Fei Zhou1, Leilei Yan1,2, Shijie Gong1,2, Zhihao Ma3, Jiuzhou He1,2, Taiping Xiong1,2, Liang Chen1, Wanli Yang1, Mang Feng1,4, Vlatko Vedral5,6,7,8. 1. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China. 2. University of the Chinese Academy of Sciences, Beijing 100049, China. 3. Department of Mathematics, Shanghai Jiaotong University, Shanghai 200240, China. 4. Synergetic Innovation Center for Quantum Effects and Applications, Hunan Normal University, Changsha 410081, China. 5. Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, U.K. 6. Centre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore. 7. Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117551, Singapore. 8. Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China.
Abstract
Heisenberg's uncertainty relations have played an essential role in quantum physics since its very beginning. The uncertainty relations in the modern quantum formalism have become a fundamental limitation on the joint measurements of general quantum mechanical observables, going much beyond the original discussion of the trade-off between knowing a particle's position and momentum. Recently, the uncertainty relations have generated a considerable amount of lively debate as a result of the new inequalities proposed as extensions of the original uncertainty relations. We report an experimental test of one of the new Heisenberg's uncertainty relations using a single 40Ca+ ion trapped in a harmonic potential. By performing unitary operations under carrier transitions, we verify the uncertainty relation proposed by Busch, Lahti, and Werner (BLW) based on a general error-trade-off relation for joint measurements on two compatible observables. The positive operator-valued measure, required by the compatible observables, is constructed by single-qubit operations, and the lower bound of the uncertainty, as observed, is satisfied in a state-independent manner. Our results provide the first evidence confirming the BLW-formulated uncertainty at a single-spin level and will stimulate broad interests in various fields associated with quantum mechanics.
Heisenberg's uncertainty relations have played an essential role in quantum physics since its very beginning. The uncertainty relations in the modern quantum formalism have become a fundamental limitation on the joint measurements of general quantum mechanical observables, going much beyond the original discussion of the trade-off between knowing a particle's position and momentum. Recently, the uncertainty relations have generated a considerable amount of lively debate as a result of the new inequalities proposed as extensions of the original uncertainty relations. We report an experimental test of one of the new Heisenberg's uncertainty relations using a single 40Ca+ ion trapped in a harmonic potential. By performing unitary operations under carrier transitions, we verify the uncertainty relation proposed by Busch, Lahti, and Werner (BLW) based on a general error-trade-off relation for joint measurements on two compatible observables. The positive operator-valued measure, required by the compatible observables, is constructed by single-qubit operations, and the lower bound of the uncertainty, as observed, is satisfied in a state-independent manner. Our results provide the first evidence confirming the BLW-formulated uncertainty at a single-spin level and will stimulate broad interests in various fields associated with quantum mechanics.
Heisenberg’s uncertainty relation () is one of the cornerstones in understanding quantum
mechanics. In most textbooks, the uncertainty relation is quantified by the standard
deviations (SDs) of the measured variables, such as (where ħ is the Planck constant
divided by 2π), with and being the SDs of two noncommuting operators
and . This definition, which implies that the measurements of
and are performed on an ensemble of identically prepared
quantum systems, describes a preparation uncertainty (–), which is actually different from the original spirit
of Heisenberg’s idea. A correct understanding of Heisenberg’s uncertainty
relation should be based on the observer’s effect; that is, the accuracy of an
approximate position measurement is related to the disturbance of the particle’s
momentum (). This is a
measurement uncertainty, also called the error-disturbance relation (EDR). For the above
defined variables and , which are not restricted to describing the position and
momentum of a particle, Heisenberg’s EDR, as strictly proven recently (), is quantified as
, where is the measurement error of the observable
, and is the disturbance magnitude of
induced by the measurement.Both the preparation uncertainty and the measurement uncertainty (that is, EDR) have
been debated for years and generalized to be and , respectively. Although the former seems uncontroversial
(), which represents the
fundamental limit on the measurement statistics for any state preparation, the latter
was proven to be incorrect and can be violated experimentally (). Following this observation, there has been a
considerable amount of lively debate on uncertainty relations as a result of the new
inequalities for generalizing original ones (–). Ozawa (, ), Hall (), and Branciard () independently derived new inequalities for the EDR,
which were later experimentally verified with polarized neutrons (, ) and photons (–).The EDR implies the impossibility of simultaneously measuring two noncommuting variables
to arbitrary precision. That is, a simultaneous measurement, called joint measurement,
of and indicates the capability of measuring
without disturbing . Recently, Busch, Lahti, and Werner (BLW) have proposed
an idea for joint measurements of qubits, by which a general error–trade-off
relation is obtained as the uncertainty relation (, ). Because the joint measurement is available, one may
approximate this joint measurement to the unavailable joint measurement of the other two
operators, which follows the spirit of Heisenberg’s original idea in 1927, as
claimed in the BLW proposal. Specifically, two compatible observables
and are defined by Busch et al. (, ), which are noncommuting but own common eigenvectors.
