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芯片上的量子计算:为革命做好准备
 
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芯片上的量子计算:为革命做好准备

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芯片上的量子计算:为革命做好准备

这种发展被比作 1960 年代的桌面计算系统革命。

量子芯片

Seeqc 具有集成量子操作系统的量子 SoC。 (图片来源:Seeqc)

在被誉为等同于从房间规模的硅技术向桌面大小的机器转变的胜利时刻,量子计算现在已经成为芯片规模——从你可能在其他地方看到的房间规模的装置下降,包括在科幻小说。

这项开发由剑桥的量子专家 Riverlane 与纽约和伦敦的数字量子公司 Seeqc 共同牵头。他们是第一个部署具有集成操作系统的量子计算芯片,用于工作流和量子位管理(量子位可与经典计算的晶体管相媲美,但能够相互配对,通过量子状态即时共享信息,还能够表示0 和 1)。上一次我们在计算技术上实现这种小型化水平时,我们开始了计算革命。现在,对量子革命的期望也摆在桌面上,世界将不得不适应新的现实。

在 Devs 中看到的“经典”量子计算机。

这些量子计算机(在这里,如 Devs 中所见)正在走渡渡鸟的道路。 (图片来源:FXP/DNA TV)新芯片引入了可扩展的量子计算,两家公司希望通过增加表面积和量子比特数来扩展设计。目标是使量子位达到数百万,与目前部署的最大(相对微不足道,但仍然非常复杂)76 量子位系统相去甚远,该系统使中国能够声称量子霸权。当然,除了增加量子比特数之外,还有其他扩展方式。在单个独立系统中或通过多个相互连接的系统部署多个芯片可以为实现量子相干性提供更简单的途径。为此,量子操作系统至关重要。进入 Deltaflow.OS。

Dataflow.OS 能够在抽象的管理界面中公开量子力学。

Dataflow.OS 能够在抽象的管理界面中公开量子力学。 (图片来源:Riverland)
Deltaflow.OS 是一个与硬件和平台无关的操作系统(想想 Linux,它填充了从智能手机到物联网再到超级计算机的所有东西),这意味着它可以作为目前在全球范围内追求的各种量子部署技术的控制机制。甚至当多家独立公司(例如 Google、微软和 IBM 等)追求量子霸权的圣杯时,Riverlane 的 Deltaflow.OS 是一个开源的、可在 Github 上使用的操作系统,它采用开放的方式推向市场渗透。

这是有道理的,因为全世界已经建造的 50 多台量子计算机都在独立开发的软件上运行。它仍然是一个新兴领域,以至于没有关于部署和控制系统的标准。一个易于部署、与量子硬件无关的操作系统无疑将加速利用量子计算优势的应用程序的开发,在中国的 76 量子位系统中,已经使某些工作负载的处理速度比最快的经典图灵快数百万倍型超级计算机有可能实现。

为实现这一目标,Riverlane 有效地创建了分层数字量子管理 (DQM) SoC(片上系统),将经典计算能力与量子力学相结合。该公司的图表展示了它所谓的 SFQ(单通量量子)协处理器作为设计的基础层,这使操作系统能够通过相对熟悉的界面与量子位交互向开发人员公开。这提供了“执行数字量子位控制、读出和经典数据处理功能,以及作为纠错平台”的能力。

这种方法有许多优点,因为 SFQ 的资源“(...)在低温冷却环境中与量子位芯片近处并置并集成,以显着降低输入/输出连接的复杂性并最大限度地提高快速、精确、低噪声的数字控制和读出以及节能的经典协同处理的好处。”本质上,经典计算的一些原则仍然适用,因为处理部分越接近,它们的性能就越高。这使操作系统能够运行,并在实际执行计算的活动量子位表旁边分层。

Seeqc的DQM SoC分解图

 

这项努力的灵活性不容小觑。 量子计算的物理学本质上是随着我们的发展而编写的,虽然在某种程度上,对于许多技术和创新工作来说,这是真实的,但没有任何地方像这里那样发生。

有多个与量子计算及其与经典计算的关系相关的问题。 由于 Riverlane 和 Seeqc 的努力,量子计算生态系统现在可以“齐头并进”,共同解决量子计算芯片解决方案的部署和运行问题。

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Seeqc's quantum SoC with an integrated quantum OS. (Image credit: Seeqc)

 

In a moment of triumph that’s being hailed as equivalent to the move from room-scale silicon technology down to desk-sized machines, quantum computing has now gone chip-scale — down from the room-scale contraptions you might have seen elsewhere, including in science fiction. 

