Quantum Computing Is the Future, and Schools Need to Catch Up

2023-03-14 18:59:05
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The harnessed power of the subatomic world could soon upend the modern computing industry. Quantum computers are all over the news, and fundamental work on the theory that gave rise to them even won last year’s Nobel Prize.

But the one place you might not hear about them is inside a physics classroom. And if we have any hope of creating a technology-literate population and developing a workforce for this emerging field, that needs to change.

What’s a quantum computer? Unlike the computer sitting on your desk, which encodes words or numbers as collections of 1s and 0s called “bits,” quantum computers rely on quantum bits or “qubits,” which are more, well, dicey (much to Einstein’s chagrin). Unlike bits, qubits assign weights to their 1s and 0s, more like how you would tailor loaded dice, which means there is a probability associated with measuring either number. They lack a definite value, instead embodying a bit of both states until you measure them. Quantum algorithms run on these qubits, and, theoretically, perform calculations by rolling these loaded dice, causing their probabilities to interfere and increasing their odds of finding the ideal solution. The ultimate hope is that math operations such as factoring gargantuan numbers, which now would take a computer billions of years to perform, would only take a few days on a quantum computer.

This new way of computing could crack hard problems that are out of reach for classical processors, opening new frontiers everywhere from drug discovery to artificial intelligence. But rather than expose students to quantum phenomena, most physics curricula today are designed to start with the physics ABCs—riveting topics such as strings on pulleys and inclined planes—and while students certainly need to know the basics (there’s room for Newton and Maxwell alongside Schrödinger’s cat), there should to be time spent connecting what they are learning to state-of-the-art technology.

That matters because quantum computing is no longer a science experiment. Technology demonstrations from IBM (my employer), Google and other industry players prove that useful quantum computing is on the horizon. The supply of quantum workers however, remains quite small. A 2021 McKinsey report predicts major talent shortages—with the number of open jobs outnumbering the number of qualified applicants by about 3 to 1—until at least the end of the decade without fixes. That report also estimates that the quantum talent pool in the U.S. will fall far behind China and Europe. China has announced the most public funding to date of any country, more than double the investments by E.U. governments, $15.3 billion compared to $7.2 billion, and eight times more than U.S. government investments.

Thankfully, things are starting to change. Universities are exposing students sooner to once-feared quantum mechanics courses. Students are also learning through less-traditional means, like YouTube channels or online courses, and seeking out open-source communities to begin their quantum journeys. And it’s about time, as demand is skyrocketing for quantum-savvy scientists, software developers and even business majors to fill a pipeline of scientific talent. We can’t keep waiting six or more years for every one of those students to receive a Ph.D., which is the norm in the field right now.

Schools are finally responding to this need. Some universities are offering non-Ph.D. programs in quantum computing, for example. In recent years, Wisconsin and the University of California, Los Angeles, have welcomed inaugural classes of quantum information masters’ degree students into intensive year-long programs. U.C.L.A. ended up bringing in a much larger cohort than the university anticipated, demonstrating student demand. The University of Pittsburgh has taken a different approach, launching a new undergraduate major combining physics and traditional computer science, answering the need for a four-year program that prepares students for either employment or more education. In addition, Ohio recently became the first state to add quantum training to its K-12 science curricula.

And finally, professors are starting to incorporate hands-on, application-focused lessons into their quantum curricula. Universities around the world are beginning to teach courses using Qiskit, Cirq and other open-source quantum programming frameworks that let their students experiment on real quantum computers through the cloud.

Some question this initiative. I’ve heard skeptics ask, is it a good idea to train a new generation of students in a technology that is not fully realized? Or what can really be gained by trying to teach quantum physics to students so young?

These are reasonable questions but consider: Quantum is more than just a technology; it’s a field of study that undergirds chemistry, biology, engineering and more; quantum education is valuable beyond just computing. And if quantum computing does pan out—which I think it will—then we’ll be far better off if more people understand it.

Quantum technology is the future, and quantum computing education is STEM education, as Charles Tahan, the director at the National Quantum Coordination Office, once told me. Not all of these students will end up directly in the quantum industry at the end, and that’s all for the better. They might work in a related science or engineering field, such as fiber optics or cybersecurity, that would benefit from their knowledge of quantum, or in business where they can make better decisions based on their understanding of the technology.

At my job, I talk about quantum technologies to students daily. And I’ve learned that above all, they are hungry to learn. Quantum overturns our perception of reality. It draws people in and keeps them there, as the popularity of NASA and the moon landing did for astrophysics. We should lean into what captures students’ attention and shape our programs and curricula to meet these desires.

For those schools adapting to the emerging quantum era, the core message is simple: don’t underestimate your students. Some might hear the word quantum and shudder, fearing it is beyond their comprehension. But I have met high school and middle school students who grasp the concepts with ease. How can we expect young students to pursue this subject when we gate-keep it behind years of pulleys and sliding blocks? Universities should start introducing quantum information much sooner in the curriculum, and K-12 schools should not shy away from introducing some basic quantum concepts at an early age. We should not underestimate students, but rather, we should trust them to tell us what they want to learn—for their benefit and for all of science. If we drag our feet even a little, we all stand to lose the immense benefits quantum could bring to our economy, technology and future industries.

This is an opinion and analysis article, and the views expressed by the author or authors are not necessarily those of Scientific American.

