GSoC 2026

Google Summer of Code

GSoC 2026

Explore our curated project ideas for Google Summer of Code 2026.

Google Summer of Code 2026 at QANT Labs

QANT Labs is excited to participate in Google Summer of Code (GSoC) 2026, offering students and open-source enthusiasts the opportunity to contribute to innovative projects in quantum science, artificial intelligence, cybersecurity, and privacy research.

About Google Summer of Code

Google Summer of Code is a global program that pairs students with open-source organizations to work on real-world projects during the summer. Participants gain valuable experience, mentorship, and the chance to make meaningful contributions to the open-source community.

Participating as a Contributor

If you are a student interested in open-source development, GSoC provides an excellent platform to build your skills and portfolio. Under the guidance of experienced mentors, you will work on cutting-edge technologies and collaborate with professionals in the field.

Eligibility and Requirements

  • Must be 18 years or older at the time of application.
  • Enrolled in or accepted into an accredited institution for the 2026 academic year.
  • Not employed by Google or its affiliates.
  • Committed to contributing full-time during the program period.

Application Process

  1. Explore Project Ideas: Review the project ideas listed below and select one that aligns with your interests and skills.
  2. Engage with the Community: Familiarize yourself with our codebase on GitHub and reach out to mentors for guidance.
  3. Submit a Proposal: Develop a detailed proposal outlining your approach, timeline, and expected outcomes. Use the provided template.
  4. Apply via GSoC Website: Submit your application through the official Google Summer of Code platform by the deadline.

We recommend starting early to build relationships with mentors and refine your proposal.

Resources

Contact Information

For inquiries about GSoC at QANT Labs, please reach out to our team:

We look forward to your contributions and the innovative solutions you will help develop.

Project Ideas for 2026

Brief Explanation QuantumCanvas is an interactive educational platform that teaches quantum computing through intuition-first, hands-on learning. Unlike traditional quantum education that relies heavily on mathematics, QuantumCanvas uses visual simulations and interactive experiments to build understanding.

The platform features:

  • Interactive Quantum Foundations: Visual exploration of qubits, superposition, measurement, and interference through manipulable simulations
  • Progressive Learning Paths: Structured curriculum starting from basic concepts to advanced topics like Quantum Machine Learning
  • Experiment Builder: Hands-on workspace where learners manipulate quantum states and observe outcomes in real-time
  • Export Capabilities: Convert interactive experiments to OpenQASM for use with real quantum frameworks.

The UI follows Google Codelabs design patterns with clean, step-by-step tutorials and embedded interactive components.

Expected Results

  • Learning Module System: Branching curriculum with foundational quantum concepts and specialized tracks (QML as first branch)
  • Interactive Simulation Components: Bloch sphere visualizer, state vector displays, probability distribution charts, and gate effect animations
  • Experiment Workspace: Drag-and-drop interface for building simple quantum experiments with live feedback
  • OpenQASM Export: Convert user experiments to standard quantum circuit representations
  • Progress Tracking: Track learner progress through modules and experiments

Knowledge Prerequisites

  • Frontend Development: ReactJS, state management (Redux/Zustand), component libraries
  • Quantum Computing Basics: Understanding of qubits, gates, and measurement (will deepen during project)
  • Visualization: D3.js or Three.js for interactive quantum state visualizations
  • Web APIs: REST API design for progress tracking and content delivery

Mentors Shehani, Roshan, Don

Estimated Project Length 350 hours

GitHub URL TBA

Difficulty Medium

Slack Channel #quantumcanvas

Brief Explanation QubitForge is a browser-based quantum circuit design and simulation platform inspired by Tinkercad’s intuitive approach to electronics. Users build quantum circuits visually by dragging and dropping qubits, gates, and measurements onto a workspace, then immediately observe simulation results through live visualizations.

The platform features:

  • Visual Circuit Builder: Drag-and-drop interface for constructing quantum circuits with a component palette
  • Real-time Simulation: Instant state visualization and measurement statistics as circuits are built
  • Component Library: Comprehensive gate library from basic (H, X, Y, Z) to advanced (controlled gates, custom unitaries)
  • Export System: Generate OpenQASM, Qiskit, or PennyLane code from visual circuits

The UI mimics Tinkercad’s workspace with central canvas, left component palette, and right properties/output panel.

