Top 5 Key Drivers of Quantum Computing in 2019
Quantum computation is the extension of classical computation to the processing of quantum information, using quantum systems like individual atoms, molecules, or photons. Plus, it is one of the top emerging technologies that will radically reshape the world, along with artificial intelligence and augmented reality. Quantum computers could perform certain tasks much more efficiently than classical computers and affords us with powerful tools for specific applications. Therefore, it will be beneficial in advancing solutions for the challenges of diverse fields such as energy, finance, aerospace, healthcare, etc. Their capabilities can help humans to cure diseases, improve global financial markets, detangle traffic, combat climate change, and complete many more complex tasks. For instance, quantum computing has the potential to speed up pharmaceutical discovery and development as well as improve the accuracy of the atmospheric models used to track and explain climate change and its adverse effects.
People are making optimistic predictions for decades about the impact of quantum computers and the various advances in business and academia. But, today, quantum computers have finally arrived to replace the current high-speed computing systems. Recently, at the 2019 Consumer Electronics Show (CES 2019), tech-giant—IBM unveiled “IBM Q System One™”, the world’s first integrated universal approximate quantum computing system designed for scientific as well as commercial use. These quantum computer systems are designed to tackle the problems that are currently seen as too complex.
Now, one can visualize impossible things to become possible with the most powerful, advanced, auto-calibrated quantum computer hardware. Here are some major trends that could advance quantum computing to the next level in the revolutionary year 2019:
In computer science, artificial intelligence is an extremely trendy field. Through machine learning and neural networks, scientists have tried to make AI more humane. If we blend AI with quantum computers, it will take us to a whole new level of possibilities. Developers are algorithms to transform the field of artificial neural network optimization which prime supporter of machine learning and AI computers and AI also share another trait—exponential growth. Processors for quantum devices are measured in qubits, quantum computing itself works in such a nature that matrices are often used to define and determine the quantum states of qubits. So with that, any computational process done on the neural network would be similar to using transformational quantum gates on qubits. Therefore, quantum computers seem like the perfect fit for neural networks incorporated in AI, they significantly speeding up machine learning compared to a classical computer. That’s why Google has been investing in quantum computer research to use quantum hardware for the improvement of Google AI
Unlike traditional cryptographic systems which utilize mathematic models, quantum cryptography relies on physics as a key aspect of its security model. An unbreakable cryptosystem is developed with the help of individual particles—photon. Presently, this highly complex system is still in infancy but one cannot ignore its future capabilities as the recently launched quantum computers will be utilizing it for security. At present, quantum cryptography has been demonstrated in the laboratory by IBM, but over relatively short distance communication.