Because they can be measured jointly, and are used to approximate two incompatible observables
and . The BLW scheme aims to find combined approximation
errors constrained by the incompatibility degree of the target observables
and (See Fig. 1 for a
conceptual understanding of the idea.). The combined approximation errors are considered
as the worst-case estimate of the inaccuracy, which are defined in the BLW proposal as
figures of merit characterizing the performance of the measuring device, rather than the
disturbance induced by the measurement. Meanwhile, different from the definition given
in previous studies (, , , ), the BLW error–trade-off relation can be
state-independent and provides a more reasonable bound of the measurement precision.
Fig. 1
Conceptual understanding of the BLW scheme for testing Heisenberg’s
EDR.
(A) Conceptual diagram of the BLW proposal. A joint measurement of
compatible observables and is carried out as an approximation of the
incompatible observables and , respectively. The Wasserstein distances
and satisfy the error–trade-off relation. We
emphasize that, in our experiment, and cannot be measured directly but can be obtained
from the positive operator-valued measure (POVM) operator G,
which is detected experimentally. (B) The Bloch vectors
a, b, c, and d,
corresponding to the observables , , , and , respectively, are plotted following the
implementation steps in our experiment with θin defined in the
text.
Conceptual understanding of the BLW scheme for testing Heisenberg’s
EDR.
(A) Conceptual diagram of the BLW proposal. A joint measurement of
compatible observables and is carried out as an approximation of the
incompatible observables and , respectively. The Wasserstein distances
and satisfy the error–trade-off relation. We
emphasize that, in our experiment, and cannot be measured directly but can be obtained
from the positive operator-valued measure (POVM) operator G,
which is detected experimentally. (B) The Bloch vectors
a, b, c, and d,
corresponding to the observables , , , and , respectively, are plotted following the
implementation steps in our experiment with θin defined in the
text.
RESULTS
The system and the scheme
We report experimental verification of Heisenberg’s EDR by a single trapped
40Ca+ ion, following the BLW proposal. The atomic ion is
confined in a harmonic trap, that is, within the Lamb-Dicke regime of a linear Paul
trap, with an axial frequency of ωz/2π = 1.01 MHz and a
radial frequency of ωr/2π = 1.2 MHz. We encode a qubit into
two electronic levels and , where mJ is the magnetic
quantum number (see Fig. 2A). Doppler cooling
and resolved-sideband cooling are performed mainly along the axial direction,
yielding the final average phonon number 0.1 along the axial direction with the Lamb-Dicke
parameter η ~0.09. Together with the optical pumping, the system is initially
prepared in . We carry out the unitary rotations between the two
encoded levels and implement projective measurement on by the electron shelving technique (see the
Supplementary Materials).
Fig. 2
A single trapped ion manipulated for testing Heisenberg’s
EDR.
(A) Relevant levels of the 40Ca+ ion and
transitions. We encode the qubit in and and denote them by and , respectively. A narrow-linewidth 729-nm laser
couples the two encoded states under carrier transitions. We monitor
fluorescence due to spontaneous decay from 4P1/2
for qubit readout. (B) Experimental implementation steps and the
corresponding states of the system in Bloch sphere. The ion is first
laser-cooled close to the vibrational ground state. The experiment starts from
the qubit state of and evolves to under the preparation pulse
UC(θ1, φ1),
with and φ1 = 0. Then, the
measurement of the expectation of the observables
, , and G is performed
by the measurement pulse UC(02,
φ2) (see Table 1
for values), followed by the detection on .
A single trapped ion manipulated for testing Heisenberg’s
EDR.
