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.

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