A universal quantum computer is defined as a machine that is able to adopt an arbitrary quantum state from an arbitrary input quantum state.
The development of a quantum computer is currently in its infancy, systems consist of a few to a few tens of quantum bits qubits. Main challenges in further development are to make the quantum computer scalable and to make it fault-tolerant. This means that it will be able to perform universal quantum operations using unreliable components.
In the last two decades of the previous century more and more quantum mechanical concepts were brought into information processing, allowing the development of so-called quantum algorithms. In many ways this algorithm can be seen as a starting signal. Since then the efforts in learning about what is required to build a quantum computer increased manifold. Parallel to the theoretical efforts also ground-breaking strides were taken on the experimental side. Physicists developed methods to detect and controllably manipulate individual quantum objects such as photons, atoms or electrons.
These quantum objects can obviously be used as physical implementations of qubits. There are still many challenges in quantum computers and even more opportunities to explore. Scientists and engineers from QuTech in Delft, the Netherlands, are working hard to make quantum computing a reality. Significant progress is being made. Unlike the quantum computer prototype from Dilbert, our platform is ready to use.
The platform consists of an extensive knowledge base, two actual quantum hardware chips, a quantum computer emulator and the editor to run your very real and very own quantum algorithms. Quantum Inspire is here, at your fingertips, to experiment, explore and enjoy! Superposition and entanglement What is a quantum algorithm? This review aims to provide an accessible introduction to quantum computing with a focus on applications in statistics and data analysis. We start with an introduction to the basic concepts necessary to understand quantum computing and the differences between quantum and classical computing.
We describe the core quantum subroutines that serve as the building blocks of quantum algorithms. We… Expand. View PDF on arXiv. Save to Library Save. Create Alert Alert. Share This Paper. Tables from this paper. Adiabatic Quantum State Generation. Mathematics, Computer Science. SIAM J. View 1 excerpt, references background. Power of data in quantum machine learning. Computer Science, Medicine. Nature communications. Highly Influential.
Computer Science, Physics. View 3 excerpts, references background and methods.
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