(A) Relevant levels of the 40Ca+ ion and
transitions. We encode the qubit in and and denote them by and , respectively. A narrow-linewidth 729-nm laser
couples the two encoded states under carrier transitions. We monitor
fluorescence due to spontaneous decay from 4P1/2
for qubit readout. (B) Experimental implementation steps and the
corresponding states of the system in Bloch sphere. The ion is first
laser-cooled close to the vibrational ground state. The experiment starts from
the qubit state of and evolves to under the preparation pulse
UC(θ1, φ1),
with and φ1 = 0. Then, the
measurement of the expectation of the observables
, , and G is performed
by the measurement pulse UC(02,
φ2) (see Table 1
for values), followed by the detection on .
Table 1
Scheme for the measurement pulses in experimental observation of the
inaccuracy of the error–trade-off relation for and .
A+
A−
B+
B−
G+,+
G+,−
G−,+
G−,−
θ2
π2
π2
0
π
2arcos(1+β2)
2arcos(1−β2)
2arcos(1+β2)
2arcos(1−β2)
φ2
0
π
0
0
0
0
π
π
Before presenting our experimental results, we first specify some important points in
our experimental scheme. We consider the positive operators and regarding and , respectively, where and are unit vectors and represents a vector associated with the usual Paul
matrices. To be jointly measurable, the compatible observables
and , as the approximation of and , own the positive operators and , which satisfy , and .The essential step of our execution is the joint measurement G on
the compatible observables and . In the study of Busch et al. (), G is
associated with the POVM operators G±,±
commonly owned by C± and
D± with the marginality relation
C± = G±,+ +
G±,− and
D± = G+,± +
G−,±. Generally speaking, the POVM can
be achieved in a qubit with the assistance of another auxiliary qubit, implying the
requirement of two qubits for implementing the operations. However, in our
experiment, we construct the POVMs by single-qubit operations, and thus, the BLW
scheme can be verified on a single qubit. To this end, the POVMs constructed are not
general but satisfy the restricted conditionwhich means that only some special
POVMs are achievable in the single-qubit system. The condition also implies that we
have to involve a prefactor Tr[G] in the measurement of the POVM
operator. Besides, in our ion trap system, the projective measurement is performed on
. Thus, we have to first rotate the POVMs unitarily to
be in line with before making the measurements.In a single-qubit system, for each POVM element operator
Gμ,ν (μ, ν = ±)
applied on a density operator ρ, the measurement result
pρ(Gμ,ν)
and the normalized density operator correspond, respectively, to
pρ(Gμ,ν)
= Tr[Gμ,νρ] and
with
∑μ,νGμ,ν
= 1. To simplify the description below, we rewrite
Gμ,ν as G by neglecting
the subscripts μ and ν. Defining a pure-state measurement basis
, we obtain a measurement M along the
same direction as satisfying and Tr[M] = Tr[G].
If there is a unitary operation U mapping G to
M with M =
UGU†, the density operator changes accordingly
as . Therefore, we reach important relations as
belowwhich are one-by-one mappings between the POVM and the
projective measurement on . Because no unitary transformation changes the rank
of an operator, the POVM operator G can be achieved by a
pure-state–relevant positive operator, strictly obeying the condition in Eq. 1.In our case with a single qubit consisting of the upper level
and the lower level , we assume that . Provided that is satisfied and the ranks of all the POVM operators
are units, the operators can be directly measured by combining a unitary operation
and a projective measurement on . In addition, the marginality relations between
G±,± and
C±, D± imply
that the condition of is equivalent to , that is, and , under which finding optimal approximations to
and are always available (see the Supplementary
Materials). In the trapped ion system, the unitary operators under the government of
carrier transitions are accomplished by tuning the evolution time and the laser phase
as explained in Fig. 2B. Thus, we obtain the
Wasserstein distances ()
between , and , , in association with Heisenberg’s EDR. Then,
we examine the maximal uncertainty for various states of the system and different
choices of and .In our implementation, we consider with A± =
(I ± σ)/2 and
with B± =
(I ± σ)/2. As the
approximation of and , the two compatible observables
and can be set as C± =
(I ± ασ)/2 and
D± = (I ±
βσ)/2, where α2 +
β2 = 1 is satisfied as a result of the requirement for unit rank
of the POVMs. In our case, C± and
D± are not directly measurable but are obtained
from the POVM operators G+,± = [I
+ ασ ±
βσ]/4 and
G−,± = [I −
ασ ±
βσ]/4. As clarified below, by using
the carrier transition and then making projective measurements on
, we can achieve measurements of the observables
A±, B±, and
G±,±.In the operations presented below, we define α = sin (θin)
and β = cos (θin) (Fig.
