Alibaba Group had two patents in quantum computing during Q1 2024. Alibaba Group Holding Ltd filed a patent for systems and methods to benchmark a set of quantum gates by determining an approximate value of the fidelity function over the input domain. Multiple fidelity measures are determined using basis functions to generate a probability distribution, which is used to determine the fidelity measure and generate the approximate fidelity function. GlobalData’s report on Alibaba Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Alibaba Group grant share with quantum computing as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Benchmarking protocol for quantum gates (Patent ID: US20240004773A1)
The patent filed by Alibaba Group Holding Ltd. discloses systems and methods for benchmarking a set of quantum gates by determining an approximate value of the fidelity function over the input domain. This benchmarking process involves selecting a set of quantum gates, defining a fidelity function over the input domain, and determining multiple fidelity measures associated with basis functions to generate a probability distribution. The approximate fidelity function is then generated using these fidelity measures and corresponding basis functions. The method also includes performing randomized benchmarking on a quantum component to obtain fidelity measures under different probability distributions, such as scaling fidelity values for interleaved and un-interleaved sequences of quantum gates.
The system described in the patent includes at least one processor and a non-transitory computer-readable medium containing instructions for selecting a set of quantum gates, determining an approximate fidelity function using basis functions and probability distributions, and providing the approximate fidelity function. The system also involves performing randomized benchmarking on a quantum component to obtain fidelity measures and scaling fidelity values for different sequences of quantum gates. The disclosed method and system aim to accurately benchmark quantum gates by generating an approximate fidelity function based on fidelity measures obtained through randomized benchmarking, ultimately improving the performance and reliability of quantum computing systems.
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