activity
20202026
most citedQuantum computing for finance

286 citations · 534 across the 36 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.AI2023

Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique

Ilya Tyagin, Ilya Safro

This paper presents a novel benchmarking framework Dyport for evaluating biomedical hypothesis generation systems. Utilizing curated datasets, our approach tests these systems unde…

quant-ph2023

QArchSearch: A Scalable Quantum Architecture Search Package

Ankit Kulshrestha, Danylo Lykov, Ilya Safro +1

The current era of quantum computing has yielded several algorithms that promise high computational efficiency. While the algorithms are sound in theory and can provide potentially…

quant-ph2023★ 286 cited

Quantum computing for finance

Dylan Herman, Cody Googin, Xiaoyuan Liu +5

Quantum computers are expected to surpass the computational capabilities of classical computers and have a transformative impact on numerous industry sectors. We present a comprehe…

quant-ph2023★ 3 cited

Similarity-Based Parameter Transferability in the Quantum Approximate Optimization Algorithm

Alexey Galda, Eesh Gupta, Jose Falla +4

The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. A…

cs.DS2023

Decomposition Based Refinement for the Network Interdiction Problem

Krish Matta, Xiaoyuan Liu, Ilya Safro

The shortest path network interdiction (SPNI) problem poses significant computational challenges due to its NP-hardness. Current solutions, primarily based on integer programming m…

cs.AI2023

Literature-based Discovery for Landscape Planning

David Marasco, Ilya Tyagin, Justin Sybrandt +2

This project demonstrates how medical corpus hypothesis generation, a knowledge discovery field of AI, can be used to derive new research angles for landscape and urban planners. T…

quant-ph2023★ 1 cited

Learning To Optimize Quantum Neural Network Without Gradients

Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +1

Quantum Machine Learning is an emerging sub-field in machine learning where one of the goals is to perform pattern recognition tasks by encoding data into quantum states. This exte…