The Week in Quantum Computing - September 2nd 2024 - Google breakseven on error correction! - MIT, Rigetti and NSF Funds
quantumpirates.substack.com
MIT researchers have developed a new quantum factoring algorithm that merges the speed of Oded Regev's recent advancements with the memory efficiency of Peter Shor's 1994 algorithm. This innovation, which requires fewer qubits and is more tolerant to quantum noise, could make quantum factoring more practical and significantly impact cryptography by potentially breaking RSA encryption. UC Riverside's Peng Wei and his team have created a two-dimensional interface superconductor by combining trigonal tellurium and gold, which could enhance qubit stability and robustness, addressing current quantum computer error issues. Duke University has received a $30 million grant from The Duke Endowment to support its Elevating Duke Computing program, aimed at advancing research in computing, AI, and machine learning. Researchers Pablo Bermejo and colleagues have shown that Quantum Convolutional Neural Networks (QCNNs) can be efficiently simulated using classical algorithms, suggesting the need for more complex datasets in Quantum Machine Learning. Quantum Machines and Bluefors have extended their OEM agreement to integrate QCage qubit chip holders into Bluefors' cryogenic systems, enhancing research efficiency. Amazon Braket has integrated Rigetti Computing's latest 84-qubit superconducting processor, Ankaa-2, into its platform.Google Quantum AI has achieved significant milestones in quantum error correction, demonstrating two surface code memories operating below the critical error threshold, suggesting the potential for scalable fault-tolerant quantum algorithms.
The Week in Quantum Computing - September 2nd 2024 - Google breakseven on error correction! - MIT, Rigetti and NSF Funds
The Week in Quantum Computing - September 2nd…
The Week in Quantum Computing - September 2nd 2024 - Google breakseven on error correction! - MIT, Rigetti and NSF Funds
MIT researchers have developed a new quantum factoring algorithm that merges the speed of Oded Regev's recent advancements with the memory efficiency of Peter Shor's 1994 algorithm. This innovation, which requires fewer qubits and is more tolerant to quantum noise, could make quantum factoring more practical and significantly impact cryptography by potentially breaking RSA encryption. UC Riverside's Peng Wei and his team have created a two-dimensional interface superconductor by combining trigonal tellurium and gold, which could enhance qubit stability and robustness, addressing current quantum computer error issues. Duke University has received a $30 million grant from The Duke Endowment to support its Elevating Duke Computing program, aimed at advancing research in computing, AI, and machine learning. Researchers Pablo Bermejo and colleagues have shown that Quantum Convolutional Neural Networks (QCNNs) can be efficiently simulated using classical algorithms, suggesting the need for more complex datasets in Quantum Machine Learning. Quantum Machines and Bluefors have extended their OEM agreement to integrate QCage qubit chip holders into Bluefors' cryogenic systems, enhancing research efficiency. Amazon Braket has integrated Rigetti Computing's latest 84-qubit superconducting processor, Ankaa-2, into its platform.Google Quantum AI has achieved significant milestones in quantum error correction, demonstrating two surface code memories operating below the critical error threshold, suggesting the potential for scalable fault-tolerant quantum algorithms.