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Enhanced Quantum Backend Selector

Intelligent quantum backend selection for Qiskit circuits using transpilation-based error analysis.

Python License

Overview

Quantum computing users typically rely on simplistic backend selection methods like least_busy(), which only considers queue depth. This library provides intelligent backend selection by transpiling your circuit to each backend and calculating the actual expected error rates.

Key benefits:

  • Transpilation-Based: Circuits are transpiled to each backend's native gate set
  • Real Error Calculation: Sums actual error rates for the specific qubits and gates used
  • Multiple Runs: Averages over multiple transpilation runs for stability
  • Fractional Gates Support: Evaluates both standard and fractional gates (ideal for chemistry circuits)

Quick Start

from enhanced_quantum_backend_selector import BackendSelector
from qiskit import QuantumCircuit
from qiskit_ibm_runtime import QiskitRuntimeService

# Get available backends
service = QiskitRuntimeService()
backends = service.backends()

# Create your circuit
qc = QuantumCircuit(3)
qc.h(0)
qc.cx(0, 1)
qc.cx(1, 2)
qc.measure_all()

# Select the best backend
selector = BackendSelector(backends)
best = selector.select_backend(qc)

print(f"Recommended: {best.backend.name}")
print(f"Expected error: {-best.score_data.score:.2%}")

Installation

pip install enhanced-quantum-backend-selector

Or with Poetry:

poetry add enhanced-quantum-backend-selector

Key Features

  • ✅ Transpilation-Based Scoring - Calculates actual error rates for your specific circuit
  • ✅ Fractional Gates Support - Automatically evaluates with/without fractional gates
  • ✅ Provider Agnostic - Works with any Qiskit BackendV2 provider
  • ✅ Multiple Run Averaging - Configurable transpilation runs for stable scoring
  • ✅ Parallel Processing - Scores multiple backends concurrently
  • ✅ Type Safe - Full mypy strict mode compliance
  • ✅ Well Tested - >80% code coverage

Documentation