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Silicon-Qubit-Based Quantum Computing vs Topological Quantum Computing

September 28, 2021

Silicon-Qubit-Based Quantum Computing vs Topological Quantum Computing

Quantum computing has made a great leap in the past few decades. In the world of quantum computing, new technologies and architectures are evolving continuously. In the race of the best architecture, Silicon-Qubit-based Quantum Computing and Topological Quantum Computing have become the center of attention. Both these architectures are designed to solve complex problems much faster than classical computing. The question is which one is better? Let's Burst some fables of these quantum computing architectures and compare them head-to-head.

What is Silicon-Qubit-Based Quantum Computing?

Silicon qubits are built using semiconductor manufacturing technology, which enables compatibility with the existing integrated circuit technology. Silicon-Qubit-Based Quantum Computing uses ion trap technology as one of its main implementation methods. This implementation method receives information through photons by manipulating ions trapped in an electromagnetic field.

What is Topological Quantum Computing?

The Topological Quantum computing is based on anyons which are not yet discovered fermions or bosons particles. Anyons help in solving some problems that are considered impossible to solve in the traditional architecture. They are more stable than qubits as their quantum state is independent of changes in the environment.

Comparison:

Quantum Error Correction:

For Quantum Error Correction, Topological Quantum Computing is considered more stable than Silicon-Qubit-Based Quantum Computing. The implementation of anyons in Topological Quantum Computing can overcome errors to a certain extent, whereas Silicon-Qubit-Based Quantum Computing is prone to errors. However, the development of error correction codes for Silicon-Qubit-Based Quantum Computing allows correcting single and double qubit errors.

Qubits and anyons:

Silicon-Qubit-Based Quantum Computing has a standard model of qubits that enables compatibility with the existing integrated circuit technology, whereas Topological Quantum Computing uses anyons that are not yet discovered fermions or bosons particles. Thus, it is difficult to establish a standardized or scalable model of anyons for implementation.

Scalability:

Silicon-Qubit-Based Quantum Computing is considered more scalable than Topological Quantum Computing as it follows well-established semiconductor manufacturing technology, whereas Topological Quantum Computing is still in the developmental phase and requires more research for scalability.

Conclusion:

Both Silicon-Qubit-Based Quantum Computing and Topological Quantum Computing have their pros and cons. But, considering the development of these architectures, Silicon-Qubit-Based Quantum Computing is considered more stable and scalable. However, Topological Quantum Computing can overcome some problems that are considered impossible to solve in the traditional architecture.

It is yet to see which architecture will win the race; meanwhile, let the quantum chips decide.

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