LECTURE: QUANTUM COMPUTING - REDEFINING COMPUTATION IN THE AGE OF HYBRID INTELLIGENCE

Quantum computing represents more than a new generation of hardware - it marks a fundamental redefinition of how intelligence is computed. As the world moves beyond binary logic into the probabilistic realm of quantum mechanics, enterprises are beginning to explore how quantum algorithms can complement classical systems to solve previously intractable problems. The shift is not theoretical - rapid advancements in qubits, error correction, and algorithmic design are bringing quantum advantage closer to commercial reality.

At its core, quantum computing expands the boundaries of problem-solving, enabling hybrid architectures that merge classical precision with quantum scale. This convergence is poised to reshape high-performance computing, optimization, and cryptography - driving breakthroughs in everything from financial modeling to AI acceleration. The enterprises preparing for this hybrid era are not just adopting a new technology; they’re redefining what computation itself means.

Topics of discussion will include, yet will not be limited to:

• Understanding the fundamentals of quantum mechanics as applied to computation
• Exploring hybrid models that integrate classical and quantum architectures
• Assessing the potential business use cases and limitations of quantum computing
• Preparing data systems and infrastructure for the coming era of quantum advantage

John Jiang, Ph.D., Former Chief Research & Solution Architect - Cloud Big Data Architect & Data Scientist, HITACHI