Infleqtion Collaborates with Morningstar and also Launches SupercheQ, a Program to Obtain Quantum...

Infleqtion, which recently changed its corporate name from Coldquanta, has made two announcements this week. The first is a collaboration with Morningstar to integrate its SuperstaQ program with Morningstar Direct, Morningstar's investment and portfolio analysis platform. Morningstar Direct is a program that allows users to create their own "notebooks" to perform custom analytics and discover new investment opportunities. With the integration of SuperstaQ, this will allow users to perform computationally heavy analyses such as creating risk-optimized portfolios that can be run on quantum platforms using SuperstaQ. SuperstaQ is hardware agnostic and has optimization capabilities so that programs can run as efficiently as possible. This allows an end user to input a financial program using Morningstar Direct and have it solved on a quantum platform without having to learn the details of how to directly program a quantum computer. Additional information about this collaboration is available in a press release that can be seen here.

The second announcement was the unveiling of a new program called SupercheQ. It is a family of quantum protocols that achieves asymptotic advantage over classical protocols for checking the equivalence of files. It is based upon an algorithm called random circuit sampling, which is commonly used with various benchmarking programs such as Quantum Volume. The program comes in two variants. SupercheQ-EE (Efficient Encoding) uses n qubits to verify files with 2O(n) bits. A second version, SupercheQ-IE (Incremental Encoding) which can be used for checking incremental updates to the data bases and uses n qubits to verify files with O(n2) bits. The company indicates it is has performed experimental evaluation on IBM Quantum hardware as well as NVIDIA GPUs, using the cuQuantum software development kit. Additional information about SupercheQ is available in a press release here and also a technical paper posted on arXiv here.

December 10, 2022