Solving intractable mathematical problems in simulators composed of atoms, ions, photons, or electrons has recently emerged as a subject of intense interest. We extend this concept to phonons that are localized in spectrally pure resonances in an electromechanical system that enables their interactions to be exquisitely fashioned via electrical means. We harness this platform to emulate the Ising Hamiltonian whose spin 1/2 particles are replicated by the phase bistable vibrations from the parametric resonances of multiple modes. The coupling between the mechanical spins is created by generating two-mode squeezed states, which impart correlations between modes that can imitate a random, ferromagnetic state or an antiferromagnetic state on demand. These results suggest that an electromechanical simulator could be built for the Ising Hamiltonian in a nontrivial configuration, namely, for a large number of spins with multiple degrees of coupling.
Solving intractable mathematical problems in simulators composed of atoms, ions, photons, or electrons has recently emerged as a subject of intense interest. We extend this concept to phonons that are localized in spectrally pure resonances in an electromechanical system that enables their interactions to be exquisitely fashioned via electrical means. We harness this platform to emulate the Ising Hamiltonian whose spin 1/2 particles are replicated by the phase bistable vibrations from the parametric resonances of multiple modes. The coupling between the mechanical spins is created by generating two-mode squeezed states, which impart correlations between modes that can imitate a random, ferromagnetic state or an antiferromagnetic state on demand. These results suggest that an electromechanical simulator could be built for the Ising Hamiltonian in a nontrivial configuration, namely, for a large number of spins with multiple degrees of coupling.
Physical simulators have emerged as a novel means for solving problems in quantum
physics that are beyond the capacity of classical computers (, ). This notion can also be applied to mathematical
problems, for example, the Ising Hamiltonian used in describing a spin glass, which is
characterized as a nondeterministic polynomial-time (NP)–hard problem (). However, despite this formidable
challenge, the ground-state spin configuration of an Ising system could yield solutions
to optimization problems that can be mapped onto its spin lattice, and thus, its
efficient extraction is highly desired (). One approach to rapidly determine the ground state of
the Ising Hamiltonian is to use quantum annealing where quantum tunneling is harnessed
to search the energy landscape corresponding to a given problem programmed into the
underlying spin lattice (–). Recently, an alternative and apparently classical
approach to this problem has emerged where a time-multiplexed optical parametric
resonator network is programmed with the Ising Hamiltonian. The ground state is then
determined by slowly activating the network, which preferentially resonates in its
global potential minima (, ). Here, a variation of this
concept is developed with phonons in a frequency-multiplexed electromechanical
parametric resonator (, ), and we show that this platform
could readily be extended to multiple parametric resonances with arbitrary degrees of
coupling, namely, all the ingredients necessary to solve the Ising Hamiltonian in a
nontrivial configuration (–).The Ising model conceived using the tools of statistical physics describes
ferromagnetism, and in the absence of a magnetic field, its Hamiltonian is given by
with N particles each having two spin
states σ = ± 1 where the coupling between the
ith and kth particles is parameterized by
J. In the first steps to building a
phonon-based simulator, the fundamentals of the Ising Hamiltonian need to be replicated
in the electromechanical domain, namely, a mechanical spin that encodes σ,
multiple mechanical spins that play the role of an N particle bath, and
finally coupling between the mechanical spins J whose magnitude and
polarity can be controlled and extended beyond nearest-neighbor particles.
RESULTS
Mapping the electromechanical system onto the Ising Hamiltonian
The prototype electromechanical system in which these concepts are investigated is
shown in Fig. 1 (see Materials and Methods), and
it consists of two strongly coupled mechanical beams that sustain symmetric
(S) and asymmetric (A) vibration modes at
ω/2π ≈ 298.4 kHz and
ω/2π ≈ 310.3 kHz with
bandwidths of Δω/2π ≈ 130 Hz
and Δω/2π ≈ 138 Hz,
respectively (). The
mechanical elements are integrated with piezoelectric transducers, which enable the
underlying harmonic potential of both modes to be parametrically modulated, leading
to a system Hamiltonian given bywhere the summation expresses the
kinetic and potential energies from both modes in terms of their position
q and canonically conjugate momentum
p (–). The potential energy term contains three
contributions, with the second contribution arising from the periodic modulation of
the mechanical spring constant with amplitude Γ
at twice the natural mode frequency, which yields degenerate parametric amplification
and parametric resonance (,
), and the third
contribution arising from the Duffing nonlinearity
β, a well-known anharmonicity that emerges at
large displacements ().
