Implementing photonic quantum computing solutions for financial problems through the Gaussian Boson Sampling model - ON-524

Project type: Research
Desired discipline(s): Computer science, Mathematical Sciences, Physics / Astronomy, Natural Sciences
Company: Multiverse Computing
Project Length: 6 months to 1 year
Preferred start date: 10/31/2021
Language requirement: English
Location(s): Waterloo, ON, Canada; Toronto, ON, Canada; Montréal, QC, Canada; Canada
No. of positions: 1
Desired education level: Master'sPhD
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About the company: 

Multiverse Computing is a quantum and quantum-inspired software company based in Canada that offers solutions to open and complex financial problems. We provide hyper-efficient software for companies from the financial industry wanting to gain an edge with quantum computing and artificial intelligence.

Our team of experts is world-renowned for innovative approaches to intractable financial and macro-economics problems.

We are applying to Mitacs to allow us to expand our R&D team in Canada to tackle problems of huge commercial impact and expand our expertise. Xanadu is a strategic quantum computing platform for Multiverse. The student will help us build our expertise on this machine.

Describe the project.: 

The student will face the challenge of identifying industry-relevant problems that can be tackled with Gaussian Boson Sampling. Specifically, the student will identify high-value graph similarity problems in finance, and implement solutions on NISQ era quantum computers.

During the internship, the student will combine and have access to photonic quantum hardware and financial quantum training. The researcher will be able to learn and develop abilities from a fast-paced startup environment.

The main goals of the internships are:

  • Perform a thorough literature review to identify known mappings.
  • Use access to quantum hardware and algorithms to benchmark performance
  • Identify applications of graph similarity problems in finance and test performance of Gaussian Boson Sampling-based algorithms

Required expertise/skills: 

Oriented to: Candidate of Masters (or PhD) degree in Quantum Physics