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An up-to-date account of this cutting-edge research in a consistent and understandable framework, of special interest to experts in other areas of electronic structure and/or quantum many-body theory. It will serve equally well as a self-contained guide to learning about reduced density matrices either through self-study or in a classroom as well as an invaluable resource for understanding the critical advancements in the field.
About the Author
David A. Mazziotti is Assistant Professor in the Department of Chemistry at the University of Chicago. His current research interests lie at the intersection of chemistry, physics, biology, and applied mathematics with special interest in advanced electronic structure and quantum control theory.
An up-to-date account of this cutting-edge research in a consistent and understandable framework, of special interest to experts in other areas of electronic structure and/or quantum many-body theory. It will serve equally well as a self-contained guide to learning about reduced density matrices either through self-study or in a classroom as well as an invaluable resource for understanding the critical advancements in the field.
About the Author
David A. Mazziotti is Assistant Professor in the Department of Chemistry at the University of Chicago. His current research interests lie at the intersection of chemistry, physics, biology, and applied mathematics with special interest in advanced electronic structure and quantum control theory.
Stuart Rice is Frank P. Hixon Distinguished Service Professor in the James Franck Institute and the Department of Chemistry at the University of Chicago.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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cumulant decomposition, spectral optimization problem, determining quantum energies, geminal functional theory, reduced density matrix method, generalized normal ordering, reduced density matrix theory, density matrices with application, thermal entanglement, fermion density matrices, matrix variational theory, canonical diagonalization, cumulant formalism, normal order with respect, representability conditions, bottom eigenvalue, density cumulants, particle rank, nondynamic correlation, hull constraints, reduced density matrices, simultaneous bond breaking, canonical transformation theory, semidefinite programming algorithm, unitary decomposition Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Queen's University, Special Volume, John Coleman, Coulson's Challenge, Queen's Papers, Department of Chemistry, Coleman Symposium, N-particle Hamiltonian, Academic Press, N-representable Q-density, N-representability of the Q-matrix, Number of Purification Iterations Figure, N-representable Q-densities, Optimization Methods, Queen's Press, Several Test Systems, Cambridge University Press, Claude Garrod, Hans Kummer, Kluwer Academic, Lecture Notes, Number of Iterations Figure, Programming Ser New!
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cumulant decomposition, spectral optimization problem, determining quantum energies, geminal functional theory, reduced density matrix method, generalized normal ordering, reduced density matrix theory, density matrices with application, thermal entanglement, fermion density matrices, matrix variational theory, canonical diagonalization, cumulant formalism, normal order with respect, representability conditions, bottom eigenvalue, density cumulants, particle rank, nondynamic correlation, hull constraints, reduced density matrices, simultaneous bond breaking, canonical transformation theory, semidefinite programming algorithm, unitary decomposition Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, John Wiley, Queen's University, Special Volume, John Coleman, Coulson's Challenge, Queen's Papers, Department of Chemistry, Coleman Symposium, N-particle Hamiltonian, Academic Press, N-representable Q-density, N-representability of the Q-matrix, Number of Purification Iterations Figure, N-representable Q-densities, Optimization Methods, Queen's Press, Several Test Systems, Cambridge University Press, Claude Garrod, Hans Kummer, Kluwer Academic, Lecture Notes, Number of Iterations Figure, Programming Ser New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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