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Quantum Computing in Action – Charting a New Course for Logistics Optimization
Addressing data challenges requires strategic investment in innovative tools, robust data management practices, and the use of pre-trained ML models effectively. However, the ever-accelerating pace of data generation and the need to run numerous scenarios for optimal decision-making continue to be daunting. The limitations of traditional computing capabilities often pose significant challenges in managing vast amounts of data in real time. This situation underscores the need to pivot to the next generation of computing power—high-performance computing, edge, and quantum computing modalities.
Quantum Computing Coming Sooner Than You Think
The slow pace of quantum development has inspired enterprises to take a “wait and watch” strategy for quantum applications. Increasing the number of qubits while reducing the noise or error correction is the most critical challenge in quantum computing. However, the next five years will be crucial in the development of quantum computers. So now is time to build partnerships and identify pilot programs for when quantum computing becomes affordable and accessible to your size and type of organization.