"A Hybrid Approach and Risks to Security -- Quantum Computing Predictions for 2023"

Quantum computing provides the possibility of substantially faster processing rates, although it is still widely believed that this technology will not be commercially viable until much later. It has the potential to improve Machine Learning (ML) and Artificial intelligence (AI) while also unlocking the power of unstructured data. However, because of its ability to crack passwords and defeat encryption, quantum technology poses significant security risks. Industry leaders have given their predictions for the quantum world in 2023. ColdQuanta's vice president and top quantum advocate, Bob Sutor, believes that there are synergies between quantum and ML. ML will be used to maximize quantum sensor performance, and quantum sensors will enable new classes of ML algorithms for discovery within and adaptation to the sensors' environment. ML combined with quantum sensing will lead to new capabilities in real-time sensing and signal processing, which is different from the big data applications of ML and quantum computing. Vectra's CTO, Brian Neuhaus, is concerned that encrypted data taken today might be kept and used in a post-quantum era. Security leaders will be forced by developments in quantum computing to begin planning for a post-quantum world in 2023 as a result of this sensitive encrypted data. However, this strategy will also attract attackers, who will want to seize the data and store it to be sold or subsequently decoded rather than circumventing encrypted material that has previously been protected. In order to take action in the upcoming years, defenders are advised to start paying attention to what the National Institute of Standards and Technology (NIST) is doing this year in the area of post-quantum encryption. This article continues to discuss Industry experts' predictions in regard to the quantum world in 2023. 

BetaNews reports "A Hybrid Approach and Risks to Security -- Quantum Computing Predictions for 2023"