48 citations · 75 across the 5 of their papers we have counts for
8 papers
MaSS: Multi-attribute Selective Suppression
Chun-Fu Chen, Shaohan Hu, Zhonghao Shi +5
The recent rapid advances in machine learning technologies largely depend on the vast richness of data available today, in terms of both the quantity and the rich content contained…
Universal Quantum Speedup for Branch-and-Bound, Branch-and-Cut, and Tree-Search Algorithms
Shouvanik Chakrabarti, Pierre Minssen, Romina Yalovetzky +1
Mixed Integer Programs (MIPs) model many optimization problems of interest in Computer Science, Operations Research, and Financial Engineering. Solving MIPs is NP-Hard in general,…
On the Exponential Sample Complexity of the Quantum State Sign Estimation Problem
Arthur G. Rattew, Marco Pistoia
We demonstrate that the ability to estimate the relative sign of an arbitrary -qubit quantum state (with real amplitudes), given only copies of that state, would yield a $kn…
Optimizing Quantum Search Using a Generalized Version of Grover's Algorithm
Austin Gilliam, Marco Pistoia, Constantin Gonciulea
Grover's Search algorithm was a breakthrough at the time it was introduced, and its underlying procedure of amplitude amplification has been a building block of many other algorith…
Quantum Orbital-Optimized Unitary Coupled Cluster Methods in the Strongly Correlated Regime: Can Quantum Algorithms Outperform their Classical Equivalents?
Igor O. Sokolov, Panagiotis Kl. Barkoutsos, Pauline J. Ollitrault +4
The Coupled Cluster (CC) method is used to compute the electronic correlation energy in atoms and molecules and often leads to highly accurate results. However, due to its single-r…
Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
Pauline J Ollitrault, Abhinav Kandala, Chun-Fu Chen +7
The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources…