def sx_operator(n_spatial_orbitals: int) -> FermionOperator:
r"""Return the sx operator.
$$
\begin{align}
S^{x} = \frac{1}{2}\sum_{i = 1}^{n}(S^{+} + S^{-})
\end{align}
$$
Args:
n_spatial_orbitals: number of spatial orbitals (n_qubits // 2).
Returns:
operator (FermionOperator): corresponding to the sx operator over
n_spatial_orbitals.
Note:
The indexing convention used is that even indices correspond to
spin-up (alpha) modes and odd indices correspond to spin-down (beta)
modes.
"""
if not isinstance(n_spatial_orbitals, int):
raise TypeError("n_orbitals must be specified as an integer")
operator = FermionOperator()
for ni in range(n_spatial_orbitals):
operator += FermionOperator(((up_index(ni), 1), (down_index(ni), 0)),
.5)
operator += FermionOperator(((down_index(ni), 1), (up_index(ni), 0)),
.5)
return operator
def sz_operator(n_spatial_orbitals: int) -> FermionOperator:
r"""Return the sz operator.
$$
\begin{align}
S^{z} = \frac{1}{2}\sum_{i = 1}^{n}(n_{i, \alpha} - n_{i, \beta})
\end{align}
$$
Args:
n_spatial_orbitals: number of spatial orbitals (n_qubits // 2).
Returns:
operator (FermionOperator): corresponding to the sz operator over
n_spatial_orbitals.
Note:
The indexing convention used is that even indices correspond to
spin-up (alpha) modes and odd indices correspond to spin-down (beta)
modes.
"""
if not isinstance(n_spatial_orbitals, int):
raise TypeError("n_orbitals must be specified as an integer")
operator = FermionOperator()
n_spinless_orbitals = 2 * n_spatial_orbitals
for ni in range(n_spatial_orbitals):
operator += (
number_operator(n_spinless_orbitals, up_index(ni), 0.5) +
number_operator(n_spinless_orbitals, down_index(ni), -0.5))
return operator
def s_minus_operator(n_spatial_orbitals: int) -> FermionOperator:
r"""Return the s+ operator.
.. math::
\begin{align}
S^{-} = \sum_{i=1}^{n} a_{i, \beta}^{\dagger}a_{i, \alpha}
\end{align}
Args:
n_spatial_orbitals: number of spatial orbitals (n_qubits + 1 // 2).
Returns:
operator (FermionOperator): corresponding to the s- operator over
n_spatial_orbitals.
Note:
The indexing convention used is that even indices correspond to
spin-up (alpha) modes and odd indices correspond to spin-down (beta)
modes.
"""
if not isinstance(n_spatial_orbitals, int):
raise TypeError("n_orbitals must be specified as an integer")
operator = FermionOperator()
for ni in range(n_spatial_orbitals):
operator += FermionOperator(((down_index(ni), 1), (up_index(ni), 0)))
return operator
def _spinful_fermi_hubbard_model(x_dimension, y_dimension, tunneling, coulomb,
chemical_potential, magnetic_field, periodic,
particle_hole_symmetry):
# Initialize operator.
n_sites = x_dimension * y_dimension
n_spin_orbitals = 2 * n_sites
hubbard_model = FermionOperator()
# Loop through sites and add terms.
for site in range(n_sites):
# Get indices of right and bottom neighbors
right_neighbor = _right_neighbor(site, x_dimension, y_dimension,
periodic)
bottom_neighbor = _bottom_neighbor(site, x_dimension, y_dimension,
periodic)
# Avoid double-counting edges when one of the dimensions is 2
# and the system is periodic
if x_dimension == 2 and periodic and site % 2 == 1:
right_neighbor = None
if y_dimension == 2 and periodic and site >= x_dimension:
bottom_neighbor = None
# Add hopping terms with neighbors to the right and bottom.
if right_neighbor is not None:
hubbard_model += _hopping_term(up_index(site),
up_index(right_neighbor),
-tunneling)
hubbard_model += _hopping_term(down_index(site),
down_index(right_neighbor),
-tunneling)
if bottom_neighbor is not None:
hubbard_model += _hopping_term(up_index(site),
up_index(bottom_neighbor),
-tunneling)
hubbard_model += _hopping_term(down_index(site),
down_index(bottom_neighbor),
-tunneling)
# Add local pair Coulomb interaction terms.
hubbard_model += _coulomb_interaction_term(n_spin_orbitals,
up_index(site),
down_index(site), coulomb,
particle_hole_symmetry)
# Add chemical potential and magnetic field terms.
hubbard_model += number_operator(n_spin_orbitals, up_index(site),
-chemical_potential - magnetic_field)
hubbard_model += number_operator(n_spin_orbitals, down_index(site),
-chemical_potential + magnetic_field)
return hubbard_model
def mean_field_dwave(x_dimension,
y_dimension,
tunneling,
sc_gap,
chemical_potential=0.,
periodic=True):
r"""Return symbolic representation of a BCS mean-field d-wave Hamiltonian.
