Qubrid Announces Quantum Computing Consulting for Generative AI, Machine Learning

artificial intelligence (ai) and machine learning (ml)

Insider Brief

  • Qubrid announced a suite of consulting and professional services offerings to advance the usage of quantum computing.
  • Services are available to commercial, government, educational and independent product groups and research labs.
  • Expertise spans generative AI, portfolio optimization, predictive modeling, logistics and complex simulations.

PRESS RELEASE —  Qubrid, a leading quantum computing company solving complex real world problems using its hybrid quantum-classical computing cloud platform, algorithms, applications and research, today announced a wide range of consulting and professional services offerings to advance the usage of quantum computing and help customers make best of this new paradigm.

Qubrid’s Quantum Computing consulting and professional services are available to commercial, government, educational and independent product groups and research labs. With expertise spanning diverse domains such as generative AI, portfolio optimization, predictive modeling, logistics, and complex simulations, Qubrid’s skilled teams design and develop specialized quantum algorithms for the right customer-specific solutions.

The new offerings include but are not limited to custom tailored research and software development services in:

  • Quantum Generative Adversarial Networks (QGANs)
  • Quantum Approximate Optimization Algorithm (QAOA)
  • Quantum Annealing
  • VQE (Variational Quantum Eigensolver
  • Quadratic Unconstrained Binary Optimization (QUBO)

“With our expertise in Generative AI, Machine Learning and Deep Learning in addition to Quantum Computing, we’re able to develop cutting-edge use cases and help customers offload their software development and testing to focus on their core business objectives,” said Pranay Prakash, CEO of Qubrid. “We can develop algorithms and applications from scratch or leverage and enhance existing algorithms suitable to your industry and for your specific solution. We are uniquely positioned with our Hybrid quantum-classical computing platform, home-grown algorithms and in-house talent to deliver such services effectively.”

Learn more about our consulting and professional services here.

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

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Araceli Venegas

Araceli Venegas

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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