Intelligent pharmaceutical patent search on a near-term gate-based quantum computer

Pharmaceutical patent analysis is the key to product protection for pharmaceutical companies. In patent claims, a Markush structure is a standard chemical structure drawing with variable substituents. Overlaps between apparently dissimilar Markush structures are nearly unrecognizable when the structures span a broad chemical space. We propose a quantum search-based method which performs an exact comparison between two non-enumerated Markush structures with a constraint satisfaction oracle. The quantum circuit is verified with a quantum simulator and the real effect of noise is estimated using a five-qubit superconductivity-based IBM quantum computer. The possibilities of measuring the correct states can be increased by improving the connectivity of the most computation intensive qubits. Depolarizing error is the most influential error. The quantum method to exactly compares two patents is hard to simulate classically and thus creates a quantum advantage in patent analysis.

APPLICATION OF PATENT ANALYSIS FOR FORECASTING THE DEVELOPMENT OF NANOMATERIALS

In this article, in order to identify the most promising nanomaterials, the method of patent analysis is applied, dynamic series of the number of issued patents in specific classes and IPC groups, as well as patents containing the given names of nanomaterials on the title page, are constructed. Models of the life cycle of the studied nanomaterials were constructed, the coefficients of their maturity and the expected remaining service life were calculated.

Cosmonautics Patent Analytics using Cooperative Patent Classification Hierarchy

Patent research is a sector of entrepreneurship that has long been used to understand both technological and financial trends in STEM industries. Such research provides insight into intellectual capital as it relates to entities, countries, and innovation areas, thus being an important factor in research and development decision-making. Yet, the sheer volume of patents filed in conjunction with unorganized attributes within patent databases creates a challenge for effective patent analysis. With this in mind, we create a patent analytic tool that organizes a specific patent class using CPC, applicant, and time attributes.