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