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arXiv quant-ph/0503239quant-phcs.ET

论近似对称信息完备的正定算子值测量及相关量子态系统

On Approximately Symmetric Informationally Complete Positive Operator-Valued Measures and Related Systems of Quantum States

Andreas Klappenecker, Martin Roetteler, Igor Shparlinski, Arne Winterhof

AI总结:

针对 SIC-POVMs 解析构造困难的问题,基于互无偏基和解析数论提出了两种允许微小偏差的近似 SIC-POVMs 构造方法,并构造了可用于量子计算的近正交向量系统。

摘要:

我们探讨在有限维 $n$ 中构造正定算子值测量(POVMs)的问题,该测量由 $n^2$ 个具有接近均匀内积的一秩算子组成。其动机源于构造对称信息完备 POVMs(SIC-POVMs)的相关问题,这类测量的内积完全均匀。然而,SIC-POVMs 的构造极为困难,尽管在数值构造上取得了一些成功,但目前尚无已知的解析构造方法。我们提出了 SIC-POVMs 近似版本的两类构造方法,允许内积与均匀性存在微小偏差。第一种构造基于从互无偏基的极大集合中选取向量,并在系统维数为素数幂时有效。第二种构造基于对互无偏基子集的矩阵元素进行微扰。此外,我们在 $\C^n$ 中构造了几乎正交的向量系统,这可能对量子计算有用。我们的构造基于解析数论的结果。

英文摘要:

We address the problem of constructing positive operator-valued measures (POVMs) in finite dimension $n$ consisting of $n^2$ operators of rank one which have an inner product close to uniform. This is motivated by the related question of constructing symmetric informationally complete POVMs (SIC-POVMs) for which the inner products are perfectly uniform. However, SIC-POVMs are notoriously hard to construct and despite some success of constructing them numerically, there is no analytic construction known. We present two constructions of approximate versions of SIC-POVMs, where a small deviation from uniformity of the inner products is allowed. The first construction is based on selecting vectors from a maximal collection of mutually unbiased bases and works whenever the dimension of the system is a prime power. The second construction is based on perturbing the matrix elements of a subset of mutually unbiased bases. Moreover, we construct vector systems in $\C^n$ which are almost orthogonal and which might turn out to be useful for quantum computation. Our constructions are based on results of analytic number theory.

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