Quantum engineering

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Quantum engineering is the development of technology that capitalizes on the laws of quantum mechanics. Quantum engineering uses quantum mechanics as a toolbox for the development of quantum technologies, such as quantum sensors or quantum computers.

Contents

There are many devices available which rely on quantum mechanical effects and have revolutionized society through medicine, optical communication, high-speed internet, and high-performance computing, just to mention a few examples. Nowadays, after the first quantum revolution that brought us lasers, MRI imagers and transistors, a second wave of quantum technologies is expected to impact society in a similar way. This second quantum revolution makes use of quantum coherence and capitalizes on the great progress achieved in the last century in understanding and controlling atomic-scale systems. It is expected to help solve many of today’s global challenges and has triggered several initiatives and research programs all over the globe. Quantum mechanical effects are used as a resource in novel technologies with far-reaching applications, including quantum sensors [1] [2] and novel imaging techniques, [3] secure communication (quantum internet) [4] [5] [6] and quantum computing. [7] [8] [9] [10] [11]

Education programs

Quantum engineering is evolving into its own engineering discipline. The quantum industry requires a quantum-literate workforce, a missing resource at the moment. Currently, scientists in the field of quantum technology have mostly either a physics or engineering background and have acquired their ”quantum engineering skills” by experience. A survey of more than twenty companies aimed to understand the scientific, technical, and “soft” skills required of new hires into the quantum industry. Results show that companies often look for people that are familiar with quantum technologies and simultaneously possess excellent hands-on lab skills. [12]

Several technical universities have launched education programs in this domain. For example, ETH Zurich has initiated a Master of Science in Quantum Engineering, a joint venture between the electrical engineering department (D-ITET) and the physics department (D-PHYS), and the University of Waterloo has launched integrated postgraduate engineering programs within the Institute for Quantum Computing. [13] [14] Similar programs are being pursued at Delft University, Technical University of Munich, MIT, CentraleSupélec and other technical universities.

Students are trained in signal and information processing, optoelectronics and photonics, integrated circuits (bipolar, CMOS) and electronic hardware architectures (VLSI, FPGA, ASIC). In addition, they are exposed to emerging applications such as quantum sensing, quantum communication and cryptography and quantum information processing. They learn the principles of quantum simulation and quantum computing, and become familiar with different quantum processing platforms, such as trapped ions, and superconducting circuits. Hands-on laboratory projects help students to develop the technical skills needed for the practical realization of quantum devices, consolidating their education in quantum science and technologies.

See also

Related Research Articles

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arXiv Online digital archive for preprints of scientific papers

arXiv is an open-access repository of electronic preprints and postprints approved for posting after moderation, but not peer review. It consists of scientific papers in the fields of mathematics, physics, astronomy, electrical engineering, computer science, quantitative biology, statistics, mathematical finance and economics, which can be accessed online. In many fields of mathematics and physics, almost all scientific papers are self-archived on the arXiv repository before publication in a peer-reviewed journal. Some publishers also grant permission for authors to archive the peer-reviewed postprint. Begun on August 14, 1991, arXiv.org passed the half-million-article milestone on October 3, 2008, and had hit a million by the end of 2014. As of April 2021, the submission rate is about 16,000 articles per month.

This is a timeline of quantum computing.

Quantum networks form an important element of quantum computing and quantum communication systems. Quantum networks facilitate the transmission of information in the form of quantum bits, also called qubits, between physically separated quantum processors. A quantum processor is a small quantum computer being able to perform quantum logic gates on a certain number of qubits. Quantum networks work in a similar way to classical networks. The main difference is that quantum networking, like quantum computing, is better at solving certain problems, such as modeling quantum systems.

A sonic black hole, sometimes called a dumb hole or acoustic black hole, is a phenomenon in which phonons are unable to escape from a region of a fluid that is flowing more quickly than the local speed of sound. They are called sonic, or acoustic, black holes because these trapped phonons are analogous to light in astrophysical (gravitational) black holes. Physicists are interested in them because they have many properties similar to astrophysical black holes and, in particular, emit a phononic version of Hawking radiation. This Hawking radiation can be spontaneously created by quantum vacuum fluctuations, in close analogy with Hawking radiation from a real black hole. On the other hand, the Hawking radiation can be stimulated in a classical process. The boundary of a sonic black hole, at which the flow speed changes from being greater than the speed of sound to less than the speed of sound, is called the event horizon.

<span class="mw-page-title-main">Quantum technology</span> Emerging technologies built on quantum mechanics

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<span class="mw-page-title-main">Topological insulator</span> State of matter with insulating bulk but conductive boundary

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<span class="mw-page-title-main">Quantum machine learning</span> Interdisciplinary research area at the intersection of quantum physics and machine learning

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<span class="mw-page-title-main">Sycamore processor</span> Supercomputer by Google

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<span class="mw-page-title-main">Tensor network</span> Mathematical wave functions

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In quantum computing, the variational quantum eigensolver (VQE) is a quantum algorithm for quantum chemistry, quantum simulations and optimization problems. It is a hybrid algorithm that uses both classical computers and quantum computers to find the ground state of a given physical system. Given a guess or ansatz, the quantum processor calculates the expectation value of the system with respect to an observable, often the Hamiltonian, and a classical optimizer is used to improve the guess. The algorithm is based on variational method of quantum mechanics.

This glossary of quantum computing is a list of definitions of terms and concepts used in quantum computing, its sub-disciplines, and related fields.

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