Abstract
Under mild conditions the experimentally accessible Hamiltonians in ensembles of N coupled, nondegenerate spins-½ are shown to generate the entire Lie group SU(2 N ). This is the case e.g., in nuclear magnetic resonance (NMR) spectroscopy [1], where quantum computing gates [2] are implemented by unitary propagators, viz the ‘rf-pulse sequences’.
The maximum achievable coherence transfer amplitude under unitary Hamiltonian dynamics of ensembles translates into a minimum Euclidean distance: the minimal distance between the unitary orbit of some given initial state represented by a density operator (or its signal-relevant components collected in a matrix A) and a given final state or observable (or its components C †). This distance relates to the C-numerical range of A, W C(A) := {tr(UAU -1 C)|U ∈ SU(2N)}, and its largest absolute value, the C-numerical radius of A, \( r_C \left( A \right) : = \mathop {{\rm{max}}}\limits_U |tr\left\{ {U AU^{ - 1} C} \right\}|\left[ {\rm{3}} \right] \) [3]. The geometry of the C-numerical range includes as limiting cases the notions of ensembles comprising entangled as well as classically mixed components. In the latter, entropy and relative entropy relate to Euclidean distances.
Given two arbitrary matrices A,C ∈ Mat n (C), the first gradient-flow-based computer algorithm [4-6] for minimising the Euclidean distance between the unitary orbit of A and C † (or rather C) in the general case is presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R.R. Ernst, G. Bodenhausen, and A. Wokaun,Principles of NMR in One and Two Dimensions, Clarendon, Oxford, 1987.
M.A. Nielsen and I.L. Chuang,Quantum Computation and Quantum Information, Cambridge University Press, Cambridge, 2000.
M. Goldberg and E.G. Straus, Elementary inclusion relations for generalized numerical ranges,Lin. Alg. Appl. 18(1977), 1–24.
S.J. Glaser, T. Schulte-Herbrüggen, M. Sieveking, 0. Schedletzky, N.C. Nielsen, O.W. Sørensen, and C. Griesinger, Unitary control in quantum ensembles: maximizing signal intensity in coherent spectroscopy,Science 280 (1998), 421–424.
U. Helmke, K. Hüper, J.B. Moore, and T. Schulte-Herbrüggen, Gradient flows computing the C-numerical range with applications in NMR spectroscopy,J. Global Optim., in press, 2002. [Special issue: “Nonconvex Optimization in Control,” K.L. Teo, D. Li, and W.Y. Yan, eds.].
T. Schulte-Herbrüggen, Aspects and Prospects of High-Resolution NMR, Ph.D. Thesis, ETH Zurich, 1998. Diss. ETH No. 12752.
H. Primas,Chemistry, Quantum Mechanics and Reductionism, Springer, Heidelberg, 1983.
J. von Neumann,Mathematical Foundations of Quantum Mechanics, Princeton University Press, Princeton, 1955.
C.-K. Li, C-Numerical ranges and C-numerical radii,Lin. Multilin. Alg. 37 (1994), 51–82.
W.-S. Cheung and N.-K. Tsing, The C-numerical range of matrices is star-shaped,Lin. Multilin. Alg. 41 (1996), 245–250.
C.-K. Li and N.-K. Tsing, Matrices with circular symmetry on their unitary orbits and C-numerical ranges,Proc. Amer. Math. Soc. 111 (1991), 19–28.
R.A. Horn and C.A. Johnson,Topics in Matrix Analysis, Cambridge University Press, Cambridge, 1991.
J. von Neumann, Some matrix-inequalities and metrization of matrixspace, Tomsk Univ. Rev. 1 (1937), 286–300. [Reproduced in:John von Neumann: Collected Works, Vol. IV (A. H. Taub, ed.), Pergamon Press, Oxford, 1962, pp. 205–219.]
N. Khaneja and S.J. Glaser, Cartan decomposition of SU(2N), constructive controllability of spin systems and universal quantum computing,Chem. Phys. 267 (2001), 11–23. (e-print: quant-ph/0010100).
J. Aczl and Z. Daróczy,On Measures of Information and Their Characterizations, Academic Press, New York, 1975.
R.W. Brockett, Dynamical systems that sort lists, diagonalize matrices, and solve linear programming problems.In Proc. IEEE of the 27th Conference on Decision and Control, pp. 799–803, Austin, TX, 1988. See alsoLin. Alg. Appl.146 (1991), 79–91.
R.W. Brockett, Differential geometry and the design of gradient algorithms,Proc. Symp. Pure Math.54 (1993), 69–91.
U. Helmke and J.B. Moore,Optimization and Dynamical Systems, Springer, London, 1994.
O.W. Sørensen, Polarization transfer experiments in high-resolution NMR spectroscopy,Prog. NMR Spectrosc.21 (1989), 503–569.
O.W. Sørensen, The entropy bound as a limiting case of the universal bound on spin dynamics. Polarization transfer in In S m spin systems,J. Mag. Reson 93 (1991), 648–652.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
Schulte-Herbrüggen, T., Hüper, K., Helmke, U., Glaser, S.J. (2002). Geometry of Quantum Computing by Hamiltonian Dynamics of Spin Ensembles. In: Dorst, L., Doran, C., Lasenby, J. (eds) Applications of Geometric Algebra in Computer Science and Engineering. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0089-5_24
Download citation
DOI: https://doi.org/10.1007/978-1-4612-0089-5_24
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-6606-8
Online ISBN: 978-1-4612-0089-5
eBook Packages: Springer Book Archive