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Category: quantum physics – Page 773

Superconducting quantum microwave circuits can function as qubits, the building blocks of a future quantum computer. A critical component of these circuits, the Josephson junction, is typically made using aluminium oxide. Researchers in the Quantum Nanoscience department at the Delft University of Technology have now successfully incorporated a graphene Josephson junction into a superconducting microwave circuit. Their work provides new insight into the interaction of superconductivity and graphene and its possibilities as a material for quantum technologies.

The essential building block of a computer is the quantum bit, or . Unlike regular bits, which can either be one or zero, qubits can be one, zero or a superposition of both these states. This last possibility, that bits can be in a superposition of two states at the same time, allows quantum computers to work in ways not possible with classical computers. The implications are profound: Quantum computers will be able to solve problems that will take a regular computer longer than the age of the universe to solve.

There are many ways to create qubits. One of the tried and tested methods is by using superconducting microwave . These circuits can be engineered in such a way that they behave as harmonic oscillators “If we put a charge on one side, it will go through the inductor and oscillate back and forth,” said Professor Gary Steele. “We make our qubits out of the different states of this charge bouncing back and forth.”

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For the first time, an international team of researchers has used a quantum computer to create artificial life—a simulation of living organisms that scientists can use to understand life at the level of whole populations all the way down to cellular interactions.

With the quantum computer, individual living organisms represented at a microscopic level with superconducting qubits were made to “mate,” interact with their environment, and “die” to model some of the major factors that influence evolution.

The new research, published in Scientific Reports on Thursday, is a breakthrough that may eventually help answer the question of whether the origin of life can be explained by quantum mechanics, a theory of physics that describes the universe in terms of the interactions between subatomic particles.

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There, engineers are doing something strange. They’re freezing computer chips to 460 degrees Fahrenheit below zero, colder than deep space, to simulate the quantum structure of the universe.

At such extreme temperatures these remarkable chips, called qubits, enable scientists to peer into the complex, uncertain interaction of particles at the atomic level — an unseen world in which seemingly contradictory results can exist simultaneously, a place where simply observing an interaction can change it. Or wreck it altogether.

“Quantum — it’s something weird,” said Mike Mayberry, Intel’s chief technology officer and general manager of Intel Labs.

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Quantum computing isn’t going to revolutionize AI anytime soon, according to a panel of experts in both fields.

Different worlds: Yoshua Bengio, one of the fathers of deep learning, joined quantum computing experts from IBM and MIT for a panel discussion yesterday. Participants included Peter Shor, the man behind the most famous quantum algorithm. Bengio said he was keen to explore new computer designs, and he peppered his co-panelists with questions about what a quantum computer might be capable of.

Quantum leaps: The panels quantum experts explained that while quantum computers are scaling up, it will be a while—we’re talking years here—before they could do any useful machine learning, partly because a lot of extra qubits will be needed to do the necessary error corrections. To complicate things further, it isn’t very clear what, exactly, quantum computers will be able to do better than their classical counterparts. But both Aram Harrow of MIT and IBM’s Kristian Temme said that early research on quantum machine learning is under way.

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An international team of scientists led by the University of Groningen’s Zernike Institute for Advanced Materials created quantum bits that emit photons that describe their state at wavelengths close to those used by telecom providers. These qubits are based on silicon carbide in which molybdenum impurities create color centers. The results were published in the journal npj Quantum Information on 1 October.

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While the rest of the country has been transfixed by the Brett Kavanagh confirmation drama, the White House was quietly but steadily taking major steps to secure America’s high-tech future.

The first was the release of the National Cybersecurity Strategy last week, which I discussed in a previous column. This week came the National Strategic Overview for Quantum Information Science (QIS), released by a subcommittee of the Committee on Science for the National Science and Technology Council. This document is a big win for Jacob Taylor, the White House Office of Science and Technology Policy’s point man on all things quantum, and a major win for America.

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During last September’s Ignite conference, Microsoft heavily emphasized its quantum computing efforts and launched both its Q# programming language and development kits.

This year, the focus is on other things, and the announcements about quantum are few and far between (and our understanding is that Microsoft, unlike some of its competitors, doesn’t have a working quantum computing prototype yet). It did, however, announce an addition to its Quantum Development Kit that brings a new chemical simulation library to tools for getting started with quantum computing.

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