Give Quantum Computers These Jobs First

What this episode covers

Quantum computing for materials is moving closer to practical use because quantum computers, GPUs, CPUs, and AI coding tools are beginning to work together. Pranav Gokhale explains how future battery design could depend on simulating electrons, splitting materials problems between GPU workflows and quantum subroutines, and using Hamiltonian simulation where classical computers fall short. The conversation connects logical qubits, Nvidia, quantum-GPU orchestration, material science, chemistry, drug discovery, and why 2028 could be an important threshold for early quantum applications.--Other ways to connect with us:⁠Listen to every podcast⁠Follow us on ⁠Instagram⁠Follow us on ⁠X⁠Follow Mark on ⁠LinkedIn⁠Follow Jeremy on ⁠LinkedIn⁠Read our ⁠Substack⁠Email: [email protected]

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Frequently Asked Questions

How long is this episode of Thinking On Paper?

This episode is 6 minutes long.

When was this Thinking On Paper episode published?

This episode was published on March 12, 2026.

What is this episode about?

Quantum computing for materials is moving closer to practical use because quantum computers, GPUs, CPUs, and AI coding tools are beginning to work together. Pranav Gokhale explains how future battery design could depend on simulating electrons,...

Can I download this Thinking On Paper episode?

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