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1
Introduction
2
Background
3
Outline
4
Motivation
5
Experimental Model
6
Results
7
Theorem
8
Running Time
9
Scaling of M
10
Theta Log in Depth
11
Ideal RCs
12
High Noise
13
XClass
14
Summary
15
Recent Progress
16
Practical Challenges
17
Power Arguments
18
Polypass Integral
19
Efficient Enumeration
20
Discussion
21
Conclusions
22
Questions
23
Panel
Description:
Explore a comprehensive quantum colloquium lecture on the development of a polynomial-time classical algorithm for noisy random circuit sampling. Delve into the intricacies of quantum random circuit sampling (RCS) and its role in recent "quantum supremacy" experiments. Examine the computational complexity of RCS and learn about a groundbreaking polynomial-time classical algorithm for sampling from noisy random quantum circuits. Understand the implications of this algorithm on the scalability of experimental violations of the extended Church-Turing thesis. Gain insights into the theoretical aspects of the algorithm, including its running time and scaling properties. Investigate recent progress in the field, practical challenges, and power arguments. Participate in a panel discussion featuring experts in quantum computing, exploring the broader implications and future directions of this research.

A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling

Simons Institute
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