Nvidia CEO states that quantum computing is still 15-30 years away. It raised misgivings about the readiness of this technology, resulting into the price decline of quantum computing stocks. The remark from the CEO is applicable to fully scalable, general-purpose quantum systems. It ignores the fact that quantum computing already delivers results today.
Quantum has not remained a preserve of physicists and futurists. It has already started helping industries to solve problems which classical systems cannot tackle. Quantum systems help in predictive analytics and decision-making. Quantum era is unfolding right now.
Quantum computing scores over the classical computing by processing data differently taking advantage of qubits and superposition and uses an entire spectrum of possibilities. Entanglement provides interconnected qubits, and changes in one affect others, no matter how far apart they are. A complex problem is tackled by quantum systems more effectively. The challenges of optimization are solved.
Quantum plus AI is a real game changer. Quantum excels at optimization whereas AI unlocks the potential even more. AI is good at pattern recognition and predictive modelling. However, AI suffers from computational bottlenecks.
Though quantum computing offers unparalleled speed and efficiency, it is only as good as the data it processes. Quantum applications require clean, structured and actionable data. Quantum requires data preparation. If businesses invest in better data pipelines, quantum’s transformative potential could be fully realized.
Quantum at present requires certain hardware conditions — cryogenic cooling nearing absolute zero. In addition, the systems are not general-purpose. They are suitable for optimization and simulations. However, the technology is evolving a rapid pace. In the meantime, there could be hybrid models of quantum-classical systems to bridge the gap.
Quantum and us are not 30 years apart. Quantum is already solving problems which classical system cannot. The quantum era has begun.