IBM Wil Use Quantum Computing In Cloud Service
IBM are hoping to bring forward the development of quantum computing by providing a cloud service for researchers. It is a brave move and as part of the scheme they are allowing groups that are interested in the use of a five-qubit quantum computer.
IBM are hoping to bring forward the development of quantum computing by providing a cloud service for researchers. It is a brave move and as part of the scheme they are allowing groups that are interested in the use of a five-qubit quantum computer. At present, the New York IBM research lab is home to the hardware and IBM will set up a programming interface and give access to a quantum computer that will let experimental programmes be run.
A big problem is going to be the cooling system as this needs to be large and has to be kept extremely cold. There is also the issue of the amount of information that is stored plus the fact that it is not static means that it is hard to carry out analysis.
Jerry M. Chow Ph.D. manager of theory of quantum computing and information at IBM Research inspects cables connecting the vast array of microwave equipment powering quantum computing processors in the lab.
READ ALSO: Google Announced Their D-Wave 2X Quantum Computer Succesfully Works
Pund-IT Inc. analyst Charles King said that there are some essential differences between quantum and conventional computers including the use of qubits that can be off, on or both. At present, the machine runs five qubits, but it would need to be 50-100 qubits before it outran superfast computers already in use.
IBM are still using silicone to there are blocks faced before consistent use is achieved. Earl Joseph of IDC believes the biggest hurdles will be putting together the computer and then working out how to programme it. He added that other companies are working on quantum computers including Google and NASA Ames and think others will join in over the next few years. Hopefully, a team will be established, and research can go forward.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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