Developer Ecosystem

Build, test, and deploy quantum applications with our comprehensive development platform. From SDKs to CI/CD pipelines, everything you need to bring quantum computing to production.

from ishara.quantum import QuantumCircuit, execute

# Create a quantum circuit
qc = QuantumCircuit(2, 2)
qc.h(0) # Hadamard gate on qubit 0
qc.cx(0, 1) # CNOT gate
qc.measure([0,1], [0,1])

# Execute on quantum hardware
result = execute(qc, backend='ishara-qpu', shots=1024)
print(result.get_counts())
Get Started View Documentation

Complete Developer Toolkit

Python SDK

Full-featured Python library for quantum programming with intuitive syntax and comprehensive documentation.

  • Quantum Circuit Builder
  • Algorithm Library (VQE, QAOA, Grover)
  • Noise Simulation
  • Result Visualization
  • Jupyter Integration

REST API

Language-agnostic HTTP API for quantum computing. Access QPUs from any programming language or platform.

  • OpenAPI 3.0 Specification
  • OAuth 2.0 Authentication
  • Webhook Support
  • Rate Limiting & Quotas
  • Versioned Endpoints

Quantum CLI

Command-line interface for managing quantum resources, deploying circuits, and monitoring jobs.

  • Circuit Submission & Tracking
  • Resource Management
  • Log Streaming
  • Shell Autocomplete
  • Cross-Platform (Windows/Linux/Mac)

C++ Library

High-performance C++17 library for quantum computing with minimal overhead and maximum control.

  • Header-Only / Compiled Options
  • Template Metaprogramming
  • SIMD Optimizations
  • CMake Integration
  • Unit Test Framework

Quantum IDE

Integrated development environment with visual circuit composer, debugger, and performance profiler.

  • Drag-and-Drop Circuit Design
  • Real-Time Syntax Checking
  • Integrated Debugger
  • Performance Profiling
  • Git Integration

Quantum Debugger

Step through quantum circuits gate-by-gate, inspect quantum states, and identify errors before execution.

  • State Vector Visualization
  • Breakpoints & Watchpoints
  • Time-Travel Debugging
  • Error Detection
  • Performance Metrics

SDK Features

Intuitive Circuit Construction

Design quantum circuits with an API that feels natural to programmers. Chain gate operations, add measurements, and control flow all with clean, readable code.

Our SDK automatically optimizes your circuits by removing redundant gates, combining consecutive rotations, and selecting optimal gate decompositions for target hardware.

from ishara.quantum import QuantumCircuit

qc = QuantumCircuit(3, 3)
qc.h(0).cx(0, 1).cx(1, 2) # GHZ state
qc.measure_all()

# Optimize for target hardware
qc_optimized = qc.optimize(backend='ishara-qpu')
print(f"Gate count reduced: {qc.depth()} -> {qc_optimized.depth()}")

Built-in Algorithm Library

Implement quantum algorithms without starting from scratch. We provide battle-tested implementations of VQE, QAOA, Grover, Shor, and more.

Each algorithm is parameterized and customizable. Plug in your own cost functions, ansatz circuits, or optimization strategies while leveraging our production-grade infrastructure.

from ishara.algorithms import VQE
from ishara.chemistry import H2Molecule

# Define molecular system
molecule = H2Molecule(distance=0.735)
hamiltonian = molecule.get_hamiltonian()

# Run VQE
vqe = VQE(hamiltonian, ansatz='UCCSD')
result = vqe.run(backend='ishara-qpu')
print(f"Ground state energy: {result.eigenvalue}")

Noise Modeling & Mitigation

Simulate realistic noise models to test your algorithms before running on hardware. Our SDK includes error mitigation techniques to improve results on NISQ devices.

Apply zero-noise extrapolation, measurement error mitigation, or dynamical decoupling automatically with a single parameter.

from ishara.noise import NoiseModel
from ishara.mitigation import apply_mitigation

# Create noise model based on calibration
noise_model = NoiseModel.from_backend('ishara-qpu')

# Run with noise simulation
result_noisy = execute(qc, backend='simulator',
noise_model=noise_model)

# Apply error mitigation
result_mitigated = apply_mitigation(result_noisy, method='ZNE')

Quantum IDE

[VIDEO: IDE demo showing visual circuit composition, real-time debugging, and deployment]

Visual Circuit Composer

Drag and drop quantum gates onto a visual canvas. See your circuit structure in real-time with automatic layout and gate annotations.

Smart Code Completion

Context-aware autocomplete suggests gates, parameters, and functions. Inline documentation shows usage examples.

Interactive Debugging

Set breakpoints, step through circuits gate-by-gate, and visualize quantum state evolution in real-time.

Performance Profiling

Identify bottlenecks with gate-level timing analysis. Optimize circuits based on actual hardware performance data.

Version Control

Built-in Git integration for managing quantum code. Compare circuit versions visually and collaborate with teams.

Cloud Sync

Your projects sync automatically across devices. Start coding on desktop, continue on laptop seamlessly.

REST API

Submit Quantum Job

POST /v1/jobs
Authorization: Bearer {token}
Content-Type: application/json

{
  "circuit": "OPENQASM 2.0; ...",
  "backend": "ishara-qpu",
  "shots": 1024
}

Submit quantum circuits for execution. Supports OpenQASM 2.0/3.0, Quil, and native formats. Returns job ID for tracking.

Query Job Status

GET /v1/jobs/{job_id}
Authorization: Bearer {token}

Response:
{
  "status": "completed",
  "results": {...},
  "metadata": {...}
}

Check execution status and retrieve results. Jobs transition through queued, running, completed, or error states.

List Available Backends

GET /v1/backends
Authorization: Bearer {token}

Response:
[
  {
    "name": "ishara-qpu",
    "qubits": 128,
    "status": "online"
  }
]

Discover available quantum processors and simulators. Get real-time status, calibration data, and queue lengths.

CI/CD for Quantum Apps

1. Code

Push quantum code to GitHub, GitLab, or Bitbucket. Webhooks trigger automated pipelines.

2. Test

Run unit tests on simulators. Validate circuits against noise models and error budgets.

3. Build

Compile circuits for target hardware. Optimize gate counts and circuit depth automatically.

4. Deploy

Deploy to production QPUs with blue-green strategies. Rollback on errors automatically.

5. Monitor

Track job success rates, execution times, and error rates. Get alerted on anomalies.

Integrate with Jenkins, GitHub Actions, GitLab CI, CircleCI, and more. Our CLI tools work anywhere Docker runs.

Developer Community

Documentation

Comprehensive guides, API references, and tutorials. Search-optimized with code examples in multiple languages.

Forums

Ask questions, share projects, and learn from experts. Moderated by quantum computing researchers.

GitHub Repositories

Open-source examples, templates, and tools. Contribute back and build with the community.

Discord Server

Real-time chat with 10,000+ developers. Get help, share ideas, and collaborate on projects.

Workshops & Webinars

Monthly live coding sessions and technical deep-dives. Learn from quantum algorithm experts.

Hackathons

Compete for prizes, solve real-world problems, and showcase your quantum applications.

Start Building Today

Join 50,000+ developers building the quantum future. Get free access to simulators and 100 QPU hours to start experimenting.

Create Account View Tutorials