Episode 139: Quantum and Chemistry with Bert De Jong
In this episode, senior scientist Bert de Jong from Lawrence Berkeley National Lab explains how his Quantum System Accelerator aims to demonstrate quantum advantage for real-world chemistry and materials challenges, such as more efficient batteries, solar energy capture, and nitrogen fixation. He emphasizes that achieving useful simulations depends more on operation fidelity than sheer qubit count, targeting modest accuracies that still yield scientific insight. De Jong also discusses the evolving synergy between quantum computers, classical high‑performance computing, and AI, noting recent progress in error‑correction and the importance of hybrid workflows. The conversation highlights the near‑term goal of achieving demonstrable quantum advantage in scientific discovery within the next few years.
Episode 138: Trapped Ion Technology
In this episode Patrick and Cyprian explore a breakthrough in trapped‑ion quantum computing from MIT, where researchers embed photonic chips directly on the ion trap to deliver laser cooling and control. By generating polarized‑gradient cooling fields on‑chip, they claim up...
Episode 137: Parallel IQCC With Scott Genin
In this episode, Patrick and Cyprian interview Scott Jenin, VP of Materials Discovery at OTI Lumionics, about their breakthrough implementation of Parallel Iterative Qubit Coupled Cluster (IQCC) on GPU hardware. Scott explains how the algorithm, a true quantum chemistry method...
Episode 131: Unraveling the Mysteries of Entanglement
In this episode, Patrick and Ciprian unpack quantum entanglement, covering its fundamental role in quantum computing and communication and the persistent challenges of measuring and interpreting entangled states. They discuss recent research that reshapes our understanding of measurement in the...