Γ can be experimentally activated by
modulating the spring constant of either mode with the application of voltage
V(2ω)
to induce stress from the piezoelectric transducers, and at sufficiently large
amplitude, it results in a parametric resonance as detailed in the Supplementary
Materials (, ). Projecting the parametric
resonances into phase space under pulsed driving, via the demodulation circuit in
Fig. 1 (which records the in-phase
Q and quadrature
P components of position),
reveals that they can vibrate with only two phases separated by π radians, as
shown in Fig. 2 (A and B) (, ). These phase bistable vibrations provide the ideal
means to encode a classical spin in the mechanical domain where the positive in-phase
component is defined as spin up, that is, σ = 1,
and vice versa as depicted by the arrows in Fig.
2 (A and B) (,
).
Fig. 1
The electromechanical system.
A false-color electron micrograph of the coupled mechanical resonators
sustaining phonons in symmetric and asymmetric vibration modes. The
measurements were performed at room temperature (300 K) and in a high vacuum
(10−6 mbar), and the mechanical vibrations were detected
using a laser interferometer, which was demodulated either in a spectrum
analyzer or in a phase-sensitive detector using the heterodyne mixing setup
detailed in the circuit schematic. Five signal generators were used, with two
piezoelectrically activating the parametric resonances at
2ω, two generating the reference
signals for the phase-sensitive detectors at
ω, and one creating the coupling between
the parametric resonances via parametric down-conversion when activated at
.
Fig. 2
Spins and spin coupling.
(A and B) The occupation probabilities of the
parametric resonances are measured by periodically switching on and off their
excitation with
V(2ω)
= 2.0 VPP and
V(2ω)
= 3.0 VPP, respectively, and measuring the resultant evolution of
their in-phase and quadrature components of motion. The phase portraits
reconstructed from this measurement, from 2000 samples, indicate that when a
parametric resonance is activated, each thermally occupied mode at the origin
evolves to one of the two available oscillating states (dashed ovals) with a
π phase separation via a single trajectory. When the parametric
resonance is deactivated, the oscillating mode returns to the origin via
another trajectory, which does not overlap with the upward trajectory (). (C and
D) Phase portraits corresponding to the thermal fluctuations of
the symmetric and asymmetric mode as a function of (black points) and 1.3 V (red and green
points, respectively). (E and F) The phase portraits
reconstructed from the in-phase component of one of the modes versus the
quadrature component of the other mode and vice versa, from the data in (C) and
(D), again as a function of (black points) and 1.3 VPP (blue
points), reveal squashed distributions, implying that the motion of both modes
has become correlated.
The electromechanical system.
A false-color electron micrograph of the coupled mechanical resonators
sustaining phonons in symmetric and asymmetric vibration modes. The
measurements were performed at room temperature (300 K) and in a high vacuum
(10−6 mbar), and the mechanical vibrations were detected
using a laser interferometer, which was demodulated either in a spectrum
analyzer or in a phase-sensitive detector using the heterodyne mixing setup
detailed in the circuit schematic. Five signal generators were used, with two
piezoelectrically activating the parametric resonances at
2ω, two generating the reference
signals for the phase-sensitive detectors at
ω, and one creating the coupling between
the parametric resonances via parametric down-conversion when activated at
.
Spins and spin coupling.
(A and B) The occupation probabilities of the
parametric resonances are measured by periodically switching on and off their
excitation with
V(2ω)
= 2.0 VPP and
V(2ω)
= 3.0 VPP, respectively, and measuring the resultant evolution of
their in-phase and quadrature components of motion. The phase portraits
reconstructed from this measurement, from 2000 samples, indicate that when a
parametric resonance is activated, each thermally occupied mode at the origin
evolves to one of the two available oscillating states (dashed ovals) with a
π phase separation via a single trajectory. When the parametric
resonance is deactivated, the oscillating mode returns to the origin via
another trajectory, which does not overlap with the upward trajectory (). (C and
D) Phase portraits corresponding to the thermal fluctuations of
the symmetric and asymmetric mode as a function of (black points) and 1.3 V (red and green
points, respectively). (E and F) The phase portraits
reconstructed from the in-phase component of one of the modes versus the
quadrature component of the other mode and vice versa, from the data in (C) and
(D), again as a function of (black points) and 1.3 VPP (blue
points), reveal squashed distributions, implying that the motion of both modes
has become correlated.The last term in Eq. 1 describes
nondegenerate parametric down-conversion from the pump with amplitude Λ at the sum frequency of both
modes , which results in the symmetric and asymmetric modes
becoming correlated, yielding a two-mode squeezed state (). Λ can be experimentally activated by
piezoelectrically pumping the spring constant of both modes with voltage
, which simultaneously amplifies their
thermomechanical fluctuations, as shown in Fig.