The Hamiltonians of this model live on a grid of dimensions
`x_dimension` x `y_dimension`.
The grid can have periodic boundary conditions or not.
Each site on the grid can have an "up" fermion and a "down" fermion.
Therefore, there are a total of `2N` spin-orbitals,
where `N = x_dimension * y_dimension` is the number of sites.
The Hamiltonian for this model has the form
.. math::
\begin{align}
H = &- t \sum_{\langle i,j \rangle} \sum_\sigma
(a^\dagger_{i, \sigma} a_{j, \sigma} +
a^\dagger_{j, \sigma} a_{i, \sigma})
- \mu \sum_i \sum_{\sigma} a^\dagger_{i, \sigma} a_{i, \sigma}
\\
&- \sum_{\langle i,j \rangle} \Delta_{ij}
(a^\dagger_{i, \uparrow} a^\dagger_{j, \downarrow} -
a^\dagger_{i, \downarrow} a^\dagger_{j, \uparrow} +
a_{j, \downarrow} a_{i, \uparrow} -
a_{j, \uparrow} a_{i, \downarrow})
\end{align}
where
- The indices :math:`\langle i, j \rangle` run over pairs
:math:`i` and :math:`j` of sites that are connected to each other
in the grid
- :math:`\sigma \in \{\uparrow, \downarrow\}` is the spin
- :math:`t` is the tunneling amplitude
- :math:`\Delta_{ij}` is equal to :math:`+\Delta/2` for
horizontal edges and :math:`-\Delta/2` for vertical edges,
where :math:`\Delta` is the superconducting gap.
- :math:`\mu` is the chemical potential
Args:
x_dimension (int): The width of the grid.
y_dimension (int): The height of the grid.
tunneling (float): The tunneling amplitude :math:`t`.
sc_gap (float): The superconducting gap :math:`\Delta`
chemical_potential (float, optional): The chemical potential
:math:`\mu` at each site. Default value is 0.
periodic (bool, optional): If True, add periodic boundary conditions.
Default is True.
Returns:
mean_field_dwave_model: An instance of the FermionOperator class.
"""
# Initialize fermion operator class.
n_sites = x_dimension * y_dimension
n_spin_orbitals = 2 * n_sites
mean_field_dwave_model = FermionOperator()
# Loop through sites and add terms.
for site in range(n_sites):
# Add chemical potential
mean_field_dwave_model += number_operator(n_spin_orbitals,
up_index(site),
-chemical_potential)
mean_field_dwave_model += number_operator(n_spin_orbitals,
down_index(site),
-chemical_potential)
# Index coupled orbitals.
right_neighbor = site + 1
bottom_neighbor = site + x_dimension
# Account for periodic boundaries.
if periodic:
if (x_dimension > 2) and ((site + 1) % x_dimension == 0):
right_neighbor -= x_dimension
if (y_dimension > 2) and (site + x_dimension + 1 > n_sites):
bottom_neighbor -= x_dimension * y_dimension
# Add transition to neighbor on right
if (site + 1) % x_dimension or (periodic and x_dimension > 2):
# Add spin-up hopping term.
operators = ((up_index(site), 1), (up_index(right_neighbor), 0))
hopping_term = FermionOperator(operators, -tunneling)
mean_field_dwave_model += hopping_term
mean_field_dwave_model += hermitian_conjugated(hopping_term)
# Add spin-down hopping term
operators = ((down_index(site), 1), (down_index(right_neighbor),
0))
hopping_term = FermionOperator(operators, -tunneling)
mean_field_dwave_model += hopping_term
mean_field_dwave_model += hermitian_conjugated(hopping_term)
# Add pairing term
operators = ((up_index(site), 1), (down_index(right_neighbor), 1))
pairing_term = FermionOperator(operators, sc_gap / 2.)
