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Updated: Feb 17, 2026

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots
Published on: November 1, 2013
Resonantly driven CNOT gate for electron spins
D M Zajac1, A J Sigillito1, M Russ2
1Department of Physics, Princeton University, Princeton, NJ 08544, USA.
Researchers developed a fast, high-fidelity CNOT gate for electron spins in silicon quantum dots. This breakthrough advances universal quantum computing by enabling robust two-qubit operations essential for complex algorithms.
Area of Science:
- Quantum Computing
- Quantum Information Science
- Solid-State Physics
Background:
- Universal quantum computing relies on high-fidelity single-qubit and two-qubit gates.
- Electron spins in silicon offer a promising platform for qubits, but robust CNOT gates have been hindered by noise.
- Previous efforts faced challenges with nuclear spin dephasing and charge noise, limiting CNOT gate performance.
Purpose of the Study:
- To demonstrate an efficient and high-fidelity CNOT gate for electron spins in silicon.
- To overcome the limitations of nuclear spin dephasing and charge noise in quantum dot architectures.
- To enable the implementation of multi-qubit algorithms in silicon-based quantum processors.
Main Methods:
- Utilized resonantly driven CNOT gate operations on electron spins within a silicon quantum dot device.
- Achieved single-qubit rotations with fidelities exceeding 99%, verified through randomized benchmarking.
- Controlled exchange coupling to implement the quantum CNOT gate with resonant driving in approximately 200 nanoseconds.
Main Results:
- Demonstrated a resonantly driven CNOT gate for electron spins in silicon with high fidelity.
- Achieved single-qubit rotation fidelities greater than 99%.
- Generated a Bell state with 78% fidelity using the implemented CNOT gate, after correcting for state preparation and measurement errors.
Conclusions:
- The developed CNOT gate is an efficient and robust building block for silicon-based quantum computing.
- The quantum dot device architecture facilitates the implementation of multi-qubit algorithms.
- This work represents a significant step towards scalable and fault-tolerant quantum computation in silicon.
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