2 (C and D) ().
The concurrent generation of phonons in this process leads to the vibrations of both
modes becoming correlated, which can be identified by reconstructing their
cross-quadratures in phase space, namely, the in-phase component of the asymmetric
mode versus the quadrature component of the symmetric mode and vice versa, as shown
in Fig. 2 (E and F). The resultant squashed
distributions in phase space imply that the motion of both modes is perfectly
intertwined and is statistically confirmed by their unity correlation coefficient as
detailed in the Supplementary Materials ().These observations suggest that correlations generated between the two harmonic modes
from nondegenerate parametric down-conversion, as schematically depicted in Fig. 3A with Γ
= 0, and the double-well potential underpinning the phase bistable vibrations of a
parametric resonance (,
) provide all the
ingredients necessary to realizing a phonon-based simulator for the Ising
Hamiltonian. The key to implementing this vision is the ability to generate
correlations between the double-well potentials underlying the parametric resonances
from both modes through parametric down-conversion as visualized in Fig. 3A with Γ
≠ 0.
Fig. 3
Mechanical spin coupling.
(A) The pulse sequence used to demonstrate the fundamentals of the
Ising Hamiltonian in the electromechanical system and the corresponding
qualitative evolution of the underlying potentials from both modes. The
correlations generated by can be visualized as the synchronous motion of
the balls in the harmonic potentials of the symmetric (red) and asymmetric
(green) modes. As
V(2ω)
and
V(2ω)
are slowly ramped, the harmonic potentials start to evolve into double-well
potentials where the thermal energy in the system (in addition to dissipation)
can drive transitions between the two oscillation phases. Finally, when both
modes are parametrically resonating, their vibrations are correlated (that is,
they occupy the same potential minima) and frozen where the thermal
fluctuations are too small to destroy the phase of the vibrations.
(B) The temporal response of both modes to the above pulse
sequence with
V(2ω)
= 1.6 VPP and
V(2ω)
= 2.1 VPP when and 800 μVPP with the
mechanical spin orientations visualized by the arrows. (C) The
correlation coefficient extracted from the temporal response of both modes as a
function of (points) reveals a ferromagnetic state at large
pump amplitudes, but as it is reduced to zero, the spins become disordered with
a profile that is consistent with the Ising interaction between a pair of spins
(line) as detailed in Materials and Methods.
Mechanical spin coupling.
(A) The pulse sequence used to demonstrate the fundamentals of the
Ising Hamiltonian in the electromechanical system and the corresponding
qualitative evolution of the underlying potentials from both modes. The
correlations generated by can be visualized as the synchronous motion of
the balls in the harmonic potentials of the symmetric (red) and asymmetric
(green) modes. As
V(2ω)
and
V(2ω)
are slowly ramped, the harmonic potentials start to evolve into double-well
potentials where the thermal energy in the system (in addition to dissipation)
can drive transitions between the two oscillation phases. Finally, when both
modes are parametrically resonating, their vibrations are correlated (that is,
they occupy the same potential minima) and frozen where the thermal
fluctuations are too small to destroy the phase of the vibrations.
(B) The temporal response of both modes to the above pulse
sequence with
V(2ω)
= 1.6 VPP and
V(2ω)
= 2.1 VPP when and 800 μVPP with the
mechanical spin orientations visualized by the arrows. (C) The
correlation coefficient extracted from the temporal response of both modes as a
function of (points) reveals a ferromagnetic state at large
pump amplitudes, but as it is reduced to zero, the spins become disordered with
a profile that is consistent with the Ising interaction between a pair of spins
(line) as detailed in Materials and Methods.First, to theoretically confirm the viability of this approach, the above Hamiltonian
is transformed in the rotating-frame approximation with the introduction of a new
canonical position coordinate Q and a
conjugate momentum P, as detailed in
Materials and Methods, which yieldswhere the first term describes the
quasi-energy separating the two stable oscillation phases of the
parametric resonances at P = 0 and
with their two phases encoding
σ = ±1 (see the Supplementary
Materials) and the second term quantifies the coupling between the modes. This electromechanical system can
therefore be formally mapped onto the Ising Hamiltonian composed of two particles
with spins corresponding to the phase bistable parametric resonances of both modes,
which can be coupled via nondegenerate parametric down-conversion. This analysis also
reveals that the polarity of the coupling can be tuned by the pump phase ϕ
().