Expected Results

  • Circuit Workspace: Grid-based canvas with zoom, pan, and undo/redo support
  • Gate Palette: Categorized component library with drag-and-drop functionality
  • Wire System: Visual qubit wires connecting gates with automatic routing
  • Simulation Panel: State vector display, probability bars, and measurement histogram
  • Export Module: Code generation for OpenQASM 2.0/3.0, Qiskit, and PennyLane formats
  • Circuit Library: Save/load circuits, shareable circuit links

Knowledge Prerequisites

  • Frontend Development: ReactJS, React DnD or similar drag-drop library, Canvas/SVG graphics
  • Quantum Computing: Understanding of quantum gates, circuits, and measurements
  • Visualization: Chart libraries for simulation output display
  • State Management: Complex state handling for circuit representation

Mentors Shehani, Roshan, Don

Estimated Project Length 500 hours

GitHub URL TBA

Difficulty Hard

Slack Channel #qubitforge

Brief Explanation QuantumIntent is a high-level quantum programming platform where users describe their intent in natural language, and the system generates appropriate quantum circuits automatically. Instead of manually constructing circuits gate-by-gate, users specify goals like “create a Bell state” or “encode this data into qubits,” and QuantumIntent produces optimized circuits.

The platform features:

  • Natural Language Interface: ChatGPT-style conversation for expressing quantum programming goals
  • Intent Parser: Understands user requirements and maps them to quantum circuit templates
  • Circuit Generator: Produces optimized circuits based on intent, available qubits, and constraints
  • Visual Preview: Real-time circuit visualization displayed alongside the chat interface
  • Export Capabilities: Generate OpenQASM, Qiskit, or PennyLane code from generated circuits

The UI follows ChatGPT patterns with chat panel on the left and circuit visualization on the right. Expected Results

  • Chat Interface: Conversational UI for describing quantum programming intent
  • Intent Recognition System: Parse natural language into structured quantum tasks (entanglement, encoding, algorithm selection)
  • Template Library: Pre-built circuit patterns for common tasks (Bell states, GHZ states, QFT, VQE ansätze)
  • Circuit Visualization Panel: Live diagram of generated circuit with state information
  • Code Export: Generate executable code for Qiskit, PennyLane, or Cirq
  • Constraint Handling: Adapt circuits to user-specified qubit counts and hardware constraints

Knowledge Prerequisites

  • Frontend Development: ReactJS, state management, real-time updates
  • LLM Integration: OpenAI API or similar for intent parsing (or rule-based NLP)
  • Quantum Computing: Circuit construction, common algorithms, gate decomposition
  • Visualization: Circuit diagram rendering, SVG graphics

Mentors Shehani, Roshan, Don

Estimated Project Length 450 hours

GitHub URL TBA

Difficulty Medium-Hard

Slack Channel #quantumintent

Brief Explanation QuantumTrace is a visual debugging and tracing platform for quantum circuits that reveals how quantum states evolve during computation. Unlike traditional quantum tools that only show final measurement results, QuantumTrace provides step-by-step visualization of quantum state changes throughout circuit execution.

The platform features:

  • Step-Through Execution: Pause at any point in a circuit to inspect the quantum state
  • State Visualization: View probability distributions, Bloch sphere representations, and entanglement indicators at each step
  • Interference Tracking: Observe how quantum interference builds up across gates
  • Breakpoints: Set conditions to pause execution when specific state conditions are met
  • Circuit Import: Load circuits from OpenQASM or integrate with circuit builders

The UI draws inspiration from Chrome DevTools and VS Code Debugger with a timeline-based execution view, state inspection panel, and breakpoint controls.

Expected Results

  • Debugger Interface: Timeline scrubber, step/run controls, breakpoint markers
  • State Inspector Panel: Detailed view of current quantum state (amplitudes, phases, probabilities)
  • Visualization Components: Bloch sphere, probability bars, state vector table, correlation matrix
  • Breakpoint System: Pause on amplitude thresholds, entanglement detection, or specific states
  • Circuit Import: Parse OpenQASM and visualize any quantum circuit
  • Execution History: View and compare states at different execution points

Knowledge Prerequisites

  • Frontend Development: ReactJS, state management, complex UI interactions
  • Quantum Computing: Deep understanding of quantum state evolution, gates, and measurement
  • Visualization: D3.js or Three.js for state visualizations, timeline components
  • Parsing: Basic compiler concepts for OpenQASM parsing

Mentors Shehani, Roshan, Don

Estimated Project Length 600 hours

GitHub URL TBA

Difficulty Hard

Slack Channel #quantumtrace