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Hauptverfasser: Zhang, Qi, Wu, Biao
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2403.04170
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author Zhang, Qi
Wu, Biao
author_facet Zhang, Qi
Wu, Biao
contents We demonstrate the superior capabilities of the recently proposed Lorentz quantum computer (LQC) compared to conventional quantum computers. We introduce an associated computational complexity class termed bounded-error Lorentz quantum polynomial-time (BLQP), demonstrating its equivalence to the complexity class ${\text P}^{\sharp \text{P}}$. We present LQC algorithms that efficiently solve the problem of maximum independent set, PP (probabilistic polynomial-time), and consequently ${\text P}^{\sharp \text{P}}$, all within polynomial time. Additionally, we show that the quantum computing with postselection proposed by Aaronson can be efficiently simulated by LQC, but not vice versa.
format Preprint
id arxiv_https___arxiv_org_abs_2403_04170
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Power of Lorentz Quantum Computer
Zhang, Qi
Wu, Biao
Quantum Physics
Computational Complexity
We demonstrate the superior capabilities of the recently proposed Lorentz quantum computer (LQC) compared to conventional quantum computers. We introduce an associated computational complexity class termed bounded-error Lorentz quantum polynomial-time (BLQP), demonstrating its equivalence to the complexity class ${\text P}^{\sharp \text{P}}$. We present LQC algorithms that efficiently solve the problem of maximum independent set, PP (probabilistic polynomial-time), and consequently ${\text P}^{\sharp \text{P}}$, all within polynomial time. Additionally, we show that the quantum computing with postselection proposed by Aaronson can be efficiently simulated by LQC, but not vice versa.
title The Power of Lorentz Quantum Computer
topic Quantum Physics
Computational Complexity
url https://arxiv.org/abs/2403.04170