Quantum Physics
for Next Generation AI


Quantum physics
for next-generation AI

Tunnel uses advanced mathematics and theoretical physics to build new machine learning models and trains those models using algorithms inspired by condensed matter.

In contrast to neural networks, which rely on high temperature statistical physics, Tunnel uses a theoretical infrastructure built on low temperature physics that takes advantage of quantum effects.

Tunneling refers to the quantum mechanical phenomenon where a particle tunnels through a barrier that it classically could not surmount.

Quantum physics
for next-generation AI.

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