Rigetti and has patented a method for optimizing quantum processes by adjusting variable parameters based on test data and objective function evaluation. The quantum process is then provided for execution by a quantum processor with the updated parameter value. GlobalData’s report on Rigetti and gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Rigetti and, Superconducting quantum circuits was a key innovation area identified from patents.
Quantum process optimization method
The granted patent (Publication Number: US11900212B1) discloses a method for optimizing quantum processes through the evaluation of an objective function based on test data. The method involves identifying a variable parameter of the quantum process, obtaining test data representing a test output, evaluating the objective function using a data processing apparatus, assigning a different value to the variable parameter based on the evaluation, and providing the optimized quantum process for execution by a quantum processor. The objective function evaluation can utilize both test data and training data, with the quantum process potentially involving quantum logic circuits or gates configured for specific applications like quantum variational eigensolvers.
Furthermore, the patent extends to a computer system implementing the method, comprising a data processing apparatus and a non-transitory computer-readable medium storing instructions for optimizing quantum processes. The system involves obtaining test data, evaluating the objective function, assigning optimized values to the variable parameter, and providing the enhanced quantum process for execution. The system can also involve iterative processes for continuous optimization, simulation of quantum processes by classical processors, and construction of quantum logic circuits by classical processor units. Additionally, the system may include shared memory for efficient data processing between the quantum processor unit and classical processor unit, enhancing the overall performance and functionality of the quantum optimization process.
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