Classically optimized Hamiltonian simulation
arXiv (Cornell University)（2022）
Abstract
Hamiltonian simulation is a promising application for quantum computers to achieve a quantum advantage. We present classical algorithms based on tensor network methods to optimize quantum circuits for this task. We show that the classically optimized circuits can be orders of magnitude more accurate than Trotter product formulas.
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Key words
Quantum Simulation,Simulation Platforms,Quantum Computation,Performance Optimization,Fault-tolerant Quantum Computation
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