Lucas and Luna explore the hidden power cost behind quantum computing. While headlines focus on qubit counts and error rates, a 2025 paper from Lawrence Berkeley National Lab estimated that a practical fault-tolerant quantum computer could draw 25 to 30 megawatts of power — about what a small data center or a town of two thousand homes consumes. The hosts break down where that energy goes: cryogenic cooling for superconducting qubits, classical control electronics, and the overhead of error correction. They compare it to the energy demands of classical HPC clusters and ask whether quantum's efficiency gains can ever offset its own footprint. A 2023 study by McKinsey projected quantum computing could unlock $450 billion to $850 billion in value by 2040 — but only if the energy economics work out. Episode 10 of The Quantum Computing Podcast with Fexingo.

#QuantumComputing #EnergyConsumption #Cryogenics #FaultTolerantQuantum #PowerEfficiency #LawrenceBerkeley #McKinsey #SuperconductingQubits #ErrorCorrection #Technology #FexingoBusiness #BusinessPodcast #QuantumHardware #DataCenter #ClimateTech #GreenComputing #Qubit #CryoCooling

Keep every episode free: buymeacoffee.com/fexingo