Experimental implementation and analysis
To verify this concept, the protocol depicted in Fig.
3A is developed where a two-mode thermally squeezed state is initially
created with as visualized by the correlated fluctuations of the
balls (signifying mechanical motion) in the harmonic potentials of the symmetric and
asymmetric modes. Next, both modes are simultaneously and slowly (that is, <<
Δω/2π and
Δω/2π) activated via
V(2ω),
which results in their harmonic potentials evolving to the double-well potentials of
their parametric resonance, as shown in Fig. 3A
with Γ ≠ 0, where the balls have now
stabilized in one of the two potential minima corresponding to either a spin up or a
spin down. In the slow transition from the harmonic to the double-well potentials, an
intermediate regime exists where thermal fluctuations (in addition to dissipation)
can drive transitions between the two oscillation phases, namely,
E <
kBT, where
kB is the Boltzmann constant and T is
the temperature, which can stimulate the search for the global potential minima in an
electromechanical Ising simulator. The spin information is then deleted by
deactivating both parametric resonances, and the protocol is repeated for 2000 s. The
spin information encoded in the two modes is identified by the polarity of the
in-phase component of their parametric resonance, and it yields a train of switching
outputs from both modes, with a period defined by this sequence, namely, 0.1 Hz, as
shown in Fig. 3A. Implementation of this
protocol over this duration provides a statistical ensemble from which the nature of
the correlation between the two mechanical spins can be reliably and quantitatively
evaluated.Experimentally, in the case when (peak-to-peak voltage), the outputs from the
symmetric and asymmetric modes reveal spin polarities, which are independent of each
other, implying the absence of coupling between them or, in other words,
J = 0 as shown in Fig. 3B. The corresponding correlation coefficient
extracted from this measurement is almost 0, as shown in Fig. 3C, which quantitatively confirms this observation. On the
other hand, implementing this sequence with yields the output shown in the lower panel of Fig. 3B, which reveals that the mechanical spins
always exhibit parallel alignment, namely, ferromagnetic coupling with
J >>
kBT. The corresponding correlation
coefficient confirms this observation, yielding a value of almost 1, as shown in
Fig. 3C. Next, implementing this protocol as
a function of pump amplitude and extracting the resultant correlation coefficients
yield the response shown in Fig. 3C. This
indicates that the ferromagnetic state can be controllably created by the pump, with
the corresponding correlation coefficient smoothly transitioning from 0 to 1 with a
profile that is consistent with correlations between two hypothetical spins
interacting via the Ising Hamiltonian (as detailed in Materials and Methods and shown
by the solid line in Fig. 3C). Consequently,
, namely, Λ, can convincingly play the role of
J in the electromechanical Ising
simulator.To control the sign of J in the
electromechanical Ising simulator, ϕ is adjusted as suggested by Eq. 2 and experimentally depicted in Fig. 1 (see the Supplementary Materials). To this
end, the protocol outlined in Fig. 3A is
reimplemented but now as a function of ϕ with , which ensures that the mechanical spins are
perfectly coupled, as shown in Fig. 3C. The
results of this measurement in terms of the extracted correlation coefficient are
shown in Fig. 4A, which reveal that it can be
continuously tuned from 1 to −1 crossing 0, where the latter two time series
are shown explicitly in Fig. 4B. In other words,
starting from a ferromagnetic state, the mechanical spins transition to an
antiferromagnetic state via an uncoupled state; that is, the
J →
−J operation can be executed
on demand via ϕ.
Fig. 4
The Ising Hamiltonian replicated with electromechanical phonons.
(A) The correlation coefficient extracted from the
electromechanical system’s temporal response to the pulse sequence in
Fig. 3A as a function of pump phase
(points) with . (B) As the phase is adjusted, the
correlated mechanical spins corresponding to a ferromagnetic state smoothly
transition first to a disordered state without any coupling corresponding to
random spin alignment (upper panel) and then to an anticorrelated state with
the spins exhibiting antiferromagnetic ordering (lower panel), with this
variation being consistent with the spin Ising interaction (line) as detailed
in Materials and Methods.
The Ising Hamiltonian replicated with electromechanical phonons.
