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1
Introduction
2
Hamiltonian simulation
3
Highorder method
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Arrow bounds
5
First application
6
Comparison
7
Numerical test
8
Adiabatic computing
9
Discrete evolution
10
Limitations
Description:
Explore a 39-minute conference talk on improved complexity estimation for Hamiltonian simulation using the Trotter formula. Delve into Dong An's presentation at IPAM's Quantum Numerical Linear Algebra Workshop, covering two specific scenarios: simulating the Schrödinger equation with time-dependent effective mass and near adiabatic dynamics. Discover how measuring error in vector norm can potentially reduce computational costs, and learn about the efficiency of first-order Trotter formula in discrete near adiabatic evolution operators. Gain insights into the poly-logarithmic scaling of complexity under certain conditions and understand the implications for quantum numerical linear algebra.

Improved Complexity Estimation for Hamiltonian Simulation with Trotter Formula

Institute for Pure & Applied Mathematics (IPAM)
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