Qubit Transistors Reach Error Correction Benchmark
Australian researchers demonstrated 99% accuracy in two-qubit gates using metal-oxide-semiconductor qubits, compatible with CMOS technology, aiming to scale to thousands of qubits for practical quantum computing solutions.
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A research team in Australia has achieved a significant milestone in quantum computing by demonstrating that their metal-oxide-semiconductor (MOS)-based qubits can perform two-qubit gates with 99% accuracy, meeting the error correction threshold necessary for large-scale quantum computers. This advancement, a collaboration between the University of New South Wales and the startup Diraq, utilizes qubits that resemble traditional transistors and can be manufactured using existing complementary metal-oxide-semiconductor (CMOS) technology. This compatibility allows for the potential scaling of qubits on a single chip, which is crucial for the development of practical quantum computers. The researchers identified sources of noise affecting qubit performance, such as isotopic impurities in the silicon layer and variations in electric fields, and are working on solutions to mitigate these issues. The team aims to scale their technology to thousands of qubits, facilitated by a partnership with Global Foundries, which will enable the integration of classical transistor circuitry with quantum devices. This approach is seen as a promising direction for the future of quantum computing, as it aligns more closely with conventional semiconductor manufacturing processes.
- Australian researchers achieved 99% accuracy in two-qubit gates, meeting the error correction threshold.
- The qubits are compatible with existing CMOS technology, allowing for easier scaling.
- Noise sources affecting qubit performance have been identified and are being addressed.
- The team plans to scale their technology to thousands of qubits through a partnership with Global Foundries.
- This advancement represents a significant step towards practical quantum computing solutions.
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5 commentsAll existing QC approaches have two fundamental limitations: error rate and coherence time. You can decrease error rate through error correction, but that comes at the cost of adding gates and/or storage to replicate the QC state, but that causes a decrease in coherence time. I have not seen even a theoretical framework allowing both to be increased simultaneously.
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