Why is quantum computing useful for optimization problems?

Your browser is not supported! You are running Internet Explorer 10 or Microsoft Edge 28 or lower versions. That browser is not supported by openHPI any longer, you will not be able to use crucial functionality such as the playback of videos. Please update your Internet Explorer or use a current version of an alternative browser before you continue (we recommend Click here to hide this warning permanently. Optimization is ubiquitous in industry and research. However, many optimization problems of interest are hard to solve. In this lecture Lucia, Julien and Daniel show you how quantum computing approaches combinatorial optimization problems. You will learn how to solve optimization problems on quantum computers and the algorithms to do so. The course is aimed at university level students with a technical background. Prior knowledge of quantum computing is helpful but not necessary. Optimization is ubiquitous in industry and research and has many different applications. Portfolio construction, supply chain, and maximum-cut are all examples of optimization problems. However, many optimization problems of interest are hard to solve. Quantum computing is a growing and novel computing paradigm in which information is processed with the laws of quantum mechanics. Crucially, it has the potential to tackle hard optimization problems. This course is aimed at professionals and students with a technical background who are interested in quantum optimization. In this course you will le...

Don’t Go It Alone. Gurobi and Its Partners Provide the Continuum of Support You Need. While the mathematical optimization field is more than 70 years old, many customers are still learning how to make the most of its capabilities. That’s why, at Gurobi, we have established the Gurobi Alliance partner network—a group of trusted partners who can support you in achieving your optimization goals. Learn More • What is Quantum Computing Optimization? The world is abuzz about quantum computing, and rightfully so. By exploiting the power of subatomic phenomena, quantum computing has the potential to solve some of humanity’s greatest challenges—and companies and governments want to be ready to take full advantage of these capabilities. As a result, organizations are investing heavily in quantum computing. According to Why Is Quantum Useful for Optimization? Quantum computing promises to be the solution to today’s most complex problems, and it’s expected to make an especially transformative impact in simulation problems—such as organic chemistry, materials science, and biochemistry—and security. But optimization is the area where quantum computing is expected to create breakthrough performance first. This is of particular interest to business leaders, in particular, since optimization can solve common business problems—enabling organizations to do more with their limited resources. Some common quantum optimization use cases include: • Factory layout planning • Renewable energy grid ...

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June 13, 2023 by Mena Issler, Quantum computing promises eye-popping progress, and it’s expected to have an economic impact of While we wait, quantum optimizers may be a bridge technology. 1 While quantum optimizers won’t be able to solve as many problems as quantum computers are expected to solve, they are easier to build and computationally superior to classical computers, at least for some optimization problems. In May 2022, a functional quantum optimizer demonstrated its advantage against high-performance classical computers for a set of problems that are inherently difficult for classical computers. 2 Experts believe this quantum optimizer can deliver commercial value in solving optimization problems across industries, in forecasting, and in materials science. 3 The full potential of this quantum optimizer will become clear as more users in academia and industry experiment and apply it to different use cases. In this blog post, we shed light on possible applications and discuss what decision makers can consider in evaluating the potential use of these applications for their organizations. The technology could offer a jump-start on harvesting the rewards of quantum computing. Technical advantages and considerations On the technical side, quantum optimizers can solve problems that are difficult for classical computers. Using a technology based on neutral atoms, quantum optimizers arrange atoms in a grid and excite them to simulate a computational problem. This process c...

1 2 Tiny quantum computer solves real optimization problem Date: December 17, 2020 Source: Chalmers University of Technology Summary: Quantum computers have already managed to surpass ordinary computers in solving certain tasks - unfortunately, totally useless ones. The next milestone is to get them to do useful things. Researchers have now shown that they can solve a small part of a real logistics problem with their small, but well-functioning quantum computer. Share: Quantum computers have already managed to surpass ordinary computers in solving certain tasks -- unfortunately, totally useless ones. The next milestone is to get them to do useful things. Researchers at Chalmers University of Technology, Sweden, have now shown that they can solve a small part of a real logistics problem with their small, but well-functioning quantum computer. Interest in building quantum computers has gained considerable momentum in recent years, and feverish work is underway in many parts of the world. In 2019, Google's research team made a major breakthrough when their quantum computer managed to solve a task far more quickly than the world's best supercomputer. The downside is that the solved task had no practical use whatsoever -- it was chosen because it was judged to be easy to solve for a quantum computer, yet very difficult for a conventional computer. Therefore, an important task is now to find useful, relevant problems that are beyond the reach of ordinary computers, but which a r...

