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1
Intro
2
Complexity of random quantum circuits
3
random circuit sampling Conjecture
4
This talk
5
Haar-random unitaries
6
Is Haar really necessary?
7
Pseudo-random unitaries
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Applications of designs
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1-d random circuits depth T
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random circuits in D=2,3,...
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General geometries
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Proof of D=1 result
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low-depth circuits
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tensor contraction in 1-D
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simulating 2-D circuits
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cheaper tensor contraction
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Approximate simulation
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Does the algorithm work?
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random tensor networks
20
Open questions
Description:
Explore the intricacies of random quantum circuits, phase transitions, and complexity in this 41-minute lecture by Aram Harrow at the Institute for Advanced Study. Delve into topics such as the complexity of random quantum circuits, random circuit sampling conjecture, and Haar-random unitaries. Examine the necessity of Haar randomness and investigate pseudo-random unitaries. Discover applications of designs and analyze 1-D random circuits depth T, as well as random circuits in higher dimensions. Study general geometries and the proof of D=1 result. Investigate low-depth circuits, tensor contraction in 1-D, and simulating 2-D circuits. Learn about cheaper tensor contraction and approximate simulation techniques. Evaluate the effectiveness of the algorithm and explore random tensor networks. Conclude with open questions in the field of quantum complexity.

Random Quantum Circuits, Phase Transitions and Complexity - Aram Harrow

Institute for Advanced Study
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