MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641107056 A) filed by Vidya Jyothi Institute Of Technology on September 03, 2026, for Ai And Quantum Learning Scheduler Using A Q-Learning Algorithm.
Inventors include Dr. Anusha Ampavathi; Dr. Mohd Nazeer; Ms. M. Kavya; Mrs. V. Archana Reddy; Mrs. B. Deepthi Reddy; Mrs. K. Santhi Priya; Mrs. M. Sharwani; Mrs. G. Indira Priya Darshini; Mr. M. Rama Mohan; Mr. Pappula Praveen; A. Bhargavi; S. Ushapriya; V. Bhuvaneshwari; and M. Madhu Shalini.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: ABSTRACT The present invention relates to an AI and quantum learning scheduler (100) comprising a task input module (102) that receives a plurality of scheduling tasks, and a state representation module (104) that encodes a scheduling state, representative of the scheduling tasks and an availability of a computing resource, into a quantum state representation. A quantum Q-value estimation engine (106) executes a parameterized quantum circuit on the quantum state representation to estimate a Q-value corresponding to each of a plurality of scheduling actions, and an action selection module (108) selects a scheduling action based on the estimated Q-value. A scheduling execution module (110) executes the selected scheduling action, a reward computation module (112) computes a reward value based on an outcome thereof, and a Q-value update module (114) updates a parameter of the parameterized quantum circuit, in accordance with a Q-learning update rule, based on the reward value, the updated parameter being storable at a Q-table/policy repository (116), thereby enabling accelerated convergence to an improved scheduling policy. The figure associated with abstract is FIG. 1
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