Abstract: A method may include obtaining a set of multivariate quadratic polynomials associated with a multivariate quadratic problem and generating an Ising Model connection weight matrix “W” and an Ising Model bias vector “b” based on the multivariate quadratic polynomials. The method may also include providing the matrix “W” and the vector “b” to an annealing system configured to solve problems written according to the Ising Model and obtaining an output from the annealing system that represents a set of integers. The method may also include using the set of integers as a solution to the multivariate quadratic problem.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a processor included in a computer to execute a process, the process includes calculating, by using a tolerance being predetermined and information on a Hamiltonian, a half adjust position with which an error of the Hamiltonian between a numerical value of the Hamiltonian before approximation of the Hamiltonian and the numerical value of the Hamiltonian after the approximation of the Hamiltonian is smaller than or equal to the tolerance, and performing integerization on the numerical value of the Hamiltonian based on the half adjust position.

Abstract: An information processing apparatus includes a processor. The processor configured to execute learning using a plurality of hyper parameters, calculate an evaluation value representing an evaluation of a learning result for each of the plurality of hyper parameters by the learning, repeat processing for generating an approximate expression representing a relationship between the plurality of hyper parameters and the evaluation values and regenerating an approximate expression using the evaluation values from which an abnormal evaluation value determined as an abnormal value based on the generated approximate expression is excluded until the abnormal evaluation value does not exist to generate a convergence approximate expression, and decide an optimal value of each of the plurality of hyper parameters based on the generated convergence approximate expression.

Abstract: A mask is selected amongst a plurality of masks. A first masked random number is generated by converting a first random number using the selected mask, and a first key is generated from the first masked random number and a first biometric code generated from biometric information. In addition, mask information indicating the selected mask is stored. A second masked random number is generated by converting a second random number using the selected mask or a different mask having a predetermined relationship with the selected mask, and a second key is generated from the second masked random number and a second biometric code. A ciphertext is generated using one of the first key and the second key and an error-correction encoding method.

Abstract: A method may include obtaining a set of multivariate quadratic polynomials associated with a multivariate quadratic problem and generating an Ising Model connection weight matrix “W and an Ising Model bias vector “b” based on the multivariate quadratic polynomials. The method may also include providing the matrix “W” and the vector “b” to an annealing system configured to solve problems written according to the Ising Model and obtaining an output from the annealing system that represents a set of integers. The method may also include using the set of integers as a solution to the multivariate quadratic problem.

Abstract: A mask is selected amongst a plurality of masks. A first masked random number is generated by converting a first random number using the selected mask, and a first key is generated from the first masked random number and a first biometric code generated from biometric information. In addition, mask information indicating the selected mask is stored. A second masked random number is generated by converting a second random number using the selected mask or a different mask having a predetermined relationship with the selected mask, and a second key is generated from the second masked random number and a second biometric code. A ciphertext is generated using one of the first key and the second key and an error-correction encoding method.