High-dimensional multi-input quantum random access codes and mutually
unbiased bases
- URL: http://arxiv.org/abs/2111.08890v6
- Date: Sat, 15 Oct 2022 02:59:37 GMT
- Title: High-dimensional multi-input quantum random access codes and mutually
unbiased bases
- Authors: Rui-Heng Miao, Zhao-Di Liu, Yong-Nan Sun, Chen-Xi Ning, Chuan-Feng Li
and Guang-Can Guo
- Abstract summary: We present a general method to find the maximum success probability of $n(d)rightarrow1$ QRACs.
Based on the analytical solution, we show the relationship between MUBs and $n(d)rightarrow1$ QRACs.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum random access codes (QRACs) provide a basic tool for demonstrating
the advantages of quantum resources and protocols, which have a wide range of
applications in quantum information processing tasks. However, the
investigation and application of high-dimensional $(d)$ multi-input $(n)$
$n^{(d)}\rightarrow1$ QRACs are still lacking. Here, we present a general
method to find the maximum success probability of $n^{(d)}\rightarrow1$ QRACs.
In particular, we give the analytical solution for maximum success probability
of $3^{(d)}\rightarrow1$ QRACs when measurement bases are mutually unbiased
bases (MUBs). Based on the analytical solution, we show the relationship
between MUBs and $n^{(d)}\rightarrow1$ QRACs. First, we provide a systematic
method of searching for the operational inequivalence of MUBs (OI-MUBs) when
the dimension $d$ is a prime power. Second, we theoretically prove that,
surprisingly, the commonly used Galois MUBs are not the optimal measurement
bases to obtain the maximum success probability of $n^{(d)}\rightarrow1$ QRACs,
which indicates a breakthrough according to the traditional conjecture
regarding the optimal measurement bases. Furthermore, based on high-fidelity
high-dimensional quantum states of orbital angular momentum, we experimentally
achieve two-input and three-input QRACs up to dimension 11. We experimentally
confirm the OI-MUBs when $d=5$. Our results open alternative avenues for
investigating the foundational properties of quantum mechanics and quantum
network coding.
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