The 1QBit Guide to Advanced and Quantum Computing
Get insights on trends and predictions in advanced and quantum computing, and find out how to get quantum ready.
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Many problems in finance take the form of mathematical optimization problems. As an example from portfolio optimization, an asset manager may be tasked with allocating funds across a pool of assets while maximizing the return at a given level of risk. However,...
Quantum computing research and experimentation continues to make progress towards addressing complex computational problems. These include modelling systems in nature as they relate to chemistry and physics. Beyond this, quantum computing research has also shown promise in tackling problems in logistics and finance.
The Federal Reserve Bank of Kansas City’s 44th annual economic policy symposium (i.e., the Jackson Hole Economic Symposium) was held online this year on August 27th and 28th. Its potential effect on gold prices has been widely covered in the news, with a series of policy changes announced going forward. It is expected to contribute to further US dollar depreciation. Historically, financial instruments related to the US dollar have price moves around the event.
The human eye can perceive patterns and meaning in data based on its visual appearance, but it becomes difficult to perceive such patterns when the data is presented in a dense and unorganized manner. The Big Data Visualization Toolkit (BiDViT) enables the study and display of enormous datasets by following the approach described above, that is, reducing them into smaller, yet still sufficiently large, datasets that accurately represent the original dataset, allowing the resulting clustered set to be clearly viewed and analyzed by the human eye.
The consensus among many quantum computing practitioners is that chemistry, specifically quantum chemistry, has great potential to be the first field to benefit from quantum computing, as the simulation of molecules can be more efficiently handled using quantum computing methods. This could accelerate materials innovation for large-scale industrial applications, such as catalyst design to facilitate chemical synthesis for more-efficient…