1B). For a state ρ, the error measure (, ) between and is estimated by the Wasserstein distance
(see Materials and Methods), and similarly, we have
for the difference between and . Heisenberg’s EDR for the pair of incompatible
observables is determined by maximizing the summation of the two Wasserstein
distances over all the possible states of the system withwhere the second equality holds when
the system is prepared in , with θ1 and φ1
defined in Fig. 2B, and the state-independent
lower bound of the uncertainty is reached at
. Equation
2 represents a worst-case estimate of the inaccuracy applicable to all
possible states.
Experimental observation
Under the rotating-wave approximation (see the Supplementary Materials), the
Hamiltonian of our case in units of ħ = 1 is given by
HC =
Ω(σ+e
+
σ−e−)/2
(), where Ω is
the Rabi frequency representing the laser-ion coupling strength,
σ± are the usual Pauli operators, and φ is the
laser phase. As shown in Fig. 2B, the experiment
starts from the state , and the system evolves under
UC(θ, φ), that is,with θ =
Ωt determined by the evolution time.To verify Heisenberg’s EDR, we vary α and β to reach the maximal
Wasserstein distance as in Eq. 2. The
first step is to prepare the state . We fix the laser phase φ1 and
steer the system under UC(θ1,
φ1) toward , which is tuned with the change of α and
β for an optimal value corresponding to the worst-case estimate of inaccuracy.
The operation is executed by a 729-nm laser coupling and for 2 to 3 μs (see details in the
Supplementary Materials). The second step is to measure the necessary observables
A±, B±, and
G±,±, which is achieved by another
evolution under UC(θ2,
φ2) and then a detection on the state . To this end, we first drive the
transition by the 729-nm laser following the scheme
in Table 1. Detection is then made by
reapplying the cooling lasers and counting the emitted photons for 4 ms by the
photomultiplier tube.A faithful observation requires a clear understanding of the operational
imperfections. From an effective period of Rabi oscillation, we estimate the error of
the initial-state preparation to be 3(1)% and the imperfection in the detection to be
0.35(2)% (the numbers in parentheses are the SEM). The radial thermal phonons cause a
dephasing-like behavior that yields an accumulative deviation in the evolution. All
these errors are experimentally determined, and the induced deviation can be
corrected. Hence, the Rabi oscillation under a π/2 pulse of
UC can reach a fidelity of 99.8(1)% (see the
Supplementary Materials), and thus, the observed data of , , , and demonstrate an excellent agreement with the
theoretical prediction. Errors, reflecting the fluctuation due to unstable laser
power and magnetic field, are calculated and included in the SD.Typical experimental data sets of , , , and are depicted in Fig.
3, which clearly demonstrate no possibility of good approximations of
to and to , simultaneously. Provided θin
→ π/2, we have , indicating the nearly perfect case for
approaching . However, in this case, we have
, implying that we cannot obtain any information about
. With θin away from π/2,
approaches , and meanwhile, turns out to be much different from
. The sum of their differences, reflecting the balance
between the two differences, reaches the minimum at θin =
π/4 (see the inset of Fig. 4).
Fig. 3
Experimental observation of the inaccuracy of the error–trade-off
relation for and .
(A and B) Experimental values of measuring the
positive operators of , , , and versus θin.
, , and are directly measured regarding
θ2 and φ2 given in Table 1, whereas and are obtained from by the marginality relation. The curves
represent the results of theoretical prediction. The error bars indicate SD
containing the statistical errors of 40,000 measurements for each data point as
well as the errors from unstable laser power and fluctuating magnetic
field.
Fig. 4
Experimental observation of the inaccuracy of the error–trade-off
relation for and .
The experimental data (filled squares) are determined by the data in Fig. 3. The solid curve represents the
theoretically predicted results of Δ(A,
C)2 and Δ(B,
D)2. The dashed line is plotted for the lower
bound of the uncertainty in theoretical prediction.
