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Quantum Information Processing with Low-Dimensional Systems
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Quantum Information Processing with
Low-Dimensional Systems
Alexander Yu. Vlasov
February 1, 2008
Abstract
A ‘register’ in quantum information processing — is composition
of k quantum systems, ‘qudits’. The dimensions of Hilbert spaces
for one qudit and whole quantum register are d and dk respectively,
but we should have possibility to prepare arbitrary entangled state of
these k systems. Preparation and arbitrary transformations of states
are possible with universal set of quantum gates and for any d may be
suggested such gates acting only on single systems and neighbouring
pairs. Here are revisited methods of construction of Hamiltonians for
such universal set of gates and as a concrete new example is considered
case with qutrits. Quantum tomography is also revisited briefly.
1 Introduction
Discrete quantum variables — are basic resource in quantum computing. A
qubit is described by two-dimensional Hilbert space and systems with higher
dimensions are also widely used [1].
Quantum mechanics with continuous variables may be more understand-
ing due to a correspondence principle. For example, after change of classical
momentum q and coordinate p to quantum operators q?, p? in simple Hamil-
tonians we almost directly may produce correct quantum description.
On the other hand, it is impossible to introduce the p?, q? operators for
system with finite-dimensional Hilbert space. Even if for large dimensions
d ? 2 the continuous case could be used as an approximate model of a
discrete system, it does not seem possible for low dimensions.
1
In 1928 Weyl suggested a method of quantization, appropriate both for
finite and infinite-dimensional case [2]. The basic idea — is to use instead
of operators of coordinate q? and momentum p? they exponents with pure
imaginary multipliers and instead of Heisenberg commutation relations to
write Weyl system
U? = eiαp?, V? = eiβq?, U? V? = eiαβV? U? . (1)
An analogue of
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