Quantum Computing Workshop for Advancing Aerospace Sciences

题为“推进航空航天科学的量子计算研讨会”的研讨会定于2017年11月7日至8日在弗吉尼亚州萨福克的洛克希德·马丁创新中心举行。 有关研讨会的更多详细信息，请访问http://www.nianet.org/quantumcomputing/。 研讨会的目标是了解开发一种新型计算方法的挑战和机遇，这种方法可以显着提高计算机速度，并可应用于科学和工程问题。 这对各种应用都有影响，包括机器学习、材料设计、个性化医疗、高级天气预测、能源分配和优化等。 与传统计算机相比，量子计算机使用完全不同的计算范式。 传统的计算机硬件使用硅来处理信息的“位”，可以编码为0或1。 量子计算机使用所谓的“量子比特”，它允许信息同时使用量子力学的不寻常行为进行编码。 例如，这种量子行为已经在不同的实验系统中通过控制和测量光和电来测量。 然而，将这些原型机器转变为具有大量量子位的量子计算机，可以可靠地处理信息，仍处于起步阶段。 该研讨会将汇集行业领导者，政府实验室研究人员和大学研究人员，以确定新的目标和目的，以过渡如何使用先进的硬件和量子算法扩展小规模量子计算测试平台。 预计这将为解决公众利益和国家安全的实际问题提供路线图。 受邀演讲者将围绕以下四个主题领域讨论挑战和机遇：1）量子算法，2）量子计算硬件，3）量子系统的控制和纠错，以及4）航空科学应用。 包括两位女性演讲者在内的14位全球专家将讨论与这四个量子计算领域相关的当前研究。本次研讨会的目的是将量子计算和量子信息专家聚集在一起，讨论量子算法，硬件及其对支持航空科学计算的影响的挑战，机遇和最新发展。 目标是制定一个成功的路线图，将数学家、物理学家、计算机科学家和工程师联系起来，共同探索量子加速可能影响科学和工程应用领域特定问题的能力。 这些特定领域可能包括计算材料科学、流体动力学、不确定性量化、机器学习等。 这将包括讨论算法开发，可扩展性，通用逻辑和纠错方面的最新进展，旨在了解控制量子系统，测量其输出并保护其特性免受外部干扰所需的下一组数学挑战。 量子加速在特定的算法中是众所周知的，这些算法导致因数分解素数的指数增加（Shor算法）和非结构化搜索的二次速度增加（Grover算法）。 最近，有人提出，指数加速可以实现线性代数问题。 类似的研究集中在新的蒙特卡罗量子算法上。这项研究的重点是确定在量子计算机上求解偏微分方程的有效方法。 基于所选的主题，我们将集中讨论这些主题，其中量子算法和硬件可能会收敛到允许有效解决与数学，物理，材料科学和工程问题广泛领域相关的偏微分方程的方法。 通过行业、政府实验室和学术界的量子计算利益相关者之间的讨论，我们希望促进跨学科伙伴关系的建立，并为年轻的教师和研究生提供学习量子计算的机会。 我们设想制定一个路线图，定义未来10-15年可以应对的下一组现实挑战。

A workshop entitled "Quantum Computing Workshop for Advancing Aerospace Sciences" is scheduled to be held in Suffolk, VA at the Lockheed Martin Center for Innovation on November 7-8, 2017. More details on the workshop can be found at http://www.nianet.org/quantumcomputing/. The goals of the workshop are to understand the challenges and opportunities to develop a new type of computing methodology that significantly increases computer speed and can be applied to science and engineering problems. This has implications on a variety of applications including machine learning, materials design, personalized medicine, advanced weather prediction, energy distribution and optimization, among others. Quantum computers use an entirely different computing paradigm in comparison to conventional computers. Conventional computer hardware uses silicon to process information in terms of "bits" that can be encoded in either zeros or ones. Quantum computers use what is known as "qubits" which allow information to be encoded by both zeros and ones at the same time using the unusual behavior of quantum mechanics. This quantum behavior has been measured in different experimental systems by controlling and measuring light and electricity, for example. However, transitioning these prototype machines into a quantum computer with a large number of qubits that can reliably processes information is still in its infancy. This workshop will bring together industry leaders, government laboratory researchers, and university researchers to define new goals and objectives to transition how small scale quantum computing testbeds can be scaled up using advanced hardware and quantum algorithms. This is expected to provide a roadmap for solving practical problems of interests to the general public and national security. The invited speakers will discuss challenges and opportunities centered around the following four topic areas: 1) Quantum algorithms, 2) Quantum computing hardware, 3) Control and error correction of quantum systems, and 4) Aeroscience applications. Fourteen global experts, including two female speakers, will discuss current research related to these four quantum computing areas. The objective of this workshop is to bring together experts on quantum computing and quantum information to discuss the challenges, opportunities, and latest developments in quantum algorithms, hardware, and its impact on supporting aeroscience computations. The goal is to develop a roadmap for success that connects mathematicians, physicists, computer scientists, and engineers to collectively explore capabilities where quantum speed-up may impact domain specific problems in science and engineering applications. These specific areas may include computational materials science, fluid dynamics, uncertainty quantification, machine learning, among others. This will include discussions on the latest advances in algorithm development, scalability, universal logic, and error correction with the aim to understand the next set of mathematical challenges required to control quantum systems, measure their outputs, and preserve their properties from outside disturbances. Quantum speed-up is well known in specific algorithms that lead to exponential increases in factoring prime numbers (Shor's algorithm) and quadratic speed increases in unstructured searches (Grover's algorithm). More recently, it has been suggested that exponential speed-up can be achieved in linear algebra problems. Similar research has focused on new Monte Carlo quantum algorithms. This research is focused on identifying efficient means to solve partial differential equations on a quantum computer. Based upon the chosen topics, we will focus discussions on these topics where quantum algorithms and hardware may converge onto methods that allow for efficient solutions to partial differential equations relevant to a broad area of mathematics, physics, materials science, and engineering problems. Through discussions among quantum computing stakeholders in industry, government laboratories, and academia, we expect to facilitate building partnerships across disciplines and provide opportunities for young faculty and graduate students to learn about quantum computing. We envision developing a roadmap that defines the next set of realistic challenges that can be met over the next 10-15 years.