Silicon quantum computing
Spotlight
Recent Insight
- Quantum Hardware Outlook 2020
2019 saw Google finally demonstrate quantum supremacy. Competitors such as IBM reminded us that this was just an opening skirmish in what will be a long campaign. In 2020 we will see paths divide as competing companies and technologies face-up to the quantum chasm blocking the way to large scale ... read more - Brexit and the Quantum Landscape
The arrival of Boris Johnson in Downing Street makes a hard Brexit ending more likely. To understand the impact this will have on the science and innovation landscape and quantum technology in particular, we have to look beyond the immediate disruptions and understand how the thinking of the political right ... read more - Europe’s drive to create wealth from Quantum Technology
The focus of the EU’s €1b Quantum Flagship programme is not basic science, nor is it simply about bringing new technologies to market. The end-goal is driving wealth creation, jobs and societal benefits in Europe. This requires kick-starting the competitive position of European industry in this sector and making Europe ... read more
Latest News
- $3 million CRC-P grant awardedCommonwealth Cooperative Research Centres Projects (CRC-P) funding will support a project to produce isotopically pure silicon – a key enabling material for silicon-based quantum computers. Silicon Quantum Computing Pty Limited (SQC) is pleased to announce receipt of a $3 million CRC-P funding grant awarded to a collaboration led by Silex ... read more
- Silex inks deal to buy GE-Hitachi’s stake in uranium technology companyThis project launch is the result of a product offtake deal announced last week between Silex and Silicon Quantum Computing (SQC), under which the ... read more
- Silex Systems Limited and Silicon Quantum Computing Pty Limited Launch Silicon Enrichment Project for Quantum ComputingSLX and SQC are pleased to announce the launch of a four year project (the Project) to develop a process for the commercial production of high-purity ‘Zero-Spin Silicon’ using a variant of SILEX laser enrichment technology. The Project is supported by advance purchase arrangements for SQC to acquire high-purity ‘Zero-Spin ... read more
- Silex Systems (ASX:SLX) launches silicon project for quantum computersThis isotope separation technology can potentially produce ZS-Si to efficiently supply this material for Silicon Quantum Computing (SQC). The ZS-Si ... read more
- Tech: Silex Systems signs new quantum computing research deal; shares jumpSilex has signed a deal with Silicon Quantum Computing (SQC) — a company formed through investment from Telstra, the Commonwealth Bank, state ... read more
- Turbo, An Improved Rainbow Colormap for Visualization
Posted by Anton Mikhailov, Senior Software Engineer, Daydream False color maps show up in many applications in computer vision and machine learning, from visualizing depth images to more abstract uses, such as image differencing. Colorizing images helps the human visual system pick out detail, estimate quantitative values, and notice patterns ... read more - Imaging Nematic Transitions in Iron-Pnictide Superconductors with a Quantum Gas. (arXiv:1907.12601v1 [cond-mat.str-el])The SQCRAMscope is a recently realized Scanning Quantum CRyogenic Atom Microscope that utilizes an atomic Bose-Einstein condensate to measure magnetic fields emanating from solid-state samples. The quantum sensor does so with unprecedented DC sensitivity at micron resolution from room-to-cryogenic temperatures. An additional advantage of the SQCRAMscope is the preservation of ... read more
- Off-Policy Classification – A New Reinforcement Learning Model Selection Method
Posted by Alex Irpan, Software Engineer, Robotics at GoogleReinforcement learning (RL) is a framework that lets agents learn decision making from experience. One of the many variants of RL is off-policy RL, where an agent is trained using a combination of data collected by other agents (off-policy data) and data ... read more - Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & Retrieval
Posted by Bingyi Cao and Tobias Weyand, Software Engineers, Google AI Last year we released Google-Landmarks, the largest world-wide landmark recognition dataset available at that time. In order to foster advancements in research on instance-level recognition (recognizing specific instances of objects, e.g. distinguishing Niagara Falls from just any waterfall) and ... read more - Looking Back at Google’s Research Efforts in 2018
Posted by Jeff Dean, Senior Fellow and Google AI Lead, on behalf of the entire Google Research Community2018 was an exciting year for Google's research teams, with our work advancing technology in many ways, including fundamental computer science research results and publications, the application of our research to emerging areas ... read more
