Computing Faster With Quasi-Particles
May 10, 2019 | University of WurzburgEstimated reading time: 2 minutes

In collaboration with researchers from Harvard University, researchers from the University of Würzburg have made an important step on the road to topological quantum computers.
Scheme of a two-dimensional Josephson junction: A normal conducting two-dimensional electron gas sandwiched between two superconductors S (grey). If an in-plane magnetic field is applied, Majorana fermions are expected to appear at the ends of the normal region. (Picture: Ewelina Hankiewicz) (Image: Ewelina Hankiewicz)
Majorana particles are very peculiar members of the family of elementary particles. First predicted in 1937 by the Italian physicist Ettore Majorana, these particles belong to the group of so-called fermions, a group that also includes electrons, neutrons and protons. Majorana fermions are electrically neutral and also their own anti-particles. These exotic particles can, for example, emerge as quasi-particles in topological superconductors and represent ideal building blocks for topological quantum computers.
Going to Two Dimensions
On the road to such topological quantum computers based on Majorana quasi-particles, physicists from the University of Würzburg together with colleagues from Harvard University (USA) have made an important step: Whereas previous experiments in this field have mostly focused on one-dimensional systems, the teams from Würzburg and Harvard have succeeded in going to two-dimensional systems.
In this collaboration, the groups of Ewelina Hankiewicz (Theoretische Physik IV) and Laurens Molenkamp (Experimentelle Physik III) from the University of Würzburg teamed up with the groups of Amir Yacoby and Bertrand Halperin from Harvard University.
Two Superconductors Can Simplify Matters
"Realizing Majorana fermions is one of the most intensely studied topics in condensed matter physics,“ Ewelina Hankiewicz says. According to her, previous realizations have usually focused on one-dimensional systems such as nanowires. She explains that a manipulation of Majorana fermions is very difficult in these setups. It would therefore require significant efforts to make Majorana fermions in these setups eventually applicable for quantum computing.
In order to avoid some of these difficulties, the researchers have studied Majorana fermions in a two-dimensional system with strong spin-orbit coupling. „The system we investigate is a so-called phase-controlled Josephson junction, that is, two superconductors that are separated by a normal region,“ Laurens Molenkamp explains. The superconducting phase difference between the two superconductors provides an additional knob, which makes an intricate fine-tuning of the other system parameters at least partially unnecessary.
Important Step Towards an Improved Control
In the material studied, a mercury telluride quantum well coupled to superconducting thin-film aluminium, the physicists observed for the first time a topological phase transition which implies the appearance of Majorana fermions in phase-controlled Josephson junctions. The setup realized experimentally here constitutes a versatile platform for the creation, manipulation and control of Majorana fermions, which offers several advantages compared to previous one-dimensional platforms. According to Hankiewicz, „this is an important step towards an improved control of Majorana fermions.“ The proof of concept of a topological superconductor based on a two-dimensional Josephson junction opens up new possibilities for the research on Majorana fermions in condensed matter physics. In particular, several constraints of previous realizations of Majorana fermions can be avoided.
Potential Revolution in Computer Technology
At the same time, an improved control of Majorana fermions represents an important step towards topological quantum computers. Theoretically, such computers can be significantly more powerful than conventional computers. They thus have the potential to revolutionize computer technology.
Next, the researchers plan to improve the Josephson junctions and move towards junctions with narrower normal regions. Here, more localized Majorana fermions are expected. They further study additional possibilities of manipulating Majorana fermions, for example, by using other semiconductors.
Suggested Items
IIT Kharagpur Forge Strategic Partnership with Swansea University in Advance Smart Manufacturing and Materials Research
06/18/2025 | IIT KharagpurIn a significant step towards global academic and industrial collaboration, Swansea University and the Indian Institute of Technology Kharagpur (IIT KGP) signed a Memorandum of Understanding (MoU) to deepen research partnerships, promote academic exchange, and foster innovation in advanced manufacturing and materials engineering.
Delta Thailand Reinforces 4IR Leadership and Smart Energy Vision at i-Forum 2025
06/02/2025 | Delta ThailandDelta Thailand reaffirmed its role in advancing industrial automation and sustainable innovation at i-Forum 2025. Held on May 9 by the Faculty of Engineering at Kasetsart University in Bangkok, the forum focused on the theme “Leading the 4IR Revolution: Key Lessons from the WEF Global Lighthouse Network.”
Stephen Winchell Appointed DARPA Director
06/02/2025 | DARPAStephen Winchell was sworn in today as the 24th director of the Defense Advanced Research Projects Agency.
Hon Hai Research Institute Partners with Taiwan Academic Research Institute and KAUST to Participate in CLEO 2025
05/30/2025 | FoxconnThe research team of the Semiconductor Division of Hon Hai Research Institute, together with the research teams of National Taiwan University and King Abdullah University of Science and Technology in Saudi Arabia, has successfully made breakthroughs in multi-wavelength μ -LED technology to achieve high-speed visible light communication and optical interconnection between chips.
SEMI, Purdue University Launch AI and Data Analysis Online Courses
05/22/2025 | SEMISEMI, the industry association serving the global semiconductor and electronics design and manufacturing supply chain, today announced it has partnered with Purdue University to launch an online course series focused on artificial intelligence (AI) and data analysis techniques for the semiconductor industry.