(A) The correlation coefficient extracted from the
electromechanical system’s temporal response to the pulse sequence in
Fig. 3A as a function of pump phase
(points) with . (B) As the phase is adjusted, the
correlated mechanical spins corresponding to a ferromagnetic state smoothly
transition first to a disordered state without any coupling corresponding to
random spin alignment (upper panel) and then to an anticorrelated state with
the spins exhibiting antiferromagnetic ordering (lower panel), with this
variation being consistent with the spin Ising interaction (line) as detailed
in Materials and Methods.
DISCUSSION
Electro-optomechanical systems (, ) have emerged as a versatile platform where ultra-precise
sensors can be developed (,
), dynamically engineered
nonlinearities can be harnessed (, ), and quantum mechanics within a macroscopic context can
even be studied (–). The notion of solving
mathematical problems with phonons localized in spectrally pure resonances, which is
advanced here, offers a new chapter to the mechanical resonator narrative.The results detailed in Figs. 3 and 4 confirm that the requisite features of the Ising
Hamiltonian can be reproduced by phonons sustained by an electromechanical system.
However, this implementation with two mechanical modes is trivial, and therefore, it is
instructive to examine the prospects of a more useful Ising machine based on these
ideas, as visualized in Fig. 5. Here, an array of
mechanical elements with different frequencies are weakly mechanically coupled to their
neighbors (). The elements
encode spin information via the bistable phase of their piezoelectrically activated
parametric resonance in their fundamental mode, via the right clamping point, from where
this information can be programmed and read out (). The key difference here is that spin information
stored in a given mode is concentrated within each mechanical element in contrast to the
above demonstration. On the left clamping point, a coupling gate electrode is defined,
which interconnects the mechanical spins via piezoelectrically activated parametric
down-conversion at the sum frequency of two elements, for instance,
. Naturally, the reduced mechanical coupling between the
elements will require a more intense pump to compensate, which is readily available to
this architecture ().
Uniquely, in this scheme, each mechanical spin can then be easily coupled to all its
neighbors by using a frequency division–multiplexed (FDM) pump composed of
multiple sum frequencies, where the availability of arbitrary coupling between the
mechanical elements via the FDM pump is depicted in Fig.
5. The compact and highly flexible form of this coupling is in stark contrast
to the optical Ising machine, which requires delay lines that increase both in number
for more spins and in length for higher-order couplings (). The FDM piezoelectric pump, in principle, can enable
a large number of mechanical spins to sustain multiple degrees of coupling, thus
permitting the electromechanical Ising simulator to be programmed to explore problems
that challenge conventional computers. However, in practice, the ultimate number of
spins, with maximal coupling (that is, N2), will be limited
by the global coupling gate’s ability to sustain the sum of the
N2 coupling voltages before its Schottky barrier breaks
down and neutralizes the piezoelectric transduction.
Fig. 5
The electromechanical simulator.
A conceptual image of an electromechanical Ising machine based on phonons confined
in an array of mechanical elements each parametrically resonating to encode
classical spin information (red corresponds to spin up and green corresponds to
spin down) where two-mode squeezing is used to create coupling between elements.
The parametric resonances are piezoelectrically activated and read out via the
individual gate electrodes (orange) on each mechanical element where the
ith element has a natural frequency ωi. The
global gate electrode (yellow) located on the left clamping point of all the
mechanical elements can enable coupling between any pair of mechanical spins with
the application of a sum frequency pump. Using FDM, the pump can execute multiple
degrees of coupling between large numbers of spins, potentially enabling the Ising
Hamiltonian to be explored in a nontrivial configuration.
The electromechanical simulator.
A conceptual image of an electromechanical Ising machine based on phonons confined
in an array of mechanical elements each parametrically resonating to encode
classical spin information (red corresponds to spin up and green corresponds to
spin down) where two-mode squeezing is used to create coupling between elements.
The parametric resonances are piezoelectrically activated and read out via the
individual gate electrodes (orange) on each mechanical element where the
ith element has a natural frequency ωi. The
global gate electrode (yellow) located on the left clamping point of all the
mechanical elements can enable coupling between any pair of mechanical spins with
the application of a sum frequency pump. Using FDM, the pump can execute multiple
degrees of coupling between large numbers of spins, potentially enabling the Ising
Hamiltonian to be explored in a nontrivial configuration.Although this platform could probe NP-hard Ising problems (, ), it does not offer speed-up because it uses classical
annealing where the thermomechanical fluctuations of the mechanical elements drive the
search in the underlying potential energy landscape for the ground state. However, if
all the mechanical elements can be operated in their ground state, then quantum effects
could be potentially harnessed to explore the possibility of increasing the speed of
search (–). Alternatively, the universal
nature of this concept allows for it to be exploited by any kind of resonator, even from
superconductors that sustain both parametric resonances () and nondegenerate parametric down-conversion (), thus enabling the quantum
dynamics of this concept to be explored.
