An Advanced Data Processing System, especially in the context of a Quantum Intelligent Futuristic City Management System, involves sophisticated technology and methodologies designed to handle large volumes of complex data efficiently. Here's an overview of its key aspects:

1. Quantum Computing Integration: Utilizing quantum computing capabilities to process data at speeds far beyond traditional computing methods. This includes handling complex algorithms and large datasets typical in urban environments.

2. Big Data Analytics: Leveraging big data tools to analyze extensive datasets gathered from various city sources like sensors, IoT devices, traffic systems, and public records. This enables real-time insights and decision-making.

3. AI and Machine Learning: Implementing AI algorithms and machine learning techniques to interpret data, identify patterns, and make predictions. This can be used for traffic management, energy usage optimization, predictive maintenance of infrastructure, and more.

4. Real-Time Processing: The ability to process and analyze data in real time, crucial for applications like traffic management, emergency response, and public safety monitoring.

5. Data Visualization: Advanced visualization tools to represent data insights in an understandable and accessible way for decision-makers. This includes interactive dashboards, 3D mapping, and holographic displays.

6. Cloud Computing and Edge Computing: Utilizing cloud computing for scalable data storage and processing, and edge computing for faster, localized data processing near the data source, reducing latency.

7. Interoperability and Data Integration: Ensuring that the system can effectively integrate and process data from various sources and formats, promoting seamless data flow between different city systems and departments.

8. Data Security and Privacy: Implementing robust cybersecurity measures and privacy protocols to protect sensitive data and comply with legal standards.

9. Scalability and Flexibility: Designing the system to be scalable, accommodating increasing data volumes and new data sources, and flexible to adapt to evolving urban needs and technological advancements.

10. Sustainable Data Processing: Incorporating energy-efficient data processing practices to align with sustainability goals of the smart city.

This Advanced Data Processing System is a cornerstone of a Quantum Intelligent Futuristic City Management System, enabling cities to become more responsive, efficient, and smart by harnessing the power of data.