The development has been spearheaded by Cambridge-based quantum specialist Riverlane’s work with New York and London-based digital quantum company Seeqc. They’re the first to deploy a quantum computing chip that has an integrated operating system for workflow and qubit management (qubits are comparable to classical computing’s transistors, but capable of pairing between themselves, instantly sharing information via quantum states, and also capable of representing both a 0 and a 1). The last time we achieved this level of miniaturization on a computing technology, we started the computing revolution. Now, expectations for a quantum revolution are on the table as well, and the world will have to adapt to the new reality.

 

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These quantum computers (here, as seen in Devs) are going the way of the dodo. (Image credit: FXP/DNA TV)

The new chip ushers in scalable quantum computing, and the companies hope to scale the design by increasing surface area and qubit count. The aim is to bring qubits up to millions, a far cry from their current deployed maximum of a (comparatively puny, yet still remarkably complex) 76-qubit system that enabled China to claim quantum supremacy. There are, of course, other ways to scale besides increased qubit counts. Deployment of multiple chips in a single self-contained system or through multiple, inter-connectable systems could provide easier paths to quantum coherency. And on that end, a quantum OS is paramount.

Enter Deltaflow.OS.

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Dataflow.OS enables exposure of quantum mechanics in an abstracted management interface. (Image credit: Riverland)

Deltaflow.OS is a hardware and platform-agnostic OS (think Linux, which populates everything from smartphones to IoT to supercomputers), meaning that it can serve as the control mechanism for various quantum deployment technologies currently being pursued around the globe. And even as multiple independent companies —such as Google, Microsoft, and IBM, to name a few — pursue the holy grail of quantum supremacy, Riverlane’s Deltaflow.OS is an open-source, Github-available OS that's taking the open approach for market penetration.

And this makes sense, since the more than 50 quantum computers already built around the world all operate on independently-developed software. It’s such a nascent field still that there are no standards regarding the deployment and control systems. An easily-deployable, quantum hardware-agnostic OS will undoubtedly accelerate development of applications that take advantage of quantum computing’s strengths, which at the 76 qubit system of China, already enables certain workloads to be crunched millions of times faster than the fastest classical, Turing-type supercomputer could ever hope to achieve.

To achieve this, Riverlane has effectively created a layered Digital Quantum Managament (DQM) SoC (System-On-Chip) that pairs classical computing capabilities with quantum mechanics. The company’s diagrams demonstrate what it calls an SFQ (Single Flux Quantum) co-processor as the base layer of the design, which enables the OS to be exposed to developers with a relatively familiar interface for interaction with the qubits. This offers the capability to “perform digital qubit control, readout and classical data processing functions, as well as being a platform for error correction.”

There are numerous advantages to be taken from this approach, as the SFQ’s resources are “(...) proximally co-located and integrated with qubit chips in a cryo-cooled environment to drastically reduce the complexity of input/output connections and maximize the benefits of fast, precise, low-noise digital control and readout, and energy-efficient classical co-processing.” Essentially, some tenets of classical computing still apply, in that the closer the processing parts are, the more performant they are. This enables the OS to run, and is layered next to an active qubit sheet that actually performs the calculations.

 

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Exploded diagram of Seeqc's DQM SoC (Image credit: Seeqc)

Quantum computing has long been the holy grail in development for new processing technologies. However, the complexity of this endeavour can’t be understated. The physics for quantum computing are essentially being written as we go, and while that is true, in a way, for many technological and innovation efforts, nowhere does It happen as much as here.

 


   
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Harvard-MIT Quantum Computing Breakthrough – “We Are Entering a Completely New Part of the Quantum World”

Team develops simulator with 256 qubits, largest of its kind ever created.

A team of physicists from the Harvard-MIT Center for Ultracold Atoms and other universities has developed a special type of quantum computer known as a programmable quantum simulator capable of operating with 256 quantum bits, or “qubits.”

The system marks a major step toward building large-scale quantum machines that could be used to shed light on a host of complex quantum processes and eventually help bring about real-world breakthroughs in material science, communication technologies, finance, and many other fields, overcoming research hurdles that are beyond the capabilities of even the fastest supercomputers today. Qubits are the fundamental building blocks on which quantum computers run and the source of their massive processing power.

 

“This moves the field into a new domain where no one has ever been to thus far,” said Mikhail Lukin, the George Vasmer Leverett Professor of Physics, co-director of the Harvard Quantum Initiative, and one of the senior authors of the study published on July 7, 2021, in the journal Nature. “We are entering a completely new part of the quantum world.”