Your browser is not supported! You are running Internet Explorer 10 or Microsoft Edge 28 or lower versions. That browser is not supported by openHPI any longer, you will not be able to use crucial functionality such as the playback of videos. Please update your Internet Explorer or use a current version of an alternative browser before you continue (we recommend Click here to hide this warning permanently. Optimization is ubiquitous in industry and research. However, many optimization problems of interest are hard to solve. In this lecture Lucia, Julien and Daniel show you how quantum computing approaches combinatorial optimization problems. You will learn how to solve optimization problems on quantum computers and the algorithms to do so. The course is aimed at university level students with a technical background. Prior knowledge of quantum computing is helpful but not necessary. Optimization is ubiquitous in industry and research and has many different applications. Portfolio construction, supply chain, and maximum-cut are all examples of optimization problems. However, many optimization problems of interest are hard to solve. Quantum computing is a growing and novel computing paradigm in which information is processed with the laws of quantum mechanics. Crucially, it has the potential to tackle hard optimization problems. This course is aimed at professionals and students with a technical background who are interested in quantum optimization. In this course you will le...

June 13, 2023 by Mena Issler, Quantum computing promises eye-popping progress, and it’s expected to have an economic impact of While we wait, quantum optimizers may be a bridge technology. 1 While quantum optimizers won’t be able to solve as many problems as quantum computers are expected to solve, they are easier to build and computationally superior to classical computers, at least for some optimization problems. In May 2022, a functional quantum optimizer demonstrated its advantage against high-performance classical computers for a set of problems that are inherently difficult for classical computers. 2 Experts believe this quantum optimizer can deliver commercial value in solving optimization problems across industries, in forecasting, and in materials science. 3 The full potential of this quantum optimizer will become clear as more users in academia and industry experiment and apply it to different use cases. In this blog post, we shed light on possible applications and discuss what decision makers can consider in evaluating the potential use of these applications for their organizations. The technology could offer a jump-start on harvesting the rewards of quantum computing. Technical advantages and considerations On the technical side, quantum optimizers can solve problems that are difficult for classical computers. Using a technology based on neutral atoms, quantum optimizers arrange atoms in a grid and excite them to simulate a computational problem. This process c...

• • • Explore all the latest news and information on Physics World • Keep track of the most exciting research breakthroughs and technology innovations • Stay informed about the latest developments that affect scientists in all parts of the world • Take a deeper look at the emerging trends and key issues within the global scientific community • Discover the stories behind the headlines • Enjoy a more personal take on the key events in and around science • Plan the meetings and conferences you want to attend with our comprehensive events calendar • • Meet the people behind the science • Consider your career options with valuable advice and insightful case studies • Find out whether you agree with our expert commentators • Discover the views of leading figures in the scientific community • Find out who’s doing what in industry and academia • • Explore the value of scientific research for industry, the economy and society • Find out how recent scientific breakthroughs are driving business innovation and commercial growth • Learn about novel approaches to educating and inspiring the scientists of the future • Understand how emerging policy changes could affect your work and career • Follow the latest progress at the world’s top scientific experiments • A round-up of the latest innovation from our corporate partners • • Explore special collections that bring together our best content on trending topics • Explore the ways in which today’s world relies on AI, and ponder how this t...

Don’t Go It Alone. Gurobi and Its Partners Provide the Continuum of Support You Need. While the mathematical optimization field is more than 70 years old, many customers are still learning how to make the most of its capabilities. That’s why, at Gurobi, we have established the Gurobi Alliance partner network—a group of trusted partners who can support you in achieving your optimization goals. Learn More • What is Quantum Computing Optimization? The world is abuzz about quantum computing, and rightfully so. By exploiting the power of subatomic phenomena, quantum computing has the potential to solve some of humanity’s greatest challenges—and companies and governments want to be ready to take full advantage of these capabilities. As a result, organizations are investing heavily in quantum computing. According to Why Is Quantum Useful for Optimization? Quantum computing promises to be the solution to today’s most complex problems, and it’s expected to make an especially transformative impact in simulation problems—such as organic chemistry, materials science, and biochemistry—and security. But optimization is the area where quantum computing is expected to create breakthrough performance first. This is of particular interest to business leaders, in particular, since optimization can solve common business problems—enabling organizations to do more with their limited resources. Some common quantum optimization use cases include: • Factory layout planning • Renewable energy grid ...