Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

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Quantum and Quantum-inspired Optimization for Intractable Industry Problems

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

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The Communicative Challenges and Implications of Quantum Computing

The industry partner1QBit has access to a processor that uses an adiabatic annealing technique to address a special class of optimization problems for initial application in finance. Optimization problems have a long and broad relevance to challenges faced in the financial sector. The prospect of quantum annealing as a way to innovate in solving finance […]

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Programming Techniques for QUBO Compatible Processors

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

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Programming Techniques for QUBO Compatible Processors II

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

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The Communicative Challenges and Implications of Quantum Computing Renewal

The industry partner 1QBit has access to a processor that uses an adiabatic annealing technique to address a special class of optimization problems for initial application in finance. Optimization problems have a long and broad relevance to challenges faced in the financial sector. The prospect of quantum annealing as a way to innovate in solving […]

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Translating a Quantum Computing Actor-network through Controversy

Quantum computing has emerged as a new paradigm of computation with potentially far-reaching consequences. However, this change in the form, abilities, and characteristics of computation has not been well studied or theorized in communication studies and related fields. This project draws upon Actor-network Theory (ANT) to challenge the assumptions about computation/computers found in current writing […]

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Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

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Investigating QUBO-Compatible Algorithms for Trading and Scheduling Optimization Problems

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

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Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers Year Two

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

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