platform for sharing quantum computing applications and models. Key capabilities include:

• Showcase Presentation: Detailed descriptions of quantum applications and their features.
• Rating and Reviews: User-driven feedback and ratings to evaluate application quality.
• Direct Testing: Links within showcases that allow users to try quantum models and applications hands-on.
• Educational Resources: Guides and materials for implementing quantum models into existing systems.

Quantum computing utilizes different paradigms depending on the problem type:

1. Quantum Gate Model (Circuit-Based Programming): Manipulates qubits using quantum gates (e.g., Hadamard, CNOT, Pauli gates) in a circuit. Used for algorithms like Shor's and Grover's. Common tools include Qiskit, Cirq, and PennyLane.
2. Adiabatic Quantum Computing (AQC): Solves optimization problems by evolving a quantum system slowly to find the minimum energy state. Primarily used in D-Wave hardware solutions.
3. Quantum Approximation and Variational Algorithms: A hybrid approach combining quantum circuits with classical optimization via iterative parameter updates, frequently used in finance.

Quapp provides real-time notifications via a notification bell in the platform header. The unread count updates automatically without requiring a page reload. Notifications are triggered by the following events:

• Jobs: Notified when a job reaches a final state (success or failure) on simulators, quantum hardware, or HPC infrastructure. Only one notification is sent per outcome (retries are not notified individually), and all endings—including internal errors—are reported.
• Deployments: Notified when a function deployment finishes.
• Billing & Subscriptions: The billing owner is notified upon subscription purchase and payment results (including payer name and amount). Invoices are de-duplicated to prevent multiple notifications for a single invoice.
• Workspace Management: Both the administrator and the affected member are notified when a member's role is changed.

A hybrid quantum-classical architecture consists of four primary layers:

1. Quantum Component: Includes physical quantum hardware or simulators and SDKs (e.g., Qiskit, PennyLane) for circuit design.
2. Classical Component: Handles data preprocessing (encoding classical data into quantum states), the optimization engine (tuning circuit parameters), and postprocessing (result analysis).
3. Integration Layer: Middleware and APIs that facilitate interaction between the classical and quantum systems.
4. User Interface: Dashboards used to monitor and analyze hybrid workflows.