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Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm
by
Siddiqi, I.
, Ramasesh, V. V.
, Carter, J.
, Colless, J. I.
, Kimchi-Schwartz, M. E.
, Blok, M. S.
, McClean, J. R.
, Dahlen, D.
, de Jong, W. A.
in
Algorithms
/ CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
/ Energy spectra
/ Error correction
/ Excitation
/ Ground state
/ Hardware
/ Mathematical analysis
/ Microprocessors
/ Molecular spectra
/ Optimization
/ Processors
/ Quantum computers
/ Qubits (quantum computing)
/ Superconductivity
/ Wave functions
2018
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Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm
by
Siddiqi, I.
, Ramasesh, V. V.
, Carter, J.
, Colless, J. I.
, Kimchi-Schwartz, M. E.
, Blok, M. S.
, McClean, J. R.
, Dahlen, D.
, de Jong, W. A.
in
Algorithms
/ CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
/ Energy spectra
/ Error correction
/ Excitation
/ Ground state
/ Hardware
/ Mathematical analysis
/ Microprocessors
/ Molecular spectra
/ Optimization
/ Processors
/ Quantum computers
/ Qubits (quantum computing)
/ Superconductivity
/ Wave functions
2018
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Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm
by
Siddiqi, I.
, Ramasesh, V. V.
, Carter, J.
, Colless, J. I.
, Kimchi-Schwartz, M. E.
, Blok, M. S.
, McClean, J. R.
, Dahlen, D.
, de Jong, W. A.
in
Algorithms
/ CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
/ Energy spectra
/ Error correction
/ Excitation
/ Ground state
/ Hardware
/ Mathematical analysis
/ Microprocessors
/ Molecular spectra
/ Optimization
/ Processors
/ Quantum computers
/ Qubits (quantum computing)
/ Superconductivity
/ Wave functions
2018
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Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm
Journal Article
Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm
2018
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Overview
Harnessing the full power of nascent quantum processors requires the efficient management of a limited number of quantum bits with finite coherent lifetimes. Hybrid algorithms, such as the variational quantum eigensolver (VQE), leverage classical resources to reduce the required number of quantum gates. Experimental demonstrations of VQE have resulted in calculation of Hamiltonian ground states, and a new theoretical approach based on a quantum subspace expansion (QSE) has outlined a procedure for determining excited states that are central to dynamical processes. We use a superconducting-qubit-based processor to apply the QSE approach to theH2molecule, extracting both ground and excited states without the need for auxiliary qubits or additional minimization. Further, we show that this extended protocol can mitigate the effects of incoherent errors, potentially enabling larger-scale quantum simulations without the need for complex error-correction techniques.
Publisher
American Physical Society
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