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With huge implications for the finance industry quantum computing is attracting attention from investors, but its early and incredibly complex. Fore example, IonQ's technology runs algorithms by splitting laser beams and varying the times and intensity at which each mini-ray strikes the qubits. Depending on the operation, the qubits light up a certain way, and a detector sees that fluorescence and uses it to read the information the qubits hold!
Maryland startup IonQ Inc. is taking a new approach to quantum computing by commercializing years-long university lab research on trapped ions, a method the company says could lead to better performance as the technology inches into the commercial sector. The company’s work is garnering attention from investors such as New Enterprise Associates and GV, formerly Google Ventures, which recently led a $20 million funding round for IonQ. Quantum computing harnesses the power of quantum binary digits, or qubits, which represent and store information in both 0s and 1s simultaneously, compared to binary digits, or bits, which can either be 0s or 1s and have dominated the classical computing industry to date. Quantum computers have the potential to sort through a vast number of possibilities within a fraction of a second to come up with a probable solution.
https://blogs.wsj.com/cio/2017/07/26/startups-trapped-ions-could-lead-to-better-quantum-performance/
