High-Dimensional Linear Algebra in Quantum Algorithms - From Quantum Walks to Matrix Inversion

High-Dimensional Linear Algebra in Quantum Algorithms - From Quantum Walks to Matrix Inversion

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Block-encoding A way to represent large matrices on a quantum computer efficiently

5 of 12

5 of 12

Block-encoding A way to represent large matrices on a quantum computer efficiently

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High-Dimensional Linear Algebra in Quantum Algorithms - From Quantum Walks to Matrix Inversion

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  1. 1 High-dimensional linear algebra in quantum algorith from quantum walks to matrix inversion
  2. 2 High-level explanation of quadratic speed-ups Quantum fast-forwarding (Apers & Sarlette 2018) We can implement a unitary V such that
  3. 3 Szegedy quantum walk based search Suppose we have some unknown marked vertices MCV. Quadratically faster hitting Hitting time: expected time to hit a marked verlax Starting from the stationary distr.…
  4. 4 k-distinctness Are there k distinct elements mapped to the same image?
  5. 5 Block-encoding A way to represent large matrices on a quantum computer efficiently
  6. 6 Quantum Singular Value Transformation (QSVT) Main theorem about OSVT (G, Su, Low, Wiebe 2018)
  7. 7 Amplitude amplification and estimation Fixed-point amplitude ampl. (Yoder, Low, Chuang 2014) Amplitude amplification problem: Given U such that
  8. 8 Detecting a bias in a quantum sampler Suppose we are given such that
  9. 9 Speeding up Monte Carlo methods Montanaro 2015 Sampling algorithm Suppose we have a sampling algorithm sampling from a random variable X.
  10. 10 Direct implementation of the pseudoinverse (HHL)
  11. 11 Application for Boolean equations - Chen & Gao 201
  12. 12 Continuous optimization Convex optimization

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