Editorial Feature

Quantum Algorithms in Multiverse Computing's 'Singularity' Software

The application of quantum-based solutions can effectively tackle real-world complex problems, such as defect detection. Singularity, the flagship product of Multiverse Computing, allows professionals across different industries to leverage quantum computing using common software tools.

multiverse computing, quantum computing, quantum algorithms

Image Credit: sdecoret/Shutterstock.com

Singularity is a software-as-a-service (SaaS) platform that contains quantum-inspired and quantum algorithms developed and patented through proof-of-concept trials performed by the company for their services and industrial clients. These patented quantum and quantum-inspired algorithms can solve the most difficult industrial problems and are implemented as SaaS in the Singularity software development kit (SDK).

Although advanced quantum techniques drive the performance of the Singularity SDK, professionals lacking specialized quantum computing expertise or knowledge can use the platform with ease due to its intuitive and simple plug-ins and front-ends for the common personal computer (PC)-based applications. For instance, users can optimize an investment portfolio by simply connecting the Singularity plug-in to their Microsoft Excel spreadsheet.

Initially, the platform pre-processes the data collected from the user and determines the optimal quantum computer and algorithm to deliver immediate business value. Subsequently, the platform sends the data to the quantum computer to deploy the proprietary algorithms of Multiverse Computing. Finally, the queues are managed by Singularity to retrieve and send the results back to the user.

About Multiverse Computing

Multiverse Computing is a leading value-based quantum computing solution provider in the world. The deep tech company based in Spain develops quantum software to solve complex practical problems. Founded in 2019 by leading finance and quantum computing experts, the company's expertise in quantum-inspired and quantum algorithms enables it to realize the best results from the current quantum devices and classical high-performance computers.

The company's vision is to make powerful quantum computing algorithms accessible to everyone. Multiverse Computing has created solutions for companies in cyber-attack detection, logistics, space communication, energy, advanced manufacturing verticals, life sciences, mobility, and finance verticals. The company currently has fully-owned subsidiaries in Munich, Paris, and Toronto.

Solving Complex Real-World Challenges Using Singularity

Singularity can provide solutions to optimization, stochastic, system simulation, and machine learning (ML) challenges across several verticals, including chemistry, defense, cybersecurity, aerospace, engineering, health and life sciences, mobility, manufacturing, and energy. The toolkit can be effectively used to explore quantum and quantum-inspired solutions to typical analytical problems in the financial industry.

For instance, Multiverse Computing has introduced a quantum-based Fair Price solution for investment portfolios. This new addition to the Singularity platform that runs on IonQ quantum hardware with PC software tools can deliver higher accuracy in fair price calculations for financial institutions compared to the existing classical computing methods.

Financial institutions calculate the theoretical value of companies using Monte Carlo simulations on classical computers to determine the fair price of a stock to reduce risks. The institutions typically run these simulations on supercomputers that require 24 hours or more to complete, as extremely high accuracy is required to minimize losses.

The Singularity Fair Price solution can reduce the error rates by 43% compared to a classical computer using IonQ’s trapped ion quantum computers with common PC-based software tools without increasing the runtime or number of runs, allowing financial institutions to achieve a more accurate valuation quickly.

Recently, Multiverse Computing released a new Singularity SDK version (v 1.2) for portfolio optimization using quantum computing. The Microsoft Excel plug-in of this platform delivers similar results as industry-standard solutions for large problems in a shorter duration.

Currently, the Singularity Portfolio Optimization Excel plug-in offers three solvers, including the Multiverse Hybrid for best results, the D-Wave Leap Hybrid, and a classical solver for advanced users for benchmarking purposes.

The highly efficient Multiverse Hybrid Solver combines the strength of quantum and classical computing and can effectively address portfolio optimization problems. Specifically, the Hybrid Solver can optimize large portfolios with thousands of assets by finding the portfolio that can deliver the highest returns and produce the same results as industry-standard solvers within a considerably shorter duration.

Multiverse Computing has specifically designed the new version for large financial institutions, such as insurance companies, pension funds, hedge funds, and banks. Portfolio managers can find an optimal balance between reward and risk among various assets under consideration while adhering to maximum and minimum allocations per asset based on investor preferences using this tool.

Additionally, the Singularity Portfolio Optimization plug-in can be utilized to build a completely new portfolio or to improve an existing portfolio, to develop medium to long-term strategies, and to routinely improve portfolio performance. The new interface is more streamlined and allows Singularity users to save the optimization settings for convenience.