operators = ((down_index(site), 1), (up_index(right_neighbor), 1))
pairing_term += FermionOperator(operators, -sc_gap / 2.)
mean_field_dwave_model -= pairing_term
mean_field_dwave_model -= hermitian_conjugated(pairing_term)
# Add transition to neighbor below.
if site + x_dimension + 1 <= n_sites or (periodic and y_dimension > 2):
# Add spin-up hopping term.
operators = ((up_index(site), 1), (up_index(bottom_neighbor), 0))
hopping_term = FermionOperator(operators, -tunneling)
mean_field_dwave_model += hopping_term
mean_field_dwave_model += hermitian_conjugated(hopping_term)
# Add spin-down hopping term
operators = ((down_index(site), 1), (down_index(bottom_neighbor),
0))
hopping_term = FermionOperator(operators, -tunneling)
mean_field_dwave_model += hopping_term
mean_field_dwave_model += hermitian_conjugated(hopping_term)
# Add pairing term
operators = ((up_index(site), 1), (down_index(bottom_neighbor), 1))
pairing_term = FermionOperator(operators, -sc_gap / 2.)
operators = ((down_index(site), 1), (up_index(bottom_neighbor), 1))
pairing_term += FermionOperator(operators, sc_gap / 2.)
mean_field_dwave_model -= pairing_term
mean_field_dwave_model -= hermitian_conjugated(pairing_term)
# Return.
return mean_field_dwave_model
def uccsd_singlet_get_packed_amplitudes(single_amplitudes, double_amplitudes,
n_qubits, n_electrons):
r"""Convert amplitudes for use with singlet UCCSD
The output list contains only those amplitudes that are relevant to
singlet UCCSD, in an order suitable for use with the function
`uccsd_singlet_generator`.
Args:
single_amplitudes(ndarray): [NxN] array storing single excitation
amplitudes corresponding to t[i,j] * (a_i^\dagger a_j - H.C.)
double_amplitudes(ndarray): [NxNxNxN] array storing double
excitation amplitudes corresponding to
t[i,j,k,l] * (a_i^\dagger a_j a_k^\dagger a_l - H.C.)
n_qubits(int): Number of spin-orbitals used to represent the system,
which also corresponds to number of qubits in a non-compact map.
n_electrons(int): Number of electrons in the physical system.
Returns:
packed_amplitudes(list): List storing the unique single
and double excitation amplitudes for a singlet UCCSD operator.
The ordering lists unique single excitations before double
excitations.
"""
n_spatial_orbitals = n_qubits // 2
n_occupied = int(numpy.ceil(n_electrons / 2))
n_virtual = n_spatial_orbitals - n_occupied
singles = []
doubles_1 = []
doubles_2 = []
# Get singles and doubles amplitudes associated with one
# spatial occupied-virtual pair
for p, q in itertools.product(range(n_virtual), range(n_occupied)):
# Get indices of spatial orbitals
virtual_spatial = n_occupied + p
occupied_spatial = q
# Get indices of spin orbitals
virtual_up = up_index(virtual_spatial)
virtual_down = down_index(virtual_spatial)
occupied_up = up_index(occupied_spatial)
occupied_down = down_index(occupied_spatial)
# Get singles amplitude
# Just get up amplitude, since down should be the same
singles.append(single_amplitudes[virtual_up, occupied_up])
# Get doubles amplitude
doubles_1.append(double_amplitudes[virtual_up, occupied_up,
virtual_down, occupied_down])
# Get doubles amplitudes associated with two spatial occupied-virtual pairs
for (p, q), (r, s) in itertools.combinations(
itertools.product(range(n_virtual), range(n_occupied)), 2):
# Get indices of spatial orbitals
virtual_spatial_1 = n_occupied + p
occupied_spatial_1 = q
virtual_spatial_2 = n_occupied + r
occupied_spatial_2 = s
# Get indices of spin orbitals
# Just get up amplitudes, since down and cross terms should be the same
virtual_1_up = up_index(virtual_spatial_1)
occupied_1_up = up_index(occupied_spatial_1)
virtual_2_up = up_index(virtual_spatial_2)
occupied_2_up = up_index(occupied_spatial_2)
# Get amplitude
doubles_2.append(double_amplitudes[virtual_1_up, occupied_1_up,
virtual_2_up, occupied_2_up])
return singles + doubles_1 + doubles_2