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Neutral atom7/30/2023 ![]() In this way, machines such as Aquila will be able to support researchers to more efficiently identify the best samples to press on with in trials. Through QuEra’s new encoding method, optimized protein design becomes a possibility. For example, identifying the most promising candidate components for new pharmaceuticals at an early stage has long been an arduous task. This additional functionality allows for applications in fields such as logistics scheduling and pharmaceuticals. These include maximum independent sets on graphs with arbitrary connectivity, and quadratic unconstrained binary optimization (QUBO) problems with arbitrary or restricted connectivity. Now, new classes of optimization problems can be solved by neutral-atom machines. The paper’s findings significantly expand the class of problems that can be addressed with Rydberg atom arrays by overcoming the limitations to the aforementioned geometric graphs. For instance, Rydberg atom arrays naturally allow solving for maximum independent set (MIS) problems, but native encodings are restricted to so-called unit-disk graphs. Specifically, the native connectivity of the qubits for a given platform often restricts the class of problems that can be addressed. However, there can be limitations to this which are often set by particular hardware restrictions. Programmable quantum systems, such as the kind QuEra provides, offer unique possibilities to test the performance of various quantum optimization algorithms. “This opens the door to working with more corporate partners who may have needs in logistics, from transport and retail to robotics and other high-tech sectors, and we are very excited about cultivating those opportunities.” ![]() It helps bring us closer to our objectives, and marks an important milestone for the industry as well” said Alex Keesling, CEO at QuEra Computing. “There is no question that today’s news helps QuEra deliver value to more partners, sooner. Lukin, Sheng-Tao Wang, and Hannes Pichler. The findings in the paper “Quantum optimization with arbitrary connectivity using Rydberg atom arrays” were made public today in PRX Quantum and are the work of QuEra researchers and collaborators from Harvard and Innsbruck Universities: Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. QuEra Computing, maker of the world’s first and only publicly accessible neutral-atom quantum computer – Aquila, recently announced that its research team has uncovered a method to perform a wider set of optimization calculations than previously known to be possible using neutral-atom machines. This breakthrough, published in PRX Quantum, overcomes hardware limitations, enabling solutions to more complex problems, thus broadening applications in industries like logistics and pharmaceuticals. ![]() QuEra Computing and university researchers have developed a method to expand the optimization calculations possible with neutral-atom quantum computers. The additional functionality opens up applications in industries like logistics and pharmaceuticals, aiding in efficient logistics scheduling and optimized protein design, which can expedite drug development and potentially increase revenue for pharmaceutical companies.Įncoding breakthrough allows for solving wider set of applications using neutral- atom quantum computers. The findings overcome the native connectivity limitations of the qubits in Rydberg atom arrays, enabling them to solve more complex optimization problems, including maximum independent sets on graphs with arbitrary connectivity and quadratic unconstrained binary optimization (QUBO) problems. Having eight 3d electrons and two 4s electrons is much less energetically stable than ten 3d electrons and no 4s electrons.QuEra Computing, creator of the world’s first neutral-atom quantum computer named Aquila, in collaboration with researchers from Harvard and Innsbruck Universities, has revealed a novel method for performing a broader range of optimization calculations on neutral-atom machines. When d-block elements lose electrons, they lose the highest energy s electrons first, which in the case of zinc are the two 4s electrons. ![]() For the d-block elements, the outermost s-sublevel has higher energy than the d-sublevel, which is contrary to what the Aufbau diagram indicates. Zinc is a d-block element, also known as a transition element. ![]() The #"Zn"^(2+)# ion has lost two electrons, which leaves it with 30 protons and 28 electrons. A neutral atom has equal numbers of protons and electrons, so a neutral atom of zinc would have 30 electrons. The atomic number of zinc is 30, which means that all zinc atoms have 30 protons in their nuclei. ![]()
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