参考译文
量子计算是未来,学校需要迎头赶上
量子世界中蕴含的巨大力量可能会很快颠覆现代计算机产业。量子计算机频频出现在新闻中,有关它们的理论基础研究甚至赢得了去年的诺贝尔奖。但你可能在物理课堂中很少听到它们。如果我们希望培养出一个技术素养高的人群,以及为这一新兴领域培养专业人才,这种情况就需要改变。什么是量子计算机?与你桌上的普通计算机不同,普通计算机将文字和数字编码为称为“比特”的1和0集合,而量子计算机则依赖于“量子比特”或称“量子位”,它们更具不确定性(这让爱因斯坦非常不悦)。与比特不同,量子比特为其1和0赋予权重,就像你定制加权骰子一样,这意味着你测量它们时会有一个概率分布。它们没有确定的数值,而是同时具有1和0的某些特性,直到你进行测量。量子算法在这些量子位上运行,理论上通过“掷这些加权骰子”进行计算,让概率相互干涉,从而提高找到理想解的可能性。最终的希望是,像分解巨大数字这样的数学运算,目前需要普通计算机上亿年才能完成,但量子计算机只需几天。这种新的计算方式能够解决经典处理器难以处理的难题,为从药物发现到人工智能等各个领域开辟新的疆域。然而,大多数物理课程并未向学生介绍量子现象,而是从基础的经典物理开始,例如滑轮上的绳子或斜面——尽管学生当然需要了解这些基础知识(牛顿和麦克斯韦的理论与薛定谔的猫同样重要),但我们也应该花时间将所学内容与最前沿的技术联系起来。这很重要,因为量子计算已不再是科学实验。IBM(我的雇主)、谷歌等工业界企业的技术演示已证明,有用的量子计算即将实现。然而,目前量子领域的人才仍然非常稀缺。一份2021年麦肯锡的报告预测,如果不采取行动,至少到本十年结束,人才短缺仍将严重,空缺职位与合格申请者的比率达3比1。该报告还估计,美国的量子人才库将远远落后于中国和欧洲。中国已宣布为量子研究投入了目前世界上最高的公共资金,超过欧盟国家投资的两倍,达到153亿美元,而欧盟仅为72亿美元,并且是中国政府投资的八倍。幸运的是,情况正在发生变化。大学正开始更早地向学生介绍曾经令人畏惧的量子力学课程。学生也通过非传统方式学习,比如YouTube频道或在线课程,并加入开源社区,开启他们的量子之旅。现在正是时候了,因为对具备量子技术的科学家、软件开发者甚至商科学生的市场需求正在激增。我们不能继续等待6年甚至更长时间,让每个学生都获得博士学位——这目前是该领域的常态。学校终于开始回应这一需求。例如,一些大学已开始提供非博士学位的量子计算项目。近年来,威斯康星大学和加州大学洛杉矶分校(UCLA)已分别欢迎首批量子信息硕士生进入为期一年的密集课程。UCLA最终招收的学生数量远超预期,说明了学生的需求。匹兹堡大学则采取了不同的策略,推出一个新的本科专业,将物理学与传统计算机科学结合,以满足对四年项目的需求,为学生准备就业或进一步深造。此外,俄亥俄州最近成为第一个在其K-12科学课程中加入量子培训的州。最后,教授们也开始在量子课程中引入实践性、以应用为导向的教学。全球的大学开始使用Qiskit、Cirq等开源量子编程框架来开设课程,让学生通过云端在真正的量子计算机上实验。有些人对这一举措表示质疑。我曾听过一些怀疑者提问:训练学生掌握一项尚未完全实现的技术是否合适?或者,过早地教学生量子物理,他们真的能从中获得什么?这些问题是合理的,但请考虑:量子不仅仅是技术,它更是一门研究领域,支撑着化学、生物学、工程学等多个学科;量子教育的价值远超计算领域。如果量子计算真的能取得突破——我相信会的——那么我们能有更多人理解它就更好了。正如美国国家量子协调办公室主任查尔斯·塔汉(Charles Tahan)曾对我说的那样,量子技术是未来,而量子计算教育就是STEM教育。并非所有学生最终都会直接进入量子行业,而这恰恰是好事。他们可能进入相关科学或工程领域,如光纤通信或网络安全,这些领域都可以从他们对量子的理解中受益,或者进入商业领域,在理解技术的基础上做出更好的决策。在我的工作中,我每天都会向学生讲解量子技术。我学到最关键的一点是:他们非常渴望学习。量子颠覆了我们对现实的认知。它吸引人们并留住他们,就像NASA和登月事件对天体物理学的吸引力一样。我们应该把握住能引起学生兴趣的元素,并据此设计我们的课程和项目。对于正在适应这一新兴量子时代的学校来说,核心信息很简单:不要低估你的学生。有些人一听到“量子”这个词就感到恐惧,担心自己无法理解。但我遇见过中学生和高中生,他们轻松地掌握了这些概念。如果我们用滑轮和滑块这些课程把量子学拦在门外,我们怎么能期望年轻人去学习它呢?大学应在课程中更早地引入量子信息内容,而K-12学校也不应害怕在早期阶段引入一些基本的量子概念。我们不应低估学生,而应信任他们,相信他们知道自己想学什么——这不仅对他们有益,对整个科学界也有益。如果我们稍有拖延,我们都将错失量子技术可能为我们的经济、科技和未来产业带来的巨大好处。本文为观点与分析文章,作者的观点未必代表《科学美国人》杂志的立场。
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