Lucas and Luna explore why quantum computing's biggest challenge today isn't hardware—it's software. They zero in on a concrete case: the difficulty of compiling quantum algorithms for noisy intermediate-scale quantum (NISQ) devices. With specific examples like variational quantum eigensolvers and the challenge of mapping logical qubits to physical qubits, they explain why the software layer is falling behind. They also touch on the role of open-source frameworks like Qiskit and Cirq, and why companies like IBM and Google are investing in compilers. A must-listen for anyone wondering when quantum will actually deliver on its promises.

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