D-Wave Showcases Quantum Optimization Solutions at INFORMS Annual Meeting

D-Wave Quantum (NYSE: QBTS), a leader in quantum computing systems, software and services, and the first commercial provider of quantum computers, recently participated in the 2024 INFORMS Annual Meeting, highlighting its quantum optimization solutions and customer success stories. The company's Vice President of Quantum Technology Evangelism, Murray Thom, was a featured speaker at the event's Technology Showcase, detailing how D-Wave quantum technologies can tackle complex optimization problems.

D-Wave's Staff Technical Advisor Catherine Potts led an exhibitor workshop covering the fundamentals of quantum computing and demonstrated real-world cases. Participants were given the opportunity to explore D-Wave's Leap(TM) real-time quantum cloud service, which features a portfolio of hybrid solvers able to deal with problems involving millions of variables and constraints. The 2024 INFORMS Annual Meeting was expected to attract 6,000 attendees, including members, students, prospective employers and employees, as well as academic and industry experts.

INFORMS is the largest professional association for the decision and data sciences, encompassing a diverse range of academic and industry experts in operations research, analytics, management science, economics, behavioral science, statistics, artificial intelligence, data science, and applied mathematics. The participation of quantum computing companies like D-Wave in such events signals the growing integration of quantum technologies into traditional optimization and decision science fields.

The demonstration of real-world applications and the accessibility of quantum computing through cloud services like D-Wave's Leap platform represents a significant step toward practical quantum adoption in industry and research. This development matters because it shows quantum computing moving from theoretical research to tangible problem-solving tools that can handle massive-scale optimization challenges previously considered computationally intractable.