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Establishing the Need - Finding the future market for UK Quantum Random Number Generators

Establishing the Need - Finding the future market for UK Quantum Random Number Generators
确定需求 - 寻找英国量子随机数发生器的未来市场
批准号:
10000777
负责人:
金额:
$4.35万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
翻译
丹麦物理学家尼尔·玻尔说:“很难做出预测,特别是对未来。”然而,为了有效地将量子骰子的量子随机数发生器(QRNG)技术商业化,该公司必须对国家、市场部门和形状因素有可靠的预测,以便为其商业化和产品战略提供信息。量子骰子将对QRNG进行市场研究。具有行业投入的初级市场研究将在12个月内进行,然后用于规划未来市场,并确定供应链和量子随机数生成技术的规模将在哪里以及如何扩大。预计这种方法将指导量子骰子进入市场的路线,并将制定出如何扩大规模和建立供应链的方案。预计这种方法可以从英国内部转化为其他新兴的量子技术。量子骰子将基于对基本宏观市场驱动因素的详细理解?使用一种称为场景规划的技术?来构建一个复杂的市场模型(Lindgren,2017)。情景规划过程将允许对未来进行明确的宏观展望,并根据与该设想一致的假设建立QRNG预测模型。该项目的第二部分是建立一个基于对多个国家、市场部门和形状因素的QRNG数量预测的市场模型。
英文摘要
Danish physicist, Neils Bohr, said "it is difficult to make predictions, especially about the future." However, to efficiently commercialise?Quantum Dice's?Quantum Random Number?Generator (QRNG)?technology, the company must have reliable forecasts on countries, market sectors and form factors to inform its commercialization and product strategy.?Quantum Dice will undertake a market research study for QRNGs. Primary market research with industry input will be conducted over twelve months, to be then used to road map future markets and establish where and how the supply chains and scale up in quantum random number generation technology will occur. It is anticipated that this approach will guide Quantum Dice's routes to market and will map out how scale up and supply chains can be established. It is anticipated that this approach can be translated to other emerging quantum technologies from within the UK.Quantum Dice will build a sophisticated market model based on a detailed understanding of the fundamental macro market drivers?using a technique called Scenario Planning?(Lindgren, 2017). The Scenario Planning process will allow an explicit macro view of the future and build a QRNG forecast model based on assumptions consistent with that view. The second part of the project is to build a market model based on volume forecasts for QRNGs across multiple countries, market sectors,?and form factors.
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