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Nomination created on December 22, 2025
Get John Preskill on Theories of Everything with Curt Jaimungal!

Theoretical physicist @Caltech, Director of @IQIM_Caltech, Amazon Scholar

Dive into the mind-bending worlds of theoretical physics, consciousness, AI, and the divine with Curt Jaimungal's technically rigorous explorations that challenge conventional thinking. This podcast delivers in-depth interviews and analyses that blend mathematical precision with philosophical depth, appealing to curious minds seeking to unravel the universe's greatest mysteries. Join the journey for conversations that push the boundaries of knowledge and inspire new perspectives.
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Suggested
Quantum advantage in machine learning may come from learning quantum states themselves
Preskill's 'Quantum Computing in the NISQ era' paper suggested that quantum machine learning could be a near-term application. But is there any fundamental reason quantum algorithms can outclass classical learners, or is the advantage mostly about data that is already quantum?
Quantum gravity may be understood through quantum information principles
The holographic principle and tensor networks suggest that space-time geometry emerges from the entanglement structure of quantum states. Does Preskill believe this is the right road to quantum gravity, and what experiments, even in the lab, could test these ideas?
Is the NISQ era coming to an end, and what comes next?
Preskill famously coined the term 'NISQ' for noisy intermediate-scale quantum devices. With logical qubits and error correction advancing rapidly, does he still think near-term noisy devices can produce useful science, or should we focus on fault-tolerant architectures?