Gaussian processes (GP) are a widely used model for regression problems in supervised machine learning. Implementation of GP regression typically requires O(n) logic gates. We show that the quantum linear systems algorithm [Harrow et al., Phys. Rev. Lett. 103, 150502 (2009)] can be applied to Gaussian process regression (GPR), leading to an exponential reduction in computation time in some inst...

one of the great challenges in the processing of materials using equal channel angular pressing (ecap) is the high forming forces required to produce large shear deformation in the material. researchers show that the friction forces between the die and the sample constitute a great part of the total forming forces. recently, ultrasonic vibrations are successfully implemented into the ecap proce...

Gas-assisted injection molding process is much complicated,the process parameters have multiplied. In this paper, a product with typical character of gas-assisted injection molded part is employed as the object of study. With the mould of gas-assisted injection molding and MPI/3D GAS in Moldflow software,the influence rule of the 6 important process parameters on gas penetration length in gas-a...