Multiverse Computing Releases New Version of Singularity SDK for Portfolio Optimization with Quantum – High-Performance Computing News Analysis |…

SAN SEBASTIN, SPAIN, August 26, 2022 Quantum computing company Multiverse Computing today introduced the newest version of Singularity Portfolio Optimization (v 1.2). This release includes the Multiverse Hybrid Solver, designed to combines the strength of classical and quantum computing and is specifically suited to portfolio optimization problems.

The Multiverse Hybrid Solver can optimize large portfolios of thousands of assets, finding the portfolio with the highest returns for a given risk and producing the same quality of results as industry-standard solvers in a significantly shorter amount of time.

According to John Malcolm, Financial Engineer overseeing Singularity Portfolio Optimization at Multiverse, this new release represents the next step in the ongoing evolution of the Singularity Portfolio Optimization Excel plug-in.

This latest version of Singularity provides a quantum-based solution to a simple case portfolio optimization which is competitive against classical approaches currently used in industry, said Malcolm. Exciting new developments on our roadmap will extend the applicability of this product to cover more exotic cases of portfolio optimization which classical approaches struggle with.

The tool is designed to help portfolio managers find the optimal balance between risk and reward among the range of assets under consideration, while adhering to minimum and maximum allocations per asset according to the investors preferences.

The Singularity Portfolio Optimization Excel plug-in now offers three solvers:

This particular tool from Multiverse Computing is designed for large financial institutions, such as banks, hedge funds, pension funds and insurance companies. The generic optimization library that the Portfolio Optimization app is built on top of has much broader applicability to any sector where optimization is important, such as energy, manufacturing, health and life sciences, aerospace, and more.

The Singularity Portfolio Optimization plug-in can be used to build a portfolio from scratch or to improve an existing one. It is useful for developing medium to long-term strategies or for more frequent performance improvements. The newest interface is more streamlined and allows the user to save optimization settings for convenience.

With this latest release, Singularity users also can:

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Multiverse Computing Releases New Version of Singularity SDK for Portfolio Optimization with Quantum - High-Performance Computing News Analysis |...