Solving the quantum search problem in polynomial time on an NMR quantum computer
Xijia Miao

TL;DR
This paper demonstrates that the quantum search problem can be solved in polynomial time using NMR quantum computers by leveraging unitary dynamics and multiple-quantum spectroscopy, offering a practical approach for high-field NMR systems.
Contribution
It introduces a novel method to solve the quantum search problem in polynomial time on NMR quantum computers using unitary dynamics and multiple-quantum spectroscopy.
Findings
Quantum search solved in polynomial time on NMR quantum computer
Utilizes unitary evolution and multiple-quantum coherence detection
Proposes methods to enhance NMR signal for better results
Abstract
The quantum search problem is an important problem due to the fact that a general NP problem can be solved efficiently by an unsorted quantum search algorithm. Here it has been shown that the quantum search problem could be solved in polynomial time on an NMR quantum computer. The NMR ensemble quantum computation is based on the quantum mechanical unitary dynamics that both a closed quantum system and its ensemble obey the same quantum mechanical unitary dynamics instead of on the pseudopure state or the effective pure state of the classical NMR quantum computation. Based on the new principle the conventional NMR multiple-quantum spectroscopy has been developed to solve experimentally the search problem. The solution information of the search problem is first loaded on the unitary evolution propagator which is constructed with the oracle unitary operation and oracle-independent unitary…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
