Hey Everyone,
As a futurist it’s my job to look into emerging tech, like Generative A.I. and Quantum computing. The global market of quantum computing is around $35.5 billion. This will only increase in 2023, even as Governments, startups and major BigTech companies continue to invest in it.
The global quantum computing market size was exhibited at USD 10.13 billion in 2022 and is expected to surpass around USD 125 billion by 2030, poised to grow at a projected CAGR of 36.89% during the forecast period 2022 to 2030.
The quantum computers of today even as the culmination of years of research and hundreds of millions of dollars in investment aren’t even real Quantum computers. They are barely functional and not particularly useful. Today’s quantum computers are “noisy,” meaning that they fail at almost everything they attempt. Nevertheless, the race to build them has attracted as dense a concentration of genius as any scientific problem on the planet. I.B.M., Microsoft, Intel, and Amazon are also building quantum computers. So is the Chinese government.
The Potential of Quantum Technology Shines More brightly in 2023
It’s the hype of what Generative A.I. and Quantum computing can become that is fueling so much speculation as to the technological progress of the 2020s and especially what will become possible just less than ten years from now in the 2030s.
Quantum computing is an engineering problem with potentially huge rewards. This error correction problem is fundamental, because quantum computers are very difficult to build, they are very temperamental, meaning that every operation that you apply, you have a probability of error.
For a quantum computer to be impactful, you need to able to correct errors, and this is a long term investment. This is why Microsoft, Amazon and Google will continue to invest into them, the payoffs are worth a pretty sizeable R&D budget, and even the specialized Quantum startups of today will mostly hit dead-ends.
China is Encroaching on Academic R&D Supremacy in A.I
For the Chinese, desperate to leap-frog Silicon Valley, all avenues are explored. As they become prolific in machine learning research and quantity and quality of research papers continues to rise, they are most likely to unlock the secrets of Quantum Machine Learning.
Nobody in the West wants to hear it, but go look at some of the most influential papers in 2022 in A.I., the majority of them will be Chinese researchers, either in the States or in China itself. That talent will be unleashed in Quantum computing once scalability and the right qubit approach is solved.
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