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

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

collaborators

37 papers

quant-ph2023★ 11 cited

Rydberg atomtronic devices

Philip Kitson, Tobias Haug, Antonino La Magna +2

Networks of Rydberg atoms provide a powerful basis for quantum simulators and quantum technologies. Inspired by matter-wave atomtronics, here we engineer switches, diodes and unive…

quant-ph2023★ 4 cited

Rigorous noise reduction with quantum autoencoders

Wai-Keong Mok, Hui Zhang, Tobias Haug +6

Reducing noise in quantum systems is a major challenge towards the application of quantum technologies. Here, we propose and demonstrate a scheme to reduce noise using a quantum au…

quant-ph2023★ 19 cited

Pseudorandom unitaries are neither real nor sparse nor noise-robust

Tobias Haug, Kishor Bharti, Dax Enshan Koh

Pseudorandom quantum states (PRSs) and pseudorandom unitaries (PRUs) possess the dual nature of being efficiently constructible while appearing completely random to any efficient q…

quant-ph2023★ 62 cited

Efficient quantum algorithms for stabilizer entropies

Tobias Haug, Soovin Lee, M. S. Kim

Stabilizer entropies (SEs) are measures of nonstabilizerness or `magic' that quantify the degree to which a state is described by stabilizers. SEs are especially interesting due to…

quant-ph2023★ 22 cited

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric

Tobias Haug, M. S. Kim

Generalization is the ability of machine learning models to make accurate predictions on new data by learning from training data. However, understanding generalization of quantum m…

quant-ph2023★ 119 cited

Stabilizer entropies and nonstabilizerness monotones

Tobias Haug, Lorenzo Piroli

We study different aspects of the stabilizer entropies (SEs) and compare them against known nonstabilizerness monotones such as the min-relative entropy and the robustness of magic…

cond-mat.quant-gas2022★ 16 cited

Controlled flow of excitations in a ring-shaped network of Rydberg atoms

Francesco Perciavalle, Davide Rossini, Tobias Haug +2

Highly excited Rydberg atoms are a powerful platform for quantum simulation and information processing. Here, we propose atomic ring networks to study chiral currents of Rydberg ex…

quant-ph2022★ 124 cited

Quantifying nonstabilizerness of matrix product states

Tobias Haug, Lorenzo Piroli

Nonstabilizerness, also known as magic, quantifies the number of non-Clifford operations needed in order to prepare a quantum state. As typical measures either involve minimization…

cond-mat.quant-gas2022★ 11 cited

Atomtronic multi-terminal Aharonov-Bohm interferometer

Jonathan Wei Zhong Lau, Koon Siang Gan, Rainer Dumke +3

We study a multi-functional device for cold atoms consisting of a three-terminal ring circuit pierced by a synthetic magnetic flux, where the ring can be continuous or discretized.…

quant-ph2022★ 112 cited

Scalable measures of magic resource for quantum computers

Tobias Haug, M. S. Kim

Non-stabilizerness or magic resource characterizes the amount of non-Clifford operations needed to prepare quantum states. It is a crucial resource for quantum computing and a nece…

quant-ph2021★ 58 cited

Quantum machine learning of large datasets using randomized measurements

Tobias Haug, Chris N. Self, M. S. Kim

Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional d…

quant-ph2021★ 15 cited

Natural parameterized quantum circuit

Tobias Haug, M. S. Kim

Noisy intermediate scale quantum computers are useful for various tasks such as state preparation and variational quantum algorithms. However, the non-Euclidean quantum geometry of…

quant-ph2021★ 32 cited

Noisy intermediate-scale quantum algorithm for semidefinite programming

Kishor Bharti, Tobias Haug, Vlatko Vedral +1

Semidefinite programs (SDPs) are convex optimization programs with vast applications in control theory, quantum information, combinatorial optimization and operational research. No…

quant-ph2021★ 25 cited

Optimal training of variational quantum algorithms without barren plateaus

Tobias Haug, M. S. Kim

Variational quantum algorithms (VQAs) promise efficient use of near-term quantum computers. However, training VQAs often requires an extensive amount of time and suffers from the b…

quant-ph2021★ 1 cited

Fast-Forwarding with NISQ Processors without Feedback Loop

Kian Hwee Lim, Tobias Haug, Leong Chuan Kwek +1

Simulating quantum dynamics is expected to be performed more easily on a quantum computer than on a classical computer. However, the currently available quantum devices lack the ca…

quant-ph2021★ 6 cited

NISQ Algorithm for Hamiltonian Simulation via Truncated Taylor Series

Jonathan Wei Zhong Lau, Tobias Haug, Leong Chuan Kwek +1

Simulating the dynamics of many-body quantum systems is believed to be one of the first fields that quantum computers can show a quantum advantage over classical computers. Noisy i…

quant-ph2021★ 135 cited

Capacity and quantum geometry of parametrized quantum circuits

Tobias Haug, Kishor Bharti, M. S. Kim

To harness the potential of noisy intermediate-scale quantum devices, it is paramount to find the best type of circuits to run hybrid quantum-classical algorithms. Key candidates a…

quant-ph2021★ 1.8k cited

Noisy intermediate-scale quantum (NISQ) algorithms

Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw +11

A universal fault-tolerant quantum computer that can solve efficiently problems such as integer factorization and unstructured database search requires millions of qubits with low…

quant-ph2021★ 15 cited

Noisy intermediate scale quantum simulation of time dependent Hamiltonians

Jonathan Wei Zhong Lau, Kishor Bharti, Tobias Haug +1

Quantum computers are expected to help us to achieve accurate simulation of the dynamics of many-body quantum systems. However, the limitations of current NISQ devices prevents us…

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…