224 citations · 1k across the 23 of their papers we have counts for
26 papers
Quantum algorithms for orthogonal polynomial transforms
Anupam Prakash, Shree Hari Sureshbabu, Dylan Herman +1
A quantum orthogonal polynomial transform (QOPT) is an algorithmic primitive that maps a superposition of standard basis states coherently to a basis of norm…
Quantum option pricing via the Karhunen-Loève expansion
Anupam Prakash, Yue Sun, Shouvanik Chakrabarti +8
We consider the problem of pricing discretely monitored Asian options over monitoring points where the underlying asset is modeled by a geometric Brownian motion. We provide tw…
A quantum spectral method for simulating stochastic processes, with applications to Monte Carlo
Adam Bouland, Aditi Dandapani, Anupam Prakash
Stochastic processes play a fundamental role in physics, mathematics, engineering and finance. One potential application of quantum computation is to better approximate properties…
Quantum Methods for Neural Networks and Application to Medical Image Classification
Jonas Landman, Natansh Mathur, Yun Yvonna Li +4
Quantum machine learning techniques have been proposed as a way to potentially enhance performance in machine learning applications. In this paper, we introduce two new quantum met…
Quantum Reinforcement Learning via Policy Iteration
El Amine Cherrat, Iordanis Kerenidis, Anupam Prakash
Quantum computing has shown the potential to substantially speed up machine learning applications, in particular for supervised and unsupervised learning. Reinforcement learning, o…
Quantum machine learning with subspace states
Iordanis Kerenidis, Anupam Prakash
We introduce a new approach for quantum linear algebra based on quantum subspace states and present three new quantum machine learning algorithms. The first is a quantum determinan…