MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202511001799 A) filed by Fujitsu Limited on January 08, 2025, for Improved Training Of Variational Quantum Algorithms Through Delegation To Quantum And Classical Resources.

Inventors include Bhowmick, Rahul; Wadhwa, Harsh; Singh, Avinash; Sidana, Tania; and Sabapathy, Krishnakumar.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: According to an embodiment, a quantum circuit including first quantum gates is created. First parameters of first quantum gates are determined, based on a classical hardware. A precision level associated with the quantum circuit is determined and operations are executed based on the precision level. The operations include adding second quantum gates to the quantum circuit, based on the precision level. First parameter gradients of the first quantum gates are determined, based on the classical hardware and a quantum hardware. The first parameters are updated, based on the first parameter gradients, using the classical hardware. Second parameter gradients of the second quantum gates are determined, based on the quantum hardware. The second parameters are updated based on the second parameter gradients, using the classical hardware. Optimized parameters of the quantum circuit are obtained by iteratively executing the operations based on the precision level.

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