In Episode 147, Steve Girvin returns for his third appearance to take stock of where quantum stands across research, hardware, and the commercial landscape. The team cover the ongoing challenge of discovering new quantum algorithms — and why better hardware may be what unlocks them — before moving into the state of the three leading modalities: superconducting qubits, trapped ions, and neutral atoms. Steve walks through the wiring problem facing superconducting systems at scale, why cold atoms are on a steeply rising learning curve, and what photonic approaches like Xanadu and PsiQuantum are betting on. The conversation closes on dynamic circuits — a hybrid model where quantum and classical computation are deeply interwoven mid-algorithm — and why that may be one of the most powerful and least understood frontiers in the field.

In Episode 146, Bob Coecke, Founder and CEO of Relational Intelligence returns alongside Alessandro Cheli, Categorical Machine Learning Operations at Relational Intelligence, to introduce two brand new companies. The bulk of the conversation covers Relational Intelligence, built on the idea that intelligence — human, mechanical, or otherwise — is better understood through relationships than through the reductive, static frameworks that dominate western scientific thinking. The team dig into relational modeling, the DisCoPy Python library for working with string diagrams and category theory, and why this approach produces AI that is interpretable and formally verifiable in a way neural networks are not. The conversation also touches on how the architecture is quantum-native from the ground up, meaning it won't need to be retrofitted when scalable quantum hardware arrives. Bob closes with a brief look at Quantum Entertainment Berlin, including a quantum guitar performance at Wacken Open Air and a VR game designed to teach quantum mechanics by being genuinely fun to play.

In Episode 145, Fred Chong returns to discuss what's new at Infleqtion, now a public company, and the work that's keeping him busy across both academia and industry. The team dig into Quantum for Bio, a multimodal cancer biomarker discovery project developed with Welcome Leap and now continuing with IBM, where hybrid quantum-classical algorithms are uncovering relationships between genes, RNA, and tumor imaging that classical methods haven't been able to tackle. Fred shares Peter Shor's perspective that the shortage of quantum algorithms reflects a shortage of good machines, not a shortage of ideas, and why that's an optimistic take. The conversation also covers neutral atoms as a maturing modality, Infleqtion's dual-species machine and how it reduces the need for physical qubit movement, and the concept of interleaving error-corrected qubit tiles to reduce long-range communication costs.