IEEE Spectrum 09月29日
量子计算芯片小型化与质量提升
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量子计算技术面临诸多挑战,其中小型化和量子比特质量是关键。IBM计划在2023年推出1121量子比特处理器,但需要非常大的芯片。MIT研究人员利用二维材料六方氮化硼(hBN)减小量子比特尺寸并减少相邻量子比特的干扰,显著提高量子比特密度。他们的方法涉及在超导电路的电容中使用hBN,这种材料缺陷少且化学惰性,有助于降低损耗并缩小芯片尺寸。研究为量子计算芯片的可扩展性提供了新途径。

💡MIT研究人员利用二维材料六方氮化硼(hBN)成功减小了量子比特的尺寸,并显著降低了相邻量子比特之间的干扰,从而大幅提升了量子比特的密度。这种材料因其极低的缺陷和化学惰性,成为超导电路电容的理想选择。

🔬与传统硅基电容相比,hBN电容在超低温环境下表现出更低的损耗,其结构设计(如堆叠原子单层)使电场集中在 sandwich 结构内部,减少了外部氧化对性能的影响,从而实现了更小的电容面积。

🚀该研究不仅解决了量子比特小型化问题,还为量子计算芯片的可扩展性提供了新方案。研究人员认为,hBN的成功应用为其他混合二维材料构建超导电路奠定了基础,未来可能推动量子计算硬件的进一步发展。

🧪尽管hBN电容在性能上表现优异,但其在制备过程中需要惰性气体环境(如氩气手套箱)以防止niobium diselenide氧化,这给大规模生产带来一定挑战。研究团队指出,关键在于材料界面的密封性,一旦 sandwich 结构形成,长期暴露于空气中的稳定性得到保障。

🌐该成果为量子计算硬件的规模化发展提供了重要参考,特别是在提高量子比特数量与性能的平衡方面。MIT团队的研究为未来利用其他二维材料(如 niobium diselenide)构建高性能超导电路提供了理论和技术支持。



Quantum computing is a devilishly complex technology, with many technical hurdles impacting its development. Of these challenges two critical issues stand out: miniaturization and qubit quality.

IBM has adopted the superconducting qubit road map of reaching a 1,121-qubit processor by 2023, leading to the expectation that 1,000 qubits with today’s qubit form factor is feasible. However, current approaches will require very large chips (50 millimeters on a side, or larger) at the scale of small wafers, or the use of chiplets on multichip modules. While this approach will work, the aim is to attain a better path toward scalability.

Now researchers at MIT have been able to both reduce the size of the qubits and done so in a way that reduces the interference that occurs between neighboring qubits. The MIT researchers have increased the number of superconducting qubits that can be added onto a device by a factor of 100.

“We are addressing both qubit miniaturization and quality,” said William Oliver, the director for the Center for Quantum Engineering at MIT. “Unlike conventional transistor scaling, where only the number really matters, for qubits, large numbers are not sufficient, they must also be high-performance. Sacrificing performance for qubit number is not a useful trade in quantum computing. They must go hand in hand.”

The key to this big increase in qubit density and reduction of interference comes down to the use of two-dimensional materials, in particular the 2D insulator hexagonal boron nitride (hBN). The MIT researchers demonstrated that a few atomic monolayers of hBN can be stacked to form the insulator in the capacitors of a superconducting qubit.

Just like other capacitors, the capacitors in these superconducting circuits take the form of a sandwich in which an insulator material is sandwiched between two metal plates. The big difference for these capacitors is that the superconducting circuits can operate only at extremely low temperatures—less than 0.02 degrees above absolute zero (-273.15 °C).

Superconducting qubits are measured at temperatures as low as 20 millikelvin in a dilution refrigerator.Nathan Fiske/MIT

In that environment, insulating materials that are available for the job, such as PE-CVD silicon oxide or silicon nitride, have quite a few defects that are too lossy for quantum computing applications. To get around these material shortcomings, most superconducting circuits use what are called coplanar capacitors. In these capacitors, the plates are positioned laterally to one another, rather than on top of one another.

As a result, the intrinsic silicon substrate below the plates and to a smaller degree the vacuum above the plates serve as the capacitor dielectric. Intrinsic silicon is chemically pure and therefore has few defects, and the large size dilutes the electric field at the plate interfaces, all of which leads to a low-loss capacitor. The lateral size of each plate in this open-face design ends up being quite large (typically 100 by 100 micrometers) in order to achieve the required capacitance.

In an effort to move away from the large lateral configuration, the MIT researchers embarked on a search for an insulator that has very few defects and is compatible with superconducting capacitor plates.

“We chose to study hBN because it is the most widely used insulator in 2D material research due to its cleanliness and chemical inertness,” said colead author Joel Wang, a research scientist in the Engineering Quantum Systems group of the MIT Research Laboratory for Electronics.

On either side of the hBN, the MIT researchers used the 2D superconducting material, niobium diselenide. One of the trickiest aspects of fabricating the capacitors was working with the niobium diselenide, which oxidizes in seconds when exposed to air, according to Wang. This necessitates that the assembly of the capacitor occur in a glove box filled with argon gas.

While this would seemingly complicate the scaling up of the production of these capacitors, Wang doesn’t regard this as a limiting factor.

“What determines the quality factor of the capacitor are the two interfaces between the two materials,” said Wang. “Once the sandwich is made, the two interfaces are “sealed” and we don’t see any noticeable degradation over time when exposed to the atmosphere.”

This lack of degradation is because around 90 percent of the electric field is contained within the sandwich structure, so the oxidation of the outer surface of the niobium diselenide does not play a significant role anymore. This ultimately makes the capacitor footprint much smaller, and it accounts for the reduction in cross talk between the neighboring qubits.

“The main challenge for scaling up the fabrication will be the wafer-scale growth of hBN and 2D superconductors like [niobium diselenide], and how one can do wafer-scale stacking of these films,” added Wang.

Wang believes that this research has shown 2D hBN to be a good insulator candidate for superconducting qubits. He says that the groundwork the MIT team has done will serve as a road map for using other hybrid 2D materials to build superconducting circuits.

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相关标签

量子计算 量子比特 二维材料 六方氮化硼 超导电路 小型化 可扩展性
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