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Published on: August 2, 2019
Combating quasiparticle poisoning with multiple Majorana fermions in a periodically-driven quantum wire
Raditya Weda Bomantara1,2, Jiangbin Gong1
1Department of Physics, National University of Singapore, 117543, Singapore.
Periodic driving can generate multiple Majorana fermions, enabling active quantum error correction for Majorana-based quantum computing. This approach addresses quasiparticle poisoning, a key challenge limiting computational time.
Area of Science:
- Quantum Computing
- Condensed Matter Physics
- Quantum Information Science
Background:
- Quasiparticle poisoning is a major obstacle in Majorana-based quantum computing, reducing computational time by compromising qubit isolation.
- Existing quantum systems require complete isolation from the environment to maintain qubit coherence, which is difficult to achieve.
Purpose of the Study:
- To propose a method for generating multiple Majorana fermions using periodic driving.
- To introduce a quantum error correction protocol to combat quasiparticle poisoning.
- To demonstrate the feasibility of this protocol using existing experimental setups.
Main Methods:
- Utilizing periodic driving to create multiple Majorana fermions at the ends of a quantum wire.
- Developing a stabilizer code protocol for detecting and correcting single quasiparticle poisoning events.
- Measuring stabilizer operators via Majorana parity-dependent four-terminal conductance.
Main Results:
- Periodic driving successfully generates multiple Majorana fermions, offering resources for active error correction.
- A novel stabilizer code can effectively detect and correct single quasiparticle poisoning events.
- The proposed protocol is compatible with current proximitized semiconducting nanowire platforms.
Conclusions:
- Periodic driving offers a viable strategy to overcome quasiparticle poisoning in Majorana quantum computing.
- The developed error correction protocol provides a practical solution for enhancing computational time.
- This work paves the way for more robust and scalable Majorana-based quantum computers.
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