activity
20172022
most citedUnsupervised Machine Learning on a Hybrid Quantum Computer

228 citations · 240 across the 5 of their papers we have counts for

collaborators
Showing quant-phShow all

5 papers · 1 filter

quant-ph2021

Low depth amplitude estimation on a trapped ion quantum computer

Tudor Giurgica-Tiron, Sonika Johri, Iordanis Kerenidis +6

Amplitude estimation is a fundamental quantum algorithmic primitive that enables quantum computers to achieve quadratic speedups for a large class of statistical estimation problem…

quant-ph2021

Quantum Rounding

Rajiv Krishnakumar, William Zeng

We introduce new rounding methods to improve the accuracy of finite precision quantum arithmetic. These quantum rounding methods are applicable when multiple samples are being take…

quant-ph2020

A Threshold for Quantum Advantage in Derivative Pricing

Shouvanik Chakrabarti, Rajiv Krishnakumar, Guglielmo Mazzola +3

We give an upper bound on the resources required for valuable quantum advantage in pricing derivatives. To do so, we give the first complete resource estimates for useful quantum d…

quant-ph2020

Digital zero noise extrapolation for quantum error mitigation

Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose +2

Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations without using additional quantum resources. We review the fu…

quant-ph2017228 cited

Unsupervised Machine Learning on a Hybrid Quantum Computer

J. S. Otterbach, R. Manenti, N. Alidoust +27

Machine learning techniques have led to broad adoption of a statistical model of computing. The statistical distributions natively available on quantum processors are a superset of…