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A cylindrical rod is rotationally symmetric — after any arbitrary rotation around its axis it always looks the same. If an increasingly large force is applied to it in the longitudinal direction, however, it will eventually buckle and lose its rotational symmetry. Such processes, known as “spontaneous symmetry breaking”, also occur in subtle ways in the microscopic quantum world, where they are responsible for a number of fundamental phenomena such as magnetism and superconductivity. A team of researchers led by ETH professor Tilman Esslinger and Senior Scientist Tobias Donner at the Institute for Quantum Electronics has now studied the consequences of spontaneous symmetry breaking in detail using a quantum simulator. The results of their research have recently been published in the scientific journal Science.

Phase transitions caused by symmetry breaking

In their new work, Esslinger and his collaborators took a particular interest in — physical processes, that is, in which the properties of a material change drastically, such as the transition of a material from solid to liquid or the spontaneous magnetization of a solid. In a particular type of phase transition that is caused by , so-called Higgs and Goldstone modes appear. Those modes describe how the particles in a material react collectively to a perturbation from the outside. “Such collective excitations have only been detected indirectly so far,” explains Julian Léonard, who obtained his doctorate in Esslinger’s laboratory now works as a post-doc at Harvard University, “but now we have succeeded in directly observing the character of those modes, which is dictated by symmetry.”

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Practical quantum computing has been big news this year, with significant advances being made on theoretical and technical frontiers.

But one big stumbling block has remained – melding the delicate quantum landscape with the more familiar digital one. This new microprocessor design just might be the solution we need.

Researchers from the University of New South Wales (UNSW) have come up with a new kind of architecture that uses standard semiconductors common to modern processors to perform quantum calculations.

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https://youtube.com/watch?v=doNNClTTYwE

So you want to learn how to program a quantum computer. Now, there’s a toolkit for that.

Microsoft is releasing a free preview version of its Quantum Development Kit, which includes the Q# programming language, a quantum computing simulator and other resources for people who want to start writing applications for a quantum computer. The Q# programming language was built from the ground up specifically for quantum computing.

The Quantum Development Kit, which Microsoft first announced at its Ignite conference in September, is designed for developers who are eager to learn how to program on quantum computers whether or not they are experts in the field of quantum physics.

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In 2016, the Nobel Prize in Physics went to three British scientists for their work on superconductors and superfluids, which included the explanation of a rather odd phase of matter.

Now, for the first time, their discovery has a practical application – shrinking an electrical component to a size that will help quantum computers reach a scale that just might make them useful.

In a collaboration with Stanford University in the US, a team of scientists from the University of Sydney and Microsoft have used the newly found phase of matter — topological insulator — in shrinking an electrical component called a circulator 1,000 times smaller.

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Yes.

Physicists in the QUTIS Quantum Biomimetics and Quantum Artificial Life research group at the Department of Physical Chemistry, University of the Basque Country in Spain have harnessed the unprecedented power of the IBM Q Cloud Quantum Computer —recently made available for public use ( IBM makes 20 qubit quantum computing machine available as a cloud service) —to reproduce the hallmark features of Darwinian life and evolution in microscopic quantum systems, proving they can efficiently encode quantum features and biological behaviors that are usually associated with living systems and natural selection.

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Cryptography and radar were technologies that won World War 2. Broken codes let the allies know where major forces were being moved. So the US fleet could choose where to intercept the Japanese Navy for the Battle of Midway. Radar and sonar then provided realtime tracking of the Japanese forces during the battle.

This is a summary of information from a Foreign Policy article by Thomas E. Ricks.

Quantum entanglement, quantum superposition, and quantum tunneling can be applied in new forms of computation, sensing, and cryptography.

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Physicists at MIT and Harvard University have demonstrated a new way to manipulate quantum bits of matter. In a paper published today in the journal Nature, they report using a system of finely tuned lasers to first trap and then tweak the interactions of 51 individual atoms, or quantum bits.

The team’s results represent one of the largest arrays of quantum bits, known as qubits, that scientists have been able to individually control. In the same issue of Nature, a team from the University of Maryland reports a similarly sized system using trapped ions as quantum bits.

In the MIT-Harvard approach, the researchers generated a chain of 51 atoms and programmed them to undergo a quantum phase transition, in which every other atom in the chain was excited. The pattern resembles a state of magnetism known as an antiferromagnet, in which the spin of every other atom or molecule is aligned.

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(Phys.org)—Physicists have experimentally demonstrated quantum entanglement with 10 qubits on a superconducting circuit, surpassing the previous record of nine entangled superconducting qubits. The 10-qubit state is the largest multiqubit entangled state created in any solid-state system and represents a step toward realizing large-scale quantum computing.

Lead researcher Jian-Wei Pan and co-workers at the University of Science and Technology of China, Zhejiang University, Fuzhou University, and the Institute of Physics, China, have published a paper on their results in a recent issue of Physical Review Letters.

In general, one of the biggest challenges to scaling up multiqubit entanglement is addressing the catastrophic effects of decoherence. One strategy is to use superconducting circuits, which operate at very cold temperatures and consequently have longer coherence times.

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