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In-Depth Information
If we let
T
is the relaxation time of a single qubit and
Δ
is the operation time of a
single logical gate, the figure of merit γ for computation can be defined as
= γ
[Haroche and Raimond, 1996], which is on the order of the number of qubits times the
number of gate operations. As a superposition state of the L-qubits system would cause
decoherence approximately
2
times faster than a superposition state of one qubit [Gea-
Banacloche, 2005], then the relaxation time of the L-qubits system can be roughly estimated
to be
T
Δ
t
−
2
times the relaxation time of a single qubit computation. Thus the minimum energy
required to perform quantum computation for the L-qubits system can be given from Eq.(11)
as
L
h
L
E
≈
G
T
2
L
(20)
0
where
ν
is the number of gate operations.
Similar to this equation, the minimum energy required to perform quantum computation
utilizing superluminal particle can be estimated as [Musha,2009]
h
ν
L
′
G
L
E
≈
2
(21)
0
β
(
β
−
1
T
0
E
=
, an increase of qubit size to perform computation by
superluminal evanescent photon compared with the conventional computation can be given
by
Supposing that
0
log
2
[
β
(
β
−
1
)]
Δ
L
≈
(22)
1
+
1
/
L
log
2
when satisfying
L
<Δ .
From which, we can estimate an increase of qubit size of the quantum computation
utilizing superluminal evanescent photons compared with the conventional computer system.
L
P
OSSIBILITY OF
Q
UANTUM
C
OMPUTATION
IN THE
B
IOLOGICAL
B
RAIN
From the high performance capabilities of quantum computation, there are many
researchers for explaining the higher performance of human brains, including consciousness.
As Feynman proposed that the optical computing network is the most realizable quantum
mechanical computer among many possibilities such as a superconducting computer and
Hameroff suggested that microtubles in the brain were acting as waveguides for photons and
as holographic processors [Jibu et al, 1994].
