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Google Quantum AI Takes Step Towards climbable Quantum Error Correction

Google Quantum AI has taken a significant step forward in the development of scalable quantum error correction, according to a new study published by the company. Quantum computers are prone to errors due to noise from the underlying physical system, which must be reduced for quantum computers to achieve their potential. One way to address this is through error-correcting codes, which use an ensemble of physical qubits to form a logical qubit that can detect and correct errors without affecting information. However, scaling up such systems means manipulating more qubits, which can introduce more logical errors. To address this challenge, the Google team demonstrated that a surface code logical qubit can lower error rates as the system size increases. They created a superconducting quantum processor with 72 qubits and tested it with two different surface codes: a distance-5 logical qubit on 49 physical qubits and smaller ones called distance-3 logical qubits on 17 physical qubits. The l...

A New Researcher Develop an Economic Fabrication Technology for Carbon Nanotube-Based Composite Carbon Fibers

Carbon fibers are known for their exceptional mechanical properties, including high strength, stiffness, and resistance to deformation, making them highly sought after in various industries. Carbon nanotubes are known to further enhance these properties, but commercializing them has been challenging due to the high cost of production. However, a recent study proposes a solution to this problem by developing an economic fabrication technology for carbon nanotube-based composite carbon fibers. The researchers focused on the use of a liquid crystalline wet-spinning process to produce polymer-carbon nanotube composite fibers that are highly oriented and possess superior modulus, strength, and electrical conductivity. The solvent used in this process is camphorsulfonic acid (CSA), which has extremely high acidity and readily protonates aromatic hydrocarbons. This allowed for the hybridization of CNTs and the polymer without the need for physical or chemical treatment. High-performance ...

How to install siesta(DFT code) in ubuntu?

Required libraries to download Siesta-4.1-b4.tar (Try to download upgrade version) with some package ● lapack-3.8.0.tar.gz ● libgridxc-0.8.4.tar ● Xmlf90-1.5.4.tar.gz ● hdf5-1.8.21.tar.bz2 ● hdf5-1.10.4.tar.gz ● netcdf-c-4.6.1.tar.gz ● netcdf-c-4.6.2.tar.gz ● netcdf-fortran-4.4.4.tar.gz ● zlib-1.2.11.tar.gz Steps to install siesta ●First extract the siesta tar file. ●Then through the terminal go to Obj of siesta folder. (i.e$obj ) ● $sh ../Src/obj_setup.sh ● Type $cp gfortran.make arch.make ● Type ls, then we saw arch.make file inside obj folder of siesta. ● Finally, type $make Then we got siesta executable inside Obj folder which is ready to run. https://youtu.be/EI1vuPfeLPs

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