activity
20162023
most citedNoisy intermediate-scale quantum (NISQ) algorithms

1.8k citations · 3.3k across the 37 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

quant-ph2020★ 32 cited

Generalized Quantum Assisted Simulator

Tobias Haug, Kishor Bharti

We provide a noisy intermediate-scale quantum framework for simulating the dynamics of open quantum systems, generalized time evolution, non-linear differential equations and Gibbs…

quant-ph2020★ 82 cited

Quantum Assisted Simulator

Kishor Bharti, Tobias Haug

Quantum simulation can help us study poorly understood topics such as high-temperature superconductivity and drug design. However, existing quantum simulation algorithms for curren…

cond-mat.quant-gas2020★ 2 cited

Persistent Current of SU(N) Fermions

Wayne J. Chetcuti, Tobias Haug, Leong-Chuan Kwek +1

We study the persistent current in a system of SU() fermions with repulsive interaction confined in a ring-shaped potential and pierced by an effective magnetic flux. By applyin…

quant-ph2020★ 55 cited

Iterative Quantum Assisted Eigensolver

Kishor Bharti, Tobias Haug

The task of estimating the ground state of Hamiltonians is an important problem in physics with numerous applications ranging from solid-state physics to combinatorial optimization…

quant-ph2020★ 6 cited

Fully-programmable universal quantum simulator with a one-dimensional quantum processor

V. M. Bastidas, T. Haug, C. Gravel +3

Current quantum devices execute specific tasks that are hard for classical computers and have the potential to solve problems such as quantum simulation of material science and che…

cond-mat.quant-gas2020★ 208 cited

Roadmap on Atomtronics: State of the art and perspective

L. Amico, M. Boshier, G. Birkl +56

Atomtronics deals with matter-wave circuits of ultra-cold atoms manipulated through magnetic or laser-generated guides with different shapes and intensities. In this way, new types…

quant-ph2020★ 36 cited

Classifying global state preparation via deep reinforcement learning

Tobias Haug, Wai-Keong Mok, Jia-Bin You +3

Quantum information processing often requires the preparation of arbitrary quantum states, such as all the states on the Bloch sphere for two-level systems. While numerical optimiz…

quant-ph2020★ 60 cited

Machine Learning meets Quantum Foundations: A Brief Survey

Kishor Bharti, Tobias Haug, Vlatko Vedral +1

The goal of machine learning is to facilitate a computer to execute a specific task without explicit instruction by an external party. Quantum foundations seeks to explain the conc…