Quantum Matures and Consolidates
According to Sutor, quantum companies will merge to fill gaps in their hardware and software offerings and seek a firmer financial footing.
“We’ll say goodbye to some familiar names, but rather than representing a Quantum Winter, it will indicate a necessary maturation and evolution of the industry,” he says.
After the Hardware Boom, Software Dominates
The history of computing includes many instances where the industry and end-users obsess over hardware first and then software takes over, and quantum will be no exception.
“How many brands of smartphones are there versus the number of apps?” asks Sutor. “We will
Quantum Sensing Will Support AI and Vice Versa
Sutor predicts that machine learning will be used to optimize the performance of quantum sensors, while quantum sensors will enable new classes of machine learning algorithms for discovery within, and adaptation to, the sensors’ environment.
“Very different from the Big Data applications of machine learning and quantum computing, machine learning together with quantum sensing will bring about new capabilities in real-time sensing and signal processing,” says Sutor.
Focus Shifts to Quantum-Encoded Data
There will be a shift of focus from quantum hardware to how quantum-encoded data is used. Hardware processing remains critical, but enterprises will increasingly think about what data they are processing and why.
According to Sutor, this will bring to the fore a better understanding of connections between quantum sensors and computing devices for applications, including machine learning.
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