MATERIALS AND METHODS
Experimental
The electromechanical system was synthesized from a GaAs/AlGaAs heterostructure
sustaining a 100-nm-thick, uniformly doped GaAs layer located 300 nm below the
surface (shown in blue in Fig. 1) via
conventional micromachining processes (). The mechanical elements have a length, width, and
thickness of 80 μm, 20 μm, and 800 nm, respectively, which are strongly
intercoupled via two 40-μm-wide overhangs with the same thickness and a length
of 16 μm. Piezoelectric transducers were incorporated into the clamping points
of both mechanical elements, which are composed of the doped layer and gold
electrodes sandwiching an insulating GaAs/AlGaAs superlattice.The parametric resonances and nondegenerate parametric down-conversion were
piezoelectrically activated with multiple AC signal generators (NF Wave Factory 1974)
connected to the gold electrodes on the left element, as depicted in Fig. 1, which modulated the stress and hence the
spring constant of the symmetric and asymmetric modes. The thermal motion and the
parametric resonances of both modes were probed with a HeNe laser reflected from the
right mechanical element with a 3-μW input and detected in a Doppler
interferometer (Neoark MLD-221). The output from the interferometer was demodulated
either in a spectrum analyzer (Agilent 89410A) or in two phase-sensitive detectors
(Stanford Research Systems SR844) that were mixed with two local oscillators (NF Wave
Factory 1974) locked onto the resonances of both modes.
Theory
The Hamiltonian for a resonantly excited degenerate parametric oscillator with
natural frequency ω0 can be expressed as ()This Hamiltonian can be translated
into the rotating frame following the standard procedure () with the introduction of canonically
conjugate variables P and Q defined asThe effective Hamiltonian in these
variables is then given bywhere all the off-resonant and rapidly
oscillating terms have been omitted (). This Hamiltonian has two minima, extracted via
, atseparated by a saddle point at
P = Q = 0 (see the Supplementary Materials). At
steady state, the bistable oscillating states of the parametric resonator are
energetically degenerate with , and they can mimic a classical two-level or a spin
1/2 system via Q, as experimentally confirmed in Fig. 2 (A and B).The Hamiltonian for two degenerate parametric oscillators that are coupled via
nondegenerate parametric down-conversion is given in Eq. 1, and it can also be translated into the rotating frame via
Eq. 4, which yieldsIf the nondegenerate parametric
coupling strength Λ is weak (that is, in the amplification regime as detailed
in fig. S1C), then the steady state in Eq.
6 can be used to approximate the lowest-order solution yielding Eq. 2.
Correlations between spins
The theoretical correlations between two spins, whose interaction is mediated by the
Ising Hamiltonian, were evaluated to verify the experimental variation of the
correlation coefficient as a function of pump amplitude and phase to confirm the
viability of the electromechanical simulator. For a pair of spins, the probability of
finding a particular spin configuration is given bywhere the partition function is
defined aswith α =
1/kBT. The correlation between
nearest-neighbor spins can then be expressed aswhere this metric is analogous to the
correlation coefficient. This equation can reproduce the experimental response using
a fitting parameter defined as , which yields the line in Fig. 3C. This analysis reveals that as the pump intensity is
increased, a ferromagnetic state can be created, the activation of which is
consistent with the Ising Hamiltonian where the correlation generated via parametric
down-conversion competes with the random thermal fluctuations and is balanced at
, where
J =
kBT. A similar analysis can also be
performed as a function of pump phase with
Jcos(ϕ), yielding
〈σσ〉
= tanh(αJcos(ϕ)), which
reproduces the experimental result shown by the line in Fig. 4A.
Authors: Jasper Chan; T P Mayer Alegre; Amir H Safavi-Naeini; Jeff T Hill; Alex Krause; Simon Gröblacher; Markus Aspelmeyer; Oskar Painter Journal: Nature Date: 2011-10-05 Impact factor: 49.962
Authors: A D O'Connell; M Hofheinz; M Ansmann; Radoslaw C Bialczak; M Lenander; Erik Lucero; M Neeley; D Sank; H Wang; M Weides; J Wenner; John M Martinis; A N Cleland Journal: Nature Date: 2010-03-17 Impact factor: 49.962