3 citations · 3 across the 1 of their papers we have counts for
3 papers
Linear Regression by Quantum Amplitude Estimation and its Extension to Convex Optimization
Kazuya Kaneko, Koichi Miyamoto, Naoyuki Takeda +1
Linear regression is a basic and widely-used methodology in data analysis. It is known that some quantum algorithms efficiently perform least squares linear regression of an expone…
Quantum Speedup of Monte Carlo Integration with respect to the Number of Dimensions and its Application to Finance
Kazuya Kaneko, Koichi Miyamoto, Naoyuki Takeda +1
Monte Carlo integration using quantum computers has been widely investigated, including applications to concrete problems. It is known that quantum algorithms based on quantum ampl…
Quantum Pricing with a Smile: Implementation of Local Volatility Model on Quantum Computer
Kazuya Kaneko, Koichi Miyamoto, Naoyuki Takeda +1
Applications of the quantum algorithm for Monte Carlo simulation to pricing of financial derivatives have been discussed in previous papers. However, up to now, the pricing model d…