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Related Experiment Video

Updated: Jun 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Quantum computing with defects.

J R Weber¹, W F Koehl, J B Varley

¹Center for Spintronics and Quantum Computation, University of California, Santa Barbara, CA 93106, USA.

Proceedings of the National Academy of Sciences of the United States of America

|April 21, 2010

Summary

This summary is machine-generated.

Researchers identified criteria for finding new solid-state qubits, like the nitrogen-vacancy (NV) center in diamond, crucial for developing robust quantum computers. This systematic approach aids in discovering novel quantum information systems.

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Last Updated: Jun 13, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Quantum Information Science
Solid-State Physics
Materials Science

Background:

Quantum computing relies on qubits, the fundamental units of quantum information.
Solid-state defects, such as the nitrogen-vacancy (NV) center in diamond, show promise as robust qubits due to their room-temperature operational capabilities.
The NV(-) center in diamond exhibits high fidelity in initializing, manipulating, and measuring quantum states at room temperature.

Purpose of the Study:

To systematically identify and characterize deep center defects in solids with quantum-mechanical properties suitable for qubits.
To establish physical criteria for selecting promising qubit candidates and their host materials.
To guide the intelligent selection of defect systems for quantum computing applications using electronic structure theory.

Main Methods:

Development of a comprehensive list of physical criteria for potential qubit defects and their host materials.
Application of electronic structure theory to analyze and compare candidate defect systems.
Comparative analysis of the NV(-) center in diamond and deep centers in 4H silicon carbide (SiC).

Main Results:

A systematic methodology for identifying solid-state qubit candidates based on defined physical criteria.
Electronic structure calculations provide insights into the quantum-mechanical properties of deep centers.
Demonstration of the NV(-) center's properties and comparison with defects in 4H SiC, validating the proposed criteria.

Conclusions:

The proposed physical criteria, combined with electronic structure theory, offer an effective strategy for discovering new qubit systems.
This approach facilitates the intelligent screening of potential solid-state qubits beyond the NV(-) center.
The findings are applicable to other tetrahedrally coordinated semiconductors, broadening the search for quantum computing materials.