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A team of researchers at Universität Stuttgart has developed an ion-optics-based quantum microscope that is capable of creating images of individual atoms. In their paper published in the journal Physical Review Letters, the group explains how they built their microscope and how well it worked when tested.

Even in the world of the smallest particles with their own special rules, things cannot proceed infinitely fast. Physicists at the University of Bonn have now shown what the speed limit is for complex quantum operations. The study also involved scientists from MIT, the universities of Hamburg, Cologne and Padua, and the Jülich Research Center. The results are important for the realization of quantum computers, among other things. They are published in the prestigious journal Physical Review X, and covered by the Physics Magazine of the American Physical Society.

8 oct 2020.


MIT researchers using superconducting quantum bits connected to a microwave transmission line have shown how the qubits can generate on demand the photons, or particles of light, necessary for communication between quantum processors.

10 November 2020


Qudit is a multi-level computational unit alternative to the conventional 2-level qubit. Compared to qubit, qudit provides a larger state space to store and process information, and thus can provide reduction of the circuit complexity, simplification of the experimental setup and enhancement of the algorithm efficiency. This review provides an overview of qudit-based quantum computing covering a variety of topics ranging from circuit building, algorithm design, to experimental methods. We first discuss the qudit gate universality and a variety of qudit gates including the pi/8 gate, the SWAP gate, and the multi-level controlled-gate. We then present the qudit version of several representative quantum algorithms including the Deutsch-Jozsa algorithm, the quantum Fourier transform, and the phase estimation algorithm.

Sandia Labs pioneers Just Another Quantum Assembly Language (.


Quantum computing arguably isn’t quite full-fledged computing till there’s quantum software as well as hardware. One open-source quantum computer project at Sandia National Laboratories in Albuquerque, New Mexico aims to address this disparity with a custom-made assembly language for quantum computation.

When enough anomalies accumulate over time, paradigms change. We may be close to that inflection point right now. At this juncture of technoscientific progress, the boldest of us may admit that we’re overdue for the next post-materialist paradigm: Conventional scientific method is already bankrupt and needs to be supplanted by AI-powered quantum neo-empiricism, computational thinking and the cybernetic approach to reality.

#materialism #physicalism #philosophy #scientificmethod #evolutionarycybernetics


“The only reality is mind and observations but observations are not of things. To see the Universe as it really is, we must abandon our…

The Colorado Economic Development Commission normally doesn’t throw its weight behind unproven startups, but it did so on Thursday, approving $2.9 million in state job growth incentive tax credits to try and land a manufacturing plant that will produce hardware for quantum computers.

“Given the broad applications and catalytic benefits that this company’s technology could bring, retaining this company would help position Colorado as an industry leader in next-generation and quantum computing,” Michelle Hadwiger, the deputy director of the Colorado Office of Economic Development & International Trade, told commissioners.

Project Quantum, the codename for the Denver-based startup, is looking to create up to 726 new full-time jobs in the state. Most of the positions would staff a new facility making components for quantum computers, an emerging technology expected to increase computing power and speed exponentially and transform the global economy as well as society as a whole.

D-Wave Systems Inc. today published a milestone study in collaboration with scientists at Google, demonstrating a computational performance advantage, increasing with both simulation size and problem hardness, to over 3 million times that of corresponding classical methods. Notably, this work was achieved on a practical application with real-world implications, simulating the topological phenomena behind the 2016 Nobel Prize in Physics. This performance advantage, exhibited in a complex quantum simulation of materials, is a meaningful step in the journey toward applications advantage in quantum computing.