The rise of Quantum Computing

Quantum computing will accelerate machine learning

Machine learning and data science are top use cases for early adopters of quantum computing.

Quantum is being increasingly adopted by businesses

According to a survey on enterprise quantum computing, almost 70% of global enterprise executives have adopted or have plans to adopt quantum computing in the next year.

Quantum computing as a source of competitive advantage

"Among respondents that said their organization has begun building quantum capabilities, 41% expect to achieve an advantage over their competitors within the next two years."

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KNowledge Exchange

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Quantum platform

Build tools and frameworks to develop QML applications on Quantum and Hybrid-Quantum hardware


Community of experts

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use cases

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Serves as an exchange for models, implementations, use cases, and experts

Translates ML code into quantum-usable code

Runs models on quantum-assisted hardware

Data quarantine for sensitive data (pools)

Quantum computers are expected to have the ability to solve certain problems at a much quicker rate than classical computers, even those using the best algorithms.

Quantum computers could also be able to learn from less data, could better cope with noisy data, and could handle more complex structures than traditional algorithms.

The advent of QML could mean that less training information - or simpler models - will be needed to achieve comparable results, accelerating the pace of machine learning.

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Title

PQML
  • Translates ML-code into quantum-usable code
  • Runs models on quantum assisted-hardware
  • Stores data (in quarantine if needed)
  • Stores models, implementations, and ready-use apps
  • Stores QAM experts profiles for academic/commercial exchange
  • Provides expert help
  • Becomes an exchange for models, implementations, use cases, and experts
Coder
  • Individuals or data science teams of public or private organizations
  • Develops or has developed machine learning algorithms/models
  • Wishes to run or optimize these in a quantum-assisted environment and/or make them available to others
User
  • Has specific use cases in mind
  • May have large amounts of data and wishes to extract information from these
  • Looks for models that assist him/her in finding answers in specific use case through quantum-assisted machine learning

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