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Updated: Aug 27, 2025

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Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
Published on: June 3, 2015
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Universal control of a six-qubit quantum processor in silicon.
Stephan G J Philips1, Mateusz T Mądzik1, Sergey V Amitonov1
1QuTech and the Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands.
Nature
|September 28, 2022
Summary
Researchers developed a six-qubit quantum processor using semiconductor quantum dots, achieving high fidelity for quantum operations. This breakthrough advances the development of scalable quantum computers.
Area of Science:
- Quantum Computing
- Semiconductor Physics
- Quantum Information Science
Background:
- Scalable quantum computers require numerous qubits with high operational fidelity.
- Current quantum dot systems typically involve 1-4 qubits, optimizing specific operations.
- Achieving both high qubit count and fidelity remains a significant challenge.
Purpose of the Study:
- To design, fabricate, and operate a six-qubit processor.
- To achieve respectable fidelities for universal quantum operations, state preparation, and measurement.
- To overcome the conflict between large qubit counts and high fidelity.
Main Methods:
- Utilized semiconductor quantum dots as qubits.
- Employed careful Hamiltonian engineering for precise control.
- Implemented a high level of abstraction for quantum circuit programming.
- Developed efficient background calibration techniques.
- Integrated initialization by measurement with real-time feedback and quantum-non-demolition measurements for state preparation.
Main Results:
- Successfully operated a six-qubit processor.
- Achieved respectable fidelities for universal operations, state preparation, and measurement.
- Demonstrated simultaneous high qubit count and operational fidelity.
Conclusions:
- This work represents a major step towards large-scale quantum computing.
- The developed processor enables testing of more complex quantum protocols.
- Advances in qubit control and calibration are crucial for scaling quantum systems.
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