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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…
Graph-Theoretic Framework for Self-Testing in Bell Scenarios
Kishor Bharti, Maharshi Ray, Zhen-Peng Xu +3
Quantum self-testing is the task of certifying quantum states and measurements using the output statistics solely, with minimal assumptions about the underlying quantum system. It…
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…