贫瘠高原统计模型与泡利观测值的反集中

IF 1.3 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY
N. A. Nemkov
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引用次数: 0

摘要

我们介绍了三个主要来源的统计模型:可观测的非局域性、初始状态的纠缠性和电路表达性。例如,非局部观测由随机泡利算子建模,这导致了概率指数接近于1的荒芜高原。这些模型是对传统确定性模型的补充,通常更易于分析。利用这一框架,我们证明了在贫瘠的高原地区,任意两个泡利观测值在以下意义上具有高概率的反集中。虽然每个可观测值都定位在一个指数小的参数子空间中,但这些区域本质上是独立的,因此它们的重叠仍然指数小于每个子空间。这让我们重新思考具有贫瘠高原的量子景观结构及其优化方法,包括热启动策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Models of Barren Plateaus and Anti-Concentration of Pauli Observables

We introduce statistical models for each of the three main sources of barren plateaus: nonlocality of the observable, entanglement of the initial state, and circuit expressivity. For instance, non-local observables are modeled by random Pauli operators, which lead to barren plateaus with probability exponentially close to one. These models are complementary to the conventional deterministic ones, and often simpler to analyze. Using this framework, we show that in the barren plateau regime any two Pauli observables are anti-concentrated with high probability in the following sense. While each of the observables is localized in an exponentially small parameter subspace, these regions are essentially independent, so that their overlap is yet exponentially smaller than each subspace. This invites to rethink the structure of quantum landscapes with barren plateaus and approaches to their optimization, including warm-start strategies.

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来源期刊
JETP Letters
JETP Letters 物理-物理:综合
CiteScore
2.40
自引率
30.80%
发文量
164
审稿时长
3-6 weeks
期刊介绍: All topics of experimental and theoretical physics including gravitation, field theory, elementary particles and nuclei, plasma, nonlinear phenomena, condensed matter, superconductivity, superfluidity, lasers, and surfaces.
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