Dolev Bluvstein (from left), Mikhail Lukin, and Sepehr Ebadi developed a special type of quantum computer known as a programmable quantum simulator. Ebadi is aligning the device that allows them to create the programmable optical tweezers. Credit: Rose Lincoln/Harvard Staff Photographer

According to Sepehr Ebadi, a physics student in the Graduate School of Arts and Sciences and the study’s lead author, it is the combination of system’s unprecedented size and programmability that puts it at the cutting edge of the race for a quantum computer, which harnesses the mysterious properties of matter at extremely small scales to greatly advance processing power. Under the right circumstances, the increase in qubits means the system can store and process exponentially more information than the classical bits on which standard computers run.

“The number of quantum states that are possible with only 256 qubits exceeds the number of atoms in the solar system,” Ebadi said, explaining the system’s vast size.

Already, the simulator has allowed researchers to observe several exotic quantum states of matter that had never before been realized experimentally, and to perform a quantum phase transition study so precise that it serves as the textbook example of how magnetism works at the quantum level.

By arranging them in sequential frames and taking images of single atoms, the researchers can even make fun atom videos. Credit: Courtesy of Lukin group

These experiments provide powerful insights on the quantum physics underlying material properties and can help show scientists how to design new materials with exotic properties.

The project uses a significantly upgraded version of a platform the researchers developed in 2017, which was capable of reaching a size of 51 qubits. That older system allowed the researchers to capture ultra-cold rubidium atoms and arrange them in a specific order using a one-dimensional array of individually focused laser beams called optical tweezers.

This new system allows the atoms to be assembled in two-dimensional arrays of optical tweezers. This increases the achievable system size from 51 to 256 qubits. Using the tweezers, researchers can arrange the atoms in defect-free patterns and create programmable shapes like square, honeycomb, or triangular lattices to engineer different interactions between the qubits.

Dolev Bluvstein looks at 420 mm laser that allows them to control and entangle Rydberg atoms. Credit: Harvard University

“The workhorse of this new platform is a device called the spatial light modulator, which is used to shape an optical wavefront to produce hundreds of individually focused optical tweezer beams,” said Ebadi. “These devices are essentially the same as what is used inside a computer projector to display images on a screen, but we have adapted them to be a critical component of our quantum simulator.”

The initial loading of the atoms into the optical tweezers is random, and the researchers must move the atoms around to arrange them into their target geometries. The researchers use a second set of moving optical tweezers to drag the atoms to their desired locations, eliminating the initial randomness. Lasers give the researchers complete control over the positioning of the atomic qubits and their coherent quantum manipulation.

Other senior authors of the study include Harvard Professors Subir Sachdev and Markus Greiner, who worked on the project along with Massachusetts Institute of Technology Professor Vladan Vuletić, and scientists from Stanford, the University of California Berkeley, the University of Innsbruck in Austria, the Austrian Academy of Sciences, and QuEra Computing Inc. in Boston.

“Our work is part of a really intense, high-visibility global race to build bigger and better quantum computers,” said Tout Wang, a research associate in physics at Harvard and one of the paper’s authors. “The overall effort [beyond our own] has top academic research institutions involved and major private-sector investment from Google, IBM, Amazon, and many others.”

The researchers are currently working to improve the system by improving laser control over qubits and making the system more programmable. They are also actively exploring how the system can be used for new applications, ranging from probing exotic forms of quantum matter to solving challenging real-world problems that can be naturally encoded on the qubits.

“This work enables a vast number of new scientific directions,” Ebadi said. “We are nowhere near the limits of what can be done with these systems.”

Reference: “Quantum phases of matter on a 256-atom programmable quantum simulator” by Sepehr Ebadi, Tout T. Wang, Harry Levine, Alexander Keesling, Giulia Semeghini, Ahmed Omran, Dolev Bluvstein, Rhine Samajdar, Hannes Pichler, Wen Wei Ho, Soonwon Choi, Subir Sachdev, Markus Greiner, Vladan Vuletić and Mikhail D. Lukin, 7 July 2021, Nature.
DOI: 10.1038/s41586-021-03582-4

This work was supported by the Center for Ultracold Atoms, the National Science Foundation, the Vannevar Bush Faculty Fellowship, the U.S. Department of Energy, the Office of Naval Research, the Army Research Office MURI, and the DARPA ONISQ program.



   
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