A new library lets quantum programs run on 12 different machines

Laia Domingo and colleagues at EigenOrbit Sàrl have created eigenkit, a new quantum computing library supporting 12 execution providers spanning both simulators and actual quantum hardware. The library separates algorithm design from execution, enabling systematic comparison of the same quantum algorithm across diverse environments. Experiments using IBM Heron and IQM Emerald processors revealed that a processor’s suitability for a given algorithm depends on how well the algorithm’s structure aligns with the processor’s physical connectivity, demonstrating that backend portability is important for both computational efficiency and quantum execution quality. eigenkit also integrates with standard scientific tools like NumPy, PyTorch and scikit-learn. Currently, eigenkit supports execution across 12 distinct providers, encompassing both quantum simulators and access to actual quantum hardware; this broad compatibility represents a step towards achieving genuinely portable quantum code. These providers include in-house numpy simulators, PennyLane, Qiskit Aer, CUDA-Q, TensorCircuit, Qulacs, qsim, and QPUs accessed through Qiskit Runtime, IQM Resonance, Quandela’s Perceval and Amazon Braket. The library’s design deliberately avoids…