Minimum hardware requirements for hybrid quantum–classical DMFT
暂无分享,去创建一个
Abhishek Agarwal | Dieter Jaksch | Ben Jaderberg | Karsten Leonhardt | Martin Kiffner | D. Jaksch | M. Kiffner | A. Agarwal | K. Leonhardt | Ben Jaderberg
[1] Philipp Werner,et al. Hybridization expansion impurity solver: General formulation and application to Kondo lattice and two-orbital models , 2006 .
[2] John Preskill,et al. Quantum Computing in the NISQ era and beyond , 2018, Quantum.
[3] Jun Li,et al. Hybrid Quantum-Classical Approach to Quantum Optimal Control. , 2016, Physical review letters.
[4] Matthias Troyer,et al. Continuous-time solver for quantum impurity models. , 2005, Physical review letters.
[5] Alán Aspuru-Guzik,et al. The theory of variational hybrid quantum-classical algorithms , 2015, 1509.04279.
[6] T. Bækkegaard,et al. Realization of efficient quantum gates with a superconducting qubit-qutrit circuit , 2018, Scientific Reports.
[7] Pavel Lougovski,et al. Quantum-classical simulation of two-site dynamical mean-field theory on noisy quantum hardware , 2019, Quantum Science and Technology.
[8] A. I. Lichtenstein,et al. Continuous-time quantum Monte Carlo method for fermions , 2005 .
[9] V.V. Shende,et al. Synthesis of quantum-logic circuits , 2006, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[10] D. Vollhardt,et al. Correlated Lattice Fermions in High Dimensions , 1989 .
[11] E. Wigner,et al. Über das Paulische Äquivalenzverbot , 1928 .
[12] Isaac L. Chuang,et al. Quantum Computation and Quantum Information (10th Anniversary edition) , 2011 .
[13] Charles H. Bennett,et al. Mixed-state entanglement and quantum error correction. , 1996, Physical review. A, Atomic, molecular, and optical physics.
[14] Matthew B. Hastings,et al. Hybrid quantum-classical approach to correlated materials , 2015, 1510.03859.
[15] Andrew W. Cross,et al. Validating quantum computers using randomized model circuits , 2018, Physical Review A.
[16] W. Krauth,et al. Dynamical mean-field theory of strongly correlated fermion systems and the limit of infinite dimensions , 1996 .
[17] E. Knill. Quantum computing with realistically noisy devices , 2005, Nature.
[18] Dmitri Maslov,et al. Experimental comparison of two quantum computing architectures , 2017, Proceedings of the National Academy of Sciences.
[19] J. Kinnunen,et al. Momentum-resolved spectroscopy of a Fermi liquid , 2014, Scientific Reports.
[20] B. Lanyon,et al. Towards quantum chemistry on a quantum computer. , 2009, Nature chemistry.
[21] Morten Kjaergaard,et al. Superconducting Qubits: Current State of Play , 2019, Annual Review of Condensed Matter Physics.
[22] Kunal Sharma,et al. Noise resilience of variational quantum compiling , 2019, New Journal of Physics.
[23] W. Wootters. Entanglement of Formation of an Arbitrary State of Two Qubits , 1997, quant-ph/9709029.
[24] M. Potthoff. Two-site dynamical mean-field theory , 2001 .
[25] R. Duncan,et al. Dynamical mean field theory algorithm and experiment on quantum computers , 2019 .
[26] Kristjan Haule. Quantum Monte Carlo impurity solver for cluster dynamical mean-field theory and electronic structure calculations with adjustable cluster base , 2007 .
[27] R. Pooser,et al. Cloud Quantum Computing of an Atomic Nucleus. , 2018, Physical Review Letters.
[28] M. Head‐Gordon,et al. Simulated Quantum Computation of Molecular Energies , 2005, Science.
[29] Ekkehard Lange. Renormalized Versus Unrenormalized Perturbation-Theoretical Approaches to the Mott Transition , 1998 .
[30] M. Benedetti,et al. Quantum circuit structure learning , 2019, 1905.09692.
[31] Ryan LaRose,et al. Quantum-assisted quantum compiling , 2018, Quantum.
[32] Jonathan Carter,et al. Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm , 2018 .
[33] Alán Aspuru-Guzik,et al. A variational eigenvalue solver on a photonic quantum processor , 2013, Nature Communications.
[34] Mikhail Smelyanskiy,et al. Practical optimization for hybrid quantum-classical algorithms , 2017, 1701.01450.
[35] Stefano Mancini,et al. Quantum stabilizer codes for correlated and asymmetric depolarizing errors , 2010, 1005.3374.
[36] Peter W. Shor,et al. Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer , 1995, SIAM Rev..
[37] P. Coveney,et al. Scalable Quantum Simulation of Molecular Energies , 2015, 1512.06860.
[38] S. R. Clark,et al. Non-linear quantum-classical scheme to simulate non-equilibrium strongly correlated fermionic many-body dynamics , 2015, Scientific Reports.
[39] Enrique Solano,et al. Few-qubit quantum-classical simulation of strongly correlated lattice fermions , 2016, 1606.04839.
[40] T. Monz,et al. Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator , 2018, Physical Review X.
[41] J. Gambetta,et al. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets , 2017, Nature.
[42] Marcos Rigol,et al. Observation of spatial charge and spin correlations in the 2D Fermi-Hubbard model , 2016, Science.
[43] J. Paz,et al. Quantum gate arrays can be programmed to evaluate the expectation value of any operator , 2003, quant-ph/0306143.
[44] Tyson Jones,et al. Quantum compilation and circuit optimisation via energy dissipation , 2018 .
[45] Travis S. Humble,et al. Quantum supremacy using a programmable superconducting processor , 2019, Nature.
[46] Seth Lloyd,et al. Universal Quantum Simulators , 1996, Science.
[47] Harper R. Grimsley,et al. An adaptive variational algorithm for exact molecular simulations on a quantum computer , 2018, Nature Communications.
[48] E. Wigner,et al. About the Pauli exclusion principle , 1928 .
[49] J. Hubbard. Electron correlations in narrow energy bands , 1963, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[50] M. Suzuki,et al. Generalized Trotter's formula and systematic approximants of exponential operators and inner derivations with applications to many-body problems , 1976 .