Thus, the latest Singularity version provides a quantum-based solution to a simple case portfolio optimization, which is a more competitive approach compared to current classical approaches utilized in the industry. Moreover, the generic optimization library on which the Portfolio Optimization app has been built can be applied to any sector where optimization is crucial, such as aerospace, manufacturing, energy, and health and life sciences.

Future Outlook of Singularity

The Singularity platform is already offering users, specifically finance professionals, the ability to run extremely complex algorithms that can detect fraud or optimize a portfolio on the world’s most powerful computational devices using a simple spreadsheet input.

Multiverse Computing has established partnerships with companies such as Fujitsu, Amazon AWS, Orca, Strangeworks, Quantum Technologies Alpine, Pasqal, Rigetti, IonQ, D-Wave, Xanadu, Microsoft, and IBM to further increase the effectiveness of the Singularity platform in solving practical problems.

For instance, Multiverse Computing has partnered with IQM Quantum Computers to integrate IQM’s co-designed quantum processors with Singularity SDK to effectively exploit the advantages of quantum technology to solve real-world problems.

The company has also explored the quantum computing application potential with multiple large financial institutions. Several financial institutions, including Bankia, the European Tax Agency, Bank of Canada, and BBVA, are already using the Singularity toolkit of Multiverse Computing.

More from AZoQuantum: Researchers Discover Chiral Superconductivity in Silicon

References and Further Reading

Multiverse Computing introduces quantum-based Fair Price solution for investment portfolios [Online] Available at https://multiversecomputing.com/resources/multiverse-computing-introduces-quantum-based-fair-price-solution-for-investment-portfolios (Accessed on 26 February 2023)

Verticals [Online] Available at https://multiversecomputing.com/verticals (Accessed on 26 February 2023)

Multiverse Computing Releases New Version of Singularity SDK for Portfolio Optimization with Quantum Computing [Online] Available at https://multiversecomputing.com/resources/multiverse-computing-releases-new-version-of-singularity-sdk-for-portfolio-optimization-with (Accessed on 26 February 2023)

Mugel, S., Lizaso, E., & Orus, R. (2020). Use Cases of Quantum Optimization for Finance. ArXiv. https://doi.org/10.48550/arXiv.2010.01312 (Accessed on 26 February 2023)

Taylor, D. (2021). Quantum computing-as-a-service-startup Multiverse Computing raises €10 million [Online] Available at https://tech.eu/2021/10/20/quantum-computing-as-a-service-startup-multiverse-computing-raises-e10-million/ (Accessed on 26 February 2023)

Product [Online] Available at https://multiversecomputing.com/product (Accessed on 26 February 2023)

Our Company [Online] Available at https://multiversecomputing.com/our-company (Accessed on 26 February 2023)

Bringing Quantum to the Market With Multiverse Computing [Online] Available at https://ionq.com/posts/november-19-2021-quantum-to-the-market-multiverse-computing (Accessed on 26 February 2023)

Multiverse Computing and IQM Quantum Computers Announce Partnership to Develop Application-Specific Processors [Online] Available at https://www.meetiqm.com/articles/press-releases/multiverse-computing-and-iqm-quantum-computers-announce-partnership-to-develop-application-specific-processors/ (Accessed on 26 February 2023)

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Samudrapom Dam

Written by

Samudrapom Dam

Samudrapom Dam is a freelance scientific and business writer based in Kolkata, India. He has been writing articles related to business and scientific topics for more than one and a half years. He has extensive experience in writing about advanced technologies, information technology, machinery, metals and metal products, clean technologies, finance and banking, automotive, household products, and the aerospace industry. He is passionate about the latest developments in advanced technologies, the ways these developments can be implemented in a real-world situation, and how these developments can positively impact common people.


Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Dam, Samudrapom. (2023, March 27). Quantum Algorithms in Multiverse Computing's 'Singularity' Software. AZoQuantum. Retrieved on June 14, 2024 from https://www.azoquantum.com/Article.aspx?ArticleID=415.

  • MLA

    Dam, Samudrapom. "Quantum Algorithms in Multiverse Computing's 'Singularity' Software". AZoQuantum. 14 June 2024. <https://www.azoquantum.com/Article.aspx?ArticleID=415>.

  • Chicago

    Dam, Samudrapom. "Quantum Algorithms in Multiverse Computing's 'Singularity' Software". AZoQuantum. https://www.azoquantum.com/Article.aspx?ArticleID=415. (accessed June 14, 2024).

  • Harvard

    Dam, Samudrapom. 2023. Quantum Algorithms in Multiverse Computing's 'Singularity' Software. AZoQuantum, viewed 14 June 2024, https://www.azoquantum.com/Article.aspx?ArticleID=415.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this article?

Leave your feedback
Your comment type

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.