Episode

Why Quantum Computers Need Modular Architectures

Podcast
The Quantum Computing Podcast with Fexingo: Qubits, Quantum Hardware, and Future Computing
Published
Jun 17, 2026
Duration seconds
525
Processing state
not_requested
Canonical source
https://audio.fexingo.com/business/the-quantum-computing-podcast/episode-0057.mp3
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https://audio.fexingo.com/business/the-quantum-computing-podcast/episode-0057.mp3
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Markdown
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Summary

Lucas and Luna dive into why scaling quantum computers to useful sizes demands a shift from monolithic chips to modular, networked architectures. They discuss the physical limits of packing more qubits onto a single chip, the role of photonic interconnects, and the concrete challenges of linking separate quantum modules without destroying coherence. The episode focuses on recent progress at companies like IonQ and QuTech on building modular traps and mid-circuit interconnect links. Lucas explains why module-to-module error rates must drop below 1 percent for the approach to work, and why today's best demonstrations are still about 10 times too noisy. Luna questions whether modularity adds too much latency for error correction to keep up. The hosts also touch on a listener-supported model that keeps the show ad-free. #QuantumComputing #ModularArchitecture #IonQ #QuTech #PhotonicInterconnects #QubitScaling #QuantumHardware #FaultTolerance #QuantumNetworking #TrappedIons #Technology #FexingoBusiness #BusinessPodcast #QuantumFuture #CryogenicEngineering #LogicalQubits #MidCircuitMeasurement #CoherenceTime Keep every episode free: buymeacoffee.com/fexingo