The inset shows the inaccuracy in variation of θin. The error
bars indicate SD containing the statistical errors of 40,000 measurements for
each data point as well as the errors from unstable laser power and fluctuating
magnetic field.
Experimental observation of the inaccuracy of the error–trade-off
relation for and .
(A and B) Experimental values of measuring the
positive operators of , , , and versus θin.
, , and are directly measured regarding
θ2 and φ2 given in Table 1, whereas and are obtained from by the marginality relation. The curves
represent the results of theoretical prediction. The error bars indicate SD
containing the statistical errors of 40,000 measurements for each data point as
well as the errors from unstable laser power and fluctuating magnetic
field.The experimental data (filled squares) are determined by the data in Fig. 3. The solid curve represents the
theoretically predicted results of Δ(A,
C)2 and Δ(B,
D)2. The dashed line is plotted for the lower
bound of the uncertainty in theoretical prediction.
The inset shows the inaccuracy in variation of θin. The error
bars indicate SD containing the statistical errors of 40,000 measurements for
each data point as well as the errors from unstable laser power and fluctuating
magnetic field.The error–trade-off relation is witnessed in Fig. 4 by the Wasserstein distances and , which are calculated by the experimental data in
Fig. 3. The observation fits the theoretical
prediction “when one is more precisely measured, the other is more
disturbed” very well. One cannot predict both outcomes of two incompatible
measurements to arbitrary precision. Because it results from the maximal Wasserstein
distances over all the possible states in the system, the observed
error–trade-off relation represents the state-independent inaccuracy and
reflects the essence of Heisenberg’s EDR.Because and in our case are maximally incompatible, the lower
bound of the uncertainty can reach , the minimum in Eq. 2. We plot this lower bound in Fig. 4 by the dashed line tangent to the state-independent curve of the
error–trade-off relation. The tangent point implies . It is worth noting that the error bars, which
dominantly resulted from the statistical deviation (due to quantum projection noise),
represent the largest valid range of the experimental observation, rather than the
true values allowed to be below the theoretically predicted lower bound of the
uncertainty. Besides, the error bars here are four times as long as those in Fig. 3, reflecting the maximum possible deviation
of statistics in measuring four variables (see Materials and Methods). More
measurements can shrink the error bars but could not present new physics with respect
to the 40,000 measurements performed here. Moreover, by fixing α and β,
but varying the state , we can obtain tangent curves below the
state-independent curve, which represent the error–trade-off relation with the
state dependence. This example, with , is illustrated in the Supplementary Materials.
Furthermore, extending our implementation to other Pauli operators, for example,
and , is straightforward and will result in the same EDR
as simply verified in Fig. 5. For this case, we
performed operations for optimal state preparation and measurement largely different
from those for and (see the Supplementary Materials) but obtained
similar EDRs. The similarity indicates the universality of Heisenberg’s
uncertainty relation.
Fig. 5
Experimental observation of the inaccuracy of the error–trade-off
relation for and .
The filled squares and the solid curve represent experimental data and
theoretically predicted results of Δ(A,
C)2 + Δ(B,
D)2, respectively. The dashed line is plotted
for the lower bound. The error bars indicate SD containing the statistical
errors of 40,000 measurements for each data point as well as the errors from
unstable laser power and fluctuating magnetic field.
The filled squares and the solid curve represent experimental data and
theoretically predicted results of Δ(A,
C)2 + Δ(B,
D)2, respectively. The dashed line is plotted
for the lower bound. The error bars indicate SD containing the statistical
errors of 40,000 measurements for each data point as well as the errors from
unstable laser power and fluctuating magnetic field.
