Studying light-harvesting models with superconducting circuits

Potočnik, Anton; Bargerbos, Arno; Schröder, Florian A. Y. N.; Khan, Saeed Uz Zaman; Collodo, Michele C.; Gasparinetti, Simone; Salathé, Yves; Creatore, Celestino; Eichler, Christopher; Türeci, Hakan E.; Chin, Alex W.; Wallraff, Andreas

doi:10.1038/s41467-018-03312-x

Cited by 107 publications

(112 citation statements)

References 45 publications

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“…Moreover, the effect depends on the precise way the transfer from the network to the reaction center is modeled [19]. Recently, model experiments have started investigating ENAQT in small networks of photonic waveguides [20,21], classical electrical oscillators [22], and superconducting qubits [23,24]. Proposals exist also to analyse ENAQT in embedded Rydberg aggregates [25][26][27][28], where first studies on the quantum transport under dissipation have already been performed [29].…”

Section: Introductionmentioning

confidence: 99%

Trapped-ion quantum simulation of excitation transport: Disordered, noisy, and long-range connected quantum networks

Trautmann

Hauke

2018

Phys. Rev. A

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The transport of excitations governs fundamental properties of matter. Particularly rich physics emerges in the interplay between disorder and environmental noise, even in small systems such as photosynthetic biomolecules. Counterintuitively, noise can enhance coherent quantum transport, which has been proposed as a mechanism behind the high transport efficiencies observed in photosynthetic complexes. This effect has been called "environment-assisted quantum transport" (ENAQT). Here, we propose a quantum simulation of the excitation transport in an open quantum network, taking advantage of the high controllability of current trapped-ion experiments. Our scheme allows for the controlled study of various different aspects of the excitation transfer, ranging from the influence of static disorder and interaction range, over the effect of Markovian and non-Markovian dephasing, to the impact of a continuous insertion of excitations. Our proposal discusses experimental error sources and realistic parameters, showing that it can be implemented in state-of-the-art ion-chain experiments.

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Section: Introductionmentioning

confidence: 99%

Trapped-ion quantum simulation of excitation transport: Disordered, noisy, and long-range connected quantum networks

Trautmann

Hauke

2018

Phys. Rev. A

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“…(c) Analog quantum simulation: One-to-one mapping of the time evolution in the simulator and in the underlying model, see e.g. Ref (114,115)…”

mentioning

confidence: 99%

Superconducting Qubits: Current State of Play

Kjærgaard

Schwartz

Braumüller

et al. 2020

Annu. Rev. Condens. Matter Phys.

1,062

733

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Superconducting qubits are leading candidates in the race to build a quantum computer capable of realizing computations beyond the reach of modern supercomputers. The superconducting qubit modality has been used to demonstrate prototype algorithms in the 'noisy intermediate scale quantum' (NISQ) technology era, in which non-error-corrected qubits are used to implement quantum simulations and quantum algorithms. With the recent demonstrations of multiple high fidelity two-qubit gates as well as operations on logical qubits in extensible superconducting qubit systems, this modality also holds promise for the longer-term goal of building larger-scale error-corrected quantum computers. In this brief review, we discuss several of the recent experimental advances in qubit hardware, gate implementations, readout capabilities, early NISQ algorithm implementations, and quantum error correction using superconducting qubits. While continued work on many aspects of this technology is certainly necessary, the pace of both conceptual and technical progress in the last years has been impressive, and here we hope to convey the excitement stemming from this progress.

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“…Below, we demonstrate the potential for this mapping by simulating the quantum computation of the absorption spectrum of a large photoactive complex using MC-VQE. Note that we are not the first to propose a crossover between exciton models for photoactive complexes and spin-lattice models in qubits: there have been myriad prior studies using phenomenological exciton models to theoretically characterize [63][64][65] or physically simulate [66][67][68][69] the exciton energy transfer (EET) process in open systems such as the Fenna-Matthews-Olsen (FMO) complex. However, the emphasis in the prior literature has been on the modeling of the disappative non-adiabatic dynamics of EET through coupling with the protein/solvent environment in an effective way (via effective phonon coupling approaches such as the Holstein model).…”

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confidence: 99%

Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver

et al. 2019

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We develop an extension of the variational quantum eigensolver (VQE) algorithm -multistate, contracted VQE (MC-VQE) -that allows for the efficient computation of the transition energies between the ground state and several low-lying excited states of a molecule, as well as the oscillator strengths associated with these transitions. We numerically simulate MC-VQE by computing the absorption spectrum of an ab initio exciton model of an 18-chromophore light-harvesting complex from purple photosynthetic bacteria.The accurate modeling of the many-body interactions in the ground and excited-state solutions of the electronic Schrödinger equation is a prerequisite for the quantitative prediction of molecular physical phenomena such as light harvesting. Using classical computers, this problem scales formally as the factorial of the number of involved electrons [1], via the solution of the full configuration interaction (FCI) equations, though many polynomialscaling approximations such as density functional theory [2][3][4][5] (DFT), coupled cluster theory [6-9] (CC), density matrix renormalization group [10,11] (DMRG), adaptive and/or stochastic configuration interation methods [12][13][14][15][16][17][18] (CIPSI and variants), and semistochastic coupled cluster methods [19,20], have been developed to combat this problem. Recently, there has been a surge of interest in using quantum computers to naturally solve the many-body electronic structure problem through methods such as the iterative phase estimation algorithm [21][22][23][24][25][26] (IPEA) or the variational quantum eigensolver [27][28][29][30][31][32] (VQE), However, the quartic-scaling complexity in number of molecular orbitals of the second-quantized electronic Hamiltonian, coupled with the overhead of encoding the fermionic antisymmetry of the electrons through the Jordan-Wigner [33, 34] (JW), 36] (KB), or superfast Bravyi-Kitaev [37, 38] (SFKB) transformations, implies that rather long circuit depths will be required to directly model the electronic structure problem. We also point out a recent approach [39][40][41] that might formally reduce this complexity to quadratic or linear via a tensor hypercontraction representation [42][43][44] of the potential. In the present work, we explore a domain-and problem-specific means to reduce the complexity of the representation of the electronic structure problem in quantum computing: an ab initio exciton model [45][46][47][48][49]. For large-scale photoactive complexes consisting of a number of nonbonded chromophore units, the ab initio exciton model compresses the details of the electronic structure on each chromophore into a handful of monomer electronic states. The determination of the full configuration interaction wavefunctions describing the mixing of monomer electronic states in the full complex remains a formidable task -here we show that this might be a natural computational task for a nearterm quantum computer.Another area that deserves exploration is the development of efficient quantum algorithms for the ...

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Studying light-harvesting models with superconducting circuits

Cited by 107 publications

References 45 publications

Trapped-ion quantum simulation of excitation transport: Disordered, noisy, and long-range connected quantum networks

Trapped-ion quantum simulation of excitation transport: Disordered, noisy, and long-range connected quantum networks

Superconducting Qubits: Current State of Play

Quantum Computation of Electronic Transitions Using a Variational Quantum Eigensolver

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