Alibaba Group had five patents in quantum computing during Q4 2023. Alibaba Group Holding Ltd filed a patent for systems and methods to benchmark a set of quantum gates by obtaining a sequence of quantum gates, applying them to qubits, and generating a fidelity benchmark based on the obtained probability. GlobalData’s report on Alibaba Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Alibaba Group grant share with quantum computing as a theme is 60% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Polynomial-time linear cross-entropy benchmarking (Patent ID: US20230385679A1)
The patent filed by Alibaba Group Holding Ltd. discloses systems and methods for benchmarking a set of quantum gates. The method involves selecting a sequence of M quantum gates from a group of quantum gates based on a probability distribution, where the quantum gates are capable of polynomial-time classical simulation. By applying the selected sequence of quantum gates to N qubits of a quantum computing device, an outcome value is obtained, and a probability of obtaining this outcome value is calculated through classical simulation. A fidelity benchmark for the M quantum gates is then generated based on the obtained probability, providing a measure of the gates' performance.
The claims of the patent detail a method, system, and computer-readable medium for benchmarking a quantum device. These include steps such as generating an averaged probability using probabilities obtained from applying different sequences of quantum gates to the qubits, and providing a fidelity benchmark based on this averaged probability. The system and medium also involve determining a fidelity function or exponential decay coefficient as the benchmark, depending on the averaged probability. Additionally, the patent specifies the use of Clifford gates in the group of quantum gates, as well as the inclusion of various types of qubits such as superconducting circuit, trapped ion, or photonic qubits. The parameters N and M are defined to be greater than 100 and 20, respectively, and the system can be applied to qubits like transmon or fluxonium qubits.
To know more about GlobalData’s detailed insights on Alibaba Group, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
