Episode 34 of The Quantum Computing Podcast explores the emerging architecture that pairs quantum processors with classical co-processors to handle error correction, control, and optimization. Lucas and Luna break down how IBM, Google, and startups like PsiQuantum are integrating classical compute—specifically FPGAs and ASICs—alongside qubits to make quantum systems practical. They discuss the problem of classical bottlenecks in quantum error decoding, the role of hybrid algorithms like variational quantum eigensolvers, and why the quantum computer of 2028 might look more like a supercomputer with a quantum accelerator card. Specific numbers: current quantum error correction requires classical decoding latencies under one microsecond per cycle, and the leading systems need 100-plus classical bits to control each qubit.

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