Quantum generative adversarial networks with multiple superconducting qubits
npj Quantum Information, Published online: 01 December 2021; doi:10.1038/s41534-021-00503-1 Quantum generative adversarial networks with multiple superconducting qubits
npj Quantum Information, Published online: 01 December 2021; doi:10.1038/s41534-021-00503-1 Quantum generative adversarial networks with multiple superconducting qubits
Current approaches to create superconducting qubits for quantum computers yield chips that are substantially larger than those found in classical computers. To shrink things down, researchers have taken advantage of atomically thin, 2D materials to […]
Researchers have created and observed a new phase of matter, popularly known as a time crystal. Read More Quantum Computers News — ScienceDaily
The quantum world and our everyday world are very different places. Physicists now investigate how the act of measuring a quantum particle transforms it into an everyday object. Read More Quantum Computers News — ScienceDaily
Research into superfast quantum computers is now well advanced, but it is not yet possible to connect the individual processors. An international research team has now shown a way to scale quantum computers using nanophotonic […]
Philippe FaistQuantifying quantum states’ complexity is a key problem in various subfields of science, from quantum computing to black-hole physics.
Dominik Wild (MPQ)The preparation of macroscopic non-Gaussian states has been a long-standing challenge in quantum optics.
npj Quantum Information, Published online: 26 November 2021; doi:10.1038/s41534-021-00499-8 Optimal verification of the Bell state and Greenberger–Horne–Zeilinger states in untrusted quantum networks
Daniel Malz (MPQ):A few days ago a paper by Curt von Keyserlingk, Frank Pollmann and Tibor Rakovszky appeared in which they give strong evidence that the time evolution of few-body correlators can be calculated efficiently […]
Holography is a powerful technique of photography of a light field without a lens for 3D imaging and display. Now, scientists at the Max-Planck Institute of Quantum Optics move holography forward by implementing it with […]
Adrián Franco Rubio (MPQ): After giving an introduction to the formalism of stabilizer and subsystem quantum error correcting codes, I will talk about the recent paper arXiv:2107.02194, where Hastings and Haah present a generalization they […]
Miguel Bello (MPQ)First, I will review some results regarding vacancy-like modes in systems of quantum emitters coupled to structured baths.
Alvaro Alhambra (MPQ)I will describe some upcoming results (mostly numerical, with ED) on the relaxation timescales of many-body systems
npj Quantum Information, Published online: 18 November 2021; doi:10.1038/s41534-021-00471-6 Quantum mechanical rotation of a photon polarization by Earth’s gravitational field
Physicists have created a theory describing how non-reciprocity can be induced at the quantum level, paving the way for non-reciprocal transport in the next generation of nanotechnology. Read More Quantum Computers News — ScienceDaily
npj Quantum Information, Published online: 17 November 2021; doi:10.1038/s41534-021-00500-4 Fast spin-valley-based quantum gates in Si with micromagnets
Researchers have used a nanoantenna to focus light onto a single semiconductor nanobox. This approach will enhance the utility of quantum repeater technology currently under development for advanced communication and data storage. Such technology is […]
Jiri Guth-Jarkovsky (MPQ):QSVT is a framework for constructing quantum circuits
Miguel Bello (MPQ):Hamiltonians that contain products of more than two operators give rise to nonlinear equations of motions.
Researchers performed the first-ever simulation of baryons — fundamental quantum particles — on a quantum computer. Read More Quantum Computers News — ScienceDaily
The Maximilians Medal for Sciences and Arts is the highest distinction in Bavaria for outstanding contributions in these two disciplines. Immanuel Bloch receives the medal for his pioneering works in quantum physics with which he has […]
Patrick Emonts (MPQ)Monte Carlo sampling is commonly used in machine learning, for example to sample restricted Boltzmann machines.
npj Quantum Information, Published online: 11 November 2021; doi:10.1038/s41534-021-00498-9 Machine learning of high dimensional data on a noisy quantum processor
How monitoring quantum Otto engine affects its performance. Minimizing the measurement effects preserves coherence across engine cycles and improves the power output and reliability. Read More Quantum Computers News — ScienceDaily