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#Atoms

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Atom arrays

Scientists have developed ways of trapping atoms and arranging them in space using laser beams (such as “optical tweezers” and “optical lattices”). What can one do using these tools? One possibility is arranging the atoms in a regular array.

Why people find it interesting? It was found that such systems have properties much different than clouds of atoms randomly flying around. The lattice structure changes how the atoms emit and absorb light. This is because light emitted from different atoms can interfere, and a regular structure of array works like a diffraction grating. This happens especially if the distance between atoms is smaller than one wavelength.

For example, a 1D chain of atoms in a certain state emits light only on its ends. And a 2D array can act as a perfect mirror (for certain wavelength), even though it is only one atom thin.

It was theoretically shown that these effects can be used to boost the efficiency of optical quantum devices such as memories and gates, which may be used in the future for a “quantum internet” and quantum computers.

#Physics #Science #Quantum #QuantumOptics #atoms #CondensedMatter #CondMat

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Intel Enters the Quantum Computing Horse Race With 12-Qubit Chip

has built a called that it will offer to research labs hoping to make the revolutionary computing technology practical.

The Tunnel Falls processor, announced Thursday, houses 12 qubits, the fundamental quantum data processing elements.

It's a major step in the chipmaker's attempt to develop quantum computing hardware it hopes will eventually surpass rivals.

One notable feature of quantum computing is the tremendous variety of approaches. Intel is using electrons, storing data via quantum mechanical , that's analogous to the two directions a top can spin.

and are using small electrical circuits of materials.

and manipulate stored in a .

Other approaches involve atoms and even .

cnet.com/tech/computing/intel-

CNETIntel Enters the Quantum Computing Horse Race With 12-Qubit ChipBut before quantum physics revolutionizes computing, Intel and rivals will have to learn how to make vastly more powerful machines.