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

2023-03-14
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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
利用亚原子世界的力量可能很快就会颠覆现代计算产业。量子计算机到处都是新闻,引发量子计算机的理论基础研究甚至获得了去年的诺贝尔奖。但有一个地方你可能没听说过,那就是物理教室里。如果我们有希望为这一新兴领域培养一群懂技术的人,并培养一支劳动力队伍,这种情况就需要改变。量子计算机是什么?不像坐在你桌子上的计算机,它将单词或数字编码为1和0的集合,称为“比特”,量子计算机依赖于量子比特或“量子位”,这更,好吧,更不稳定(这让爱因斯坦很懊恼)。与比特不同,量子位为它们的1和0分配权重,更像你如何定制加载的骰子,这意味着测量任何一个数字都有一个概率。它们缺乏一个确定的值,而是体现了两种状态的一部分,直到你测量它们。量子算法在这些量子位上运行,从理论上讲,通过滚动这些加载的骰子来执行计算,使它们的概率相互干扰,并增加找到理想解决方案的几率。最终的希望是,像分解巨大数字这样的数学运算,现在需要计算机数十亿年才能完成,而在量子计算机上只需要几天时间。这种新的计算方式可以解决传统处理器无法解决的难题,从药物发现到人工智能,开辟了新的领域。但是,今天的大多数物理课程不是让学生接触量子现象,而是设计成从物理abc开始——引人入胜的主题,如滑轮上的弦和斜面——虽然学生当然需要了解基础知识(除了Schrödinger的猫之外,还有牛顿和麦克斯韦),但应该花时间将他们所学的内容与最先进的技术联系起来。这很重要,因为量子计算不再是一个科学实验。来自IBM(我的雇主)、谷歌和其他行业参与者的技术演示证明,有用的量子计算即将出现。然而,量子工作者的供应仍然相当少。麦肯锡2021年的一份报告预测,至少到2020年,人才短缺将会严重,空缺职位的数量将是合格申请人数量的三倍左右。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。中国宣布了迄今为止最多的公共投资,是欧盟政府投资的两倍多,分别为153亿美元和72亿美元,是美国政府投资的八倍。值得庆幸的是,情况开始发生变化。大学正在让学生们更快地接触曾经令人畏惧的量子力学课程。学生们也通过不那么传统的方式学习,比如YouTube频道或在线课程,并寻找开源社区开始他们的量子之旅。现在是时候了,因为对精通量子的科学家、软件开发人员甚至商科专业人士的需求正在飙升,以填补科学人才的管道。我们不能等待六年或更长时间,让每个学生都获得博士学位,这是目前该领域的常态。 学校终于对这种需求做出了回应。一些大学提供非博士学位。比如量子计算的程序。近年来,威斯康辛州和加州大学洛杉矶分校(University of California, Los Angeles)欢迎量子信息硕士学位学生参加为期一年的密集课程。加州大学洛杉矶分校最终招收了比学校预期多得多的学生,显示出学生需求。匹兹堡大学(University of Pittsburgh)采取了不同的方法,开设了一个新的本科专业,将物理学和传统的计算机科学结合起来,以满足学生对四年课程的需求,为就业或接受更多教育做准备。此外,俄亥俄州最近成为第一个将量子训练加入K-12科学课程的州。最后,教授们开始在量子课程中加入实际操作、注重应用的课程。世界各地的大学都开始使用Qiskit、Cirq和其他开源量子编程框架教授课程,让学生通过云在真正的量子计算机上进行实验。一些人质疑这一举措。我曾听到怀疑论者问,用一种尚未完全实现的技术来训练新一代学生,这是个好主意吗?或者,尝试向如此年轻的学生教授量子物理,真正能获得什么?这些都是合理的问题,但考虑一下:量子不仅仅是一项技术;这是一个研究领域,它巩固了化学、生物学、工程学等;量子教育的价值不仅仅是计算。如果量子计算真的成功了——我认为它会成功的——那么如果更多的人理解它,我们会过得更好。正如美国国家量子协调办公室主任查尔斯·塔汉(Charles Tahan)曾经告诉我的那样,量子技术是未来,量子计算教育是STEM教育。并不是所有这些学生最终都会直接进入量子行业,这一切都是好事。他们可能在相关的科学或工程领域工作,比如光纤或网络安全,这将受益于他们对量子的知识,或者在商业领域工作,他们可以根据对技术的理解做出更好的决策。在我的工作中,我每天都和学生们谈论量子技术。我了解到,最重要的是,他们渴望学习。量子颠覆了我们对现实的认知。它吸引人们并让他们留在那里,就像NASA和登月对天体物理学的影响一样。我们应该倾向于什么能吸引学生的注意力,并制定我们的项目和课程来满足这些需求。对于那些正在适应量子时代的学校来说,核心信息很简单:不要低估你的学生。有些人听到量子这个词可能会不寒而栗,担心它超出了他们的理解范围。但我遇到过一些高中生和初中生,他们很容易就掌握了这些概念。当我们把它关在多年的滑轮和滑块后面时,我们怎么能指望年轻的学生去学习这门学科呢?大学应该更早地开始在课程中引入量子信息,K-12学校也不应该羞于在早期引入一些基本的量子概念。我们不应该低估学生,相反,我们应该相信他们会告诉我们他们想学什么——为了他们自己的利益,也为了整个科学。如果我们稍微拖后腿,我们都将失去量子给我们的经济、技术和未来产业带来的巨大利益。这是一篇观点和分析文章,作者或作者所表达的观点不一定是科学美国人的观点。
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