Scientist

John Preskill

1953 – present · quantum computing, quantum information, quantum gravity
American theoretical physicist, one of the pioneers of quantum information and quantum computing. He coined the term 'quantum supremacy' and described the stages of development of quantum technologies. Known for his work on topological quantum computing, quantum error correction, and the connection between black holes and quantum information.

Biography

Studied at Princeton (undergraduate) and Harvard (PhD). Professor at the California Institute of Technology, where he directs the Institute for Quantum Information and Matter. Actively popularizes science, gives a famous lecture course and runs the blog 'Quantum Frontiers'.

Key discoveries

💡 Preskill is known for losing a bet with a colleague (Stephen Jordan) about the achievement of quantum supremacy, but actively promotes the event, hailing it as a great achievement.
"He said that we are at the dawn of the quantum era — a time when we are learning to control complex quantum systems, possibly the most important frontier of modern science."
Concepts
black holesuperpositionquantum optics
Laws
no-cloning theorem
Scientists
Fritz ZwickyJacob BekensteinSubrahmanyan ChandrasekharRainer WeissCharles TownesStephen HawkingAlain AspectKarl Schwarzschild

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Photo Editor for Quantum Computers
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Quantum Tangles: How Ions Revealed the Thermal Life of a Non-Abelian Theory
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Quantum Computer Errors Learn to Fix Themselves
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Quantum Key Shielded from Blind Spots
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Quantum Copying: Encryption Beats the Ban
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Aluminum Thickness Holds the Key to Quantum Computer Noise
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Magnetic Patterns on a Tiny Sphere
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The Quantum Dance of Rings on a Doughnut
Each qubit has its own little ring, freely sliding on the doughnut. All quantum logic boils down to smooth movements: shift, flip, connect. Entanglement, for example, is when two doughnuts stick together, and the rings on them begin to spin synchronously, like figure skaters in pairs skating. The key insight: the geometry of the surface dictates the rules of the game.
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Measuring the Invisible: Machine Learning Reads Electronic Patterns
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