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Abhinav Kandala

Researcher at IBM

Publications -  48
Citations -  7343

Abhinav Kandala is an academic researcher from IBM. The author has contributed to research in topics: Quantum computer & Qubit. The author has an hindex of 23, co-authored 42 publications receiving 4367 citations. Previous affiliations of Abhinav Kandala include Pennsylvania State University & Technische Universität München.

Papers
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Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

TL;DR: The experimental optimization of Hamiltonian problems with up to six qubits and more than one hundred Pauli terms is demonstrated, determining the ground-state energy for molecules of increasing size, up to BeH2.
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Supervised learning with quantum-enhanced feature spaces.

TL;DR: In this article, two quantum algorithms for machine learning on a superconducting processor are proposed and experimentally implemented, using a variational quantum circuit to classify the data in a way similar to the method of conventional SVMs.
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Error mitigation extends the computational reach of a noisy quantum processor

TL;DR: This work applies the error mitigation protocol to mitigate errors in canonical single- and two-qubit experiments and extends its application to the variational optimization of Hamiltonians for quantum chemistry and magnetism.
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Quantum optimization using variational algorithms on near-term quantum devices

TL;DR: In this article, a general description of variational algorithms is provided and the mapping from fermions to qubits is explained, and simple error-mitigation schemes are introduced that could improve the accuracy of determining ground-state energies.