DISCUSSION
Because modern technology has been progressing steadily toward the exploration of much
smaller objects, our operations, particularly measurements, confront the ultimate
quantum limits. As a result, Heisenberg’s uncertainty relation not only bounds
the accuracy of the operations available with current laboratory techniques but also
helps in understanding the very foundations of quantum mechanics. In quantum information
science, the uncertainty relations have already been used to prove the security of
quantum key distribution ()
and to explore the influence from quantum memory (). In this context, the use of information-theoretic
definitions, for example, entropic uncertainty relations () in terms of information, to quantify the
limited information gained on each observable might bring new insights into quantum
information theory. On the other hand, more in-depth research on the uncertainty
relation may also bring new insights into the foundations of quantum theory, such as a
deeper understanding of nonlocality (, ).We note that the BLW idea has stimulated broad interests in further exploring
error–trade-off relations, such as the optimal joint measurement in a geometric
manner () and possible joint
measurement for arbitrary observables of finite dimensional systems (). Because the inequality, as the
inaccuracy in the error–trade-off relation, is physically more specific than the
measurement uncertainty or the preparation uncertainty, the BLW idea can be readily
applied to further checking the security of quantum key distribution and the
nonlocality. In addition, the inequality in the BLW scheme is different from other
uncertainty relations (–). As a result, applying the BLW idea to quantum
information science as done for other inequalities, for example, in the studies of
Watanabe and Sagawa () and
Dressel and Nori (, ), will help in scrutinizing the
lowest bound among various uncertainty relations, which might optimize the available
information gained on each qubit.Our demonstration by a single ultracold trapped ion system is the first evidence to
confirm the BLW-formulated error–trade-off relation in a pure quantum system.
This is also an essential step toward understanding fundamental uncertainties of quantum
mechanical variables, the prerequisite of exploring limits of ultraprecision
measurements. Our experimental scheme is readily applicable to other trapped ion species
and single-spin systems for quantum information purposes. The idea of achieving POVMs in
a single-ion system will be applied to other quantum tasks, such as accurately testing
the inequalities in previous studies (, ) at the single-qubit level.
MATERIALS AND METHODS
Operation details
In our experiment, we demonstrated variation of the observables with respect to
α and β. Our operations included steering toward the state
by
UC(θ1, φ1) and
realizing the observables by UC(θ2,
φ2), followed by the detection on the state
. The step can be mathematically written
aswhere U =
UC(θ2,
φ2)UC(θ1,
φ1) and K = A,
B, G.The trace distance for a pair of observables E and
F, with (E− =
I − E+) and
(F− =
I − F+) applied on the state
, is given bywhere (J = E,
F) is the probability distribution. In the qubit case, the trace
distance was actually the Wasserstein distance defined in Busch et
al. () for
inaccuracies. Equation 5 shows that the
SD of the trace distance was four times that of the pi
observed.In our case, and where r
= sin θ1 cos φ1 and
r = − cos
θ1 (see the Supplementary Materials). The probability
distribution for the observables in the main text can be measured as in Eq. 4. Heisenberg’s EDR is
, where the maximum is reached by a state
prepared at and φ1 = 0. Here, we have to
mention that the we defined was slightly different from that in Busch
et al. (), which used the summation of the respective maximum
of and . We preferred to work with our formulation because of
the convenience in experimental implementation.
Numerical treatments
Numerical simulation was performed to fit the experimental observation and assess the
imperfection of experimental execution. The main deviations in our experiment came
from two aspects: thermal phonons from the radial direction yielding offsets of Rabi
oscillations and imperfection in qubit detection. For the former, an effective mean
deviation at different moments could be estimated by means of a fitting method (, ). This kind of mean deviation is nearly
constant and thus easily corrected. The detection error yielded a mean deviation of
0.35(2)% and could be calibrated by a practical method (). The statistical error in our experiment was
calculated by the Monte Carlo simulation with a peak value of 0.025. The decay and
dephasing times of the qubit were 1.1 s and 2 ms, respectively, whose detrimental
effects were negligible during the short periods (~ 8 μs) of our operations.
Other possible imperfections could also lead to small errors, such as fluctuations of
AC Stack shift due to power instability of the 729-nm laser and the fluctuating
magnetic field, which were assessed to be less than 2% from the Rabi oscillation and
included in the SD represented by the error bars.
Authors: Morgan M Weston; Michael J W Hall; Matthew S Palsson; Howard M Wiseman; Geoff J Pryde Journal: Phys Rev Lett Date: 2013-05-29 Impact factor: 9.161
Authors: Lee A Rozema; Ardavan Darabi; Dylan H Mahler; Alex Hayat; Yasaman Soudagar; Aephraim M Steinberg Journal: Phys Rev Lett Date: 2012-09-06 Impact factor: 9.161
Authors: Martin Ringbauer; Devon N Biggerstaff; Matthew A Broome; Alessandro Fedrizzi; Cyril Branciard; Andrew G White Journal: Phys Rev Lett Date: 2014-01-15 Impact factor: 9.161