181 citations · 221 across the 8 of their papers we have counts for
8 papers
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Quantum Time Series Similarity Measures and Quantum Temporal Kernels
Vanio Markov, Vladimir Rastunkov, Daniel Fry
This article presents a quantum computing approach to designing of similarity measures and kernels for classification of stochastic symbolic time series. In the area of machine lea…
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction
Daniel Fry, Amol Deshmukh, Samuel Yen-Chi Chen +2
Quantum reservoir computing is strongly emerging for sequential and time series data prediction in quantum machine learning. We make advancements to the quantum noise-induced reser…
Implementation and Learning of Quantum Hidden Markov Models
Vanio Markov, Vladimir Rastunkov, Amol Deshmukh +2
In this article, we use the theory of quantum channels and open quantum systems to provide an efficient unitary characterization of a class of stochastic generators known as quantu…
Properties of The Discrete Sinc Quantum State and Applications to Measurement Interpolation
Charlee Stefanski, Vanio Markov, Constantin Gonciulea
Extracting the outcome of a quantum computation is a difficult task. In many cases, the quantum phase estimation algorithm is used to digitally encode a value in a quantum register…
Quantum Amplitude Interpolation
Charlee Stefanski, Vanio Markov, Constantin Gonciulea
In this paper we present a method for representing continuous signals with high precision by interpolating quantum state amplitudes. The method is inspired by the Nyquist-Shannon s…
A Generalized Quantum Inner Product and Applications to Financial Engineering
Vanio Markov, Charlee Stefanski, Abhijit Rao +1
In this paper we present a canonical quantum computing method to estimate the weighted sum w(k)f(k) of the values taken by a discrete function f and real weights w(k). The canonica…
Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination
Mark Weber, Mikhail Yurochkin, Sherif Botros +1
Algorithmic fairness in lending today relies on group fairness metrics for monitoring statistical parity across protected groups. This approach is vulnerable to subgroup discrimina…