Optimal Synthesis into RXX(theta)

qiskit/quantum_info/synthesis/rzx_decompose/__init__.py

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+# This code is part of Qiskit.
+#
+# (C) Copyright IBM 2021
+#
+# This code is licensed under the Apache License, Version 2.0. You may
+# obtain a copy of this license in the LICENSE.txt file in the root directory
+# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
+#
+# Any modifications or derivative works of this code must retain this
+# copyright notice, and modified files need to carry a notice indicating
+# that they have been altered from the originals.
+
+"""
+qiskit/quantum_info/synthesis/rzx_decompose/__init__.py
+
+Submodule symbol exports for RZX decomposition.
+"""
+
+from .decomposer import MonodromyZXDecomposer

qiskit/quantum_info/synthesis/rzx_decompose/circuits.py

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+# This code is part of Qiskit.
+#
+# (C) Copyright IBM 2021
+#
+# This code is licensed under the Apache License, Version 2.0. You may
+# obtain a copy of this license in the LICENSE.txt file in the root directory
+# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
+#
+# Any modifications or derivative works of this code must retain this
+# copyright notice, and modified files need to carry a notice indicating
+# that they have been altered from the originals.
+
+"""
+qiskit/quantum_info/synthesis/rzx_decompose/circuits.py
+
+Tools for building optimal circuits out of XX interactions.
+
+Inputs:
+ + A set of native XX operations, described as strengths.
+ + A right-angled path, computed using the methods in `xx_decompose/paths.py`.
+
+Output:
+ + A circuit which implements the target operation (expressed exactly as the exponential of
+ `a XX + b YY + c ZZ`) using the native operations and local gates.
+"""
+
+from functools import reduce
+import math
+from operator import itemgetter
+
+import numpy as np
+
+from qiskit.circuit.quantumcircuit import QuantumCircuit
+from qiskit.circuit.library.standard_gates import RXXGate, RYYGate, RZGate
+from qiskit.exceptions import QiskitError
+
+from .paths import decomposition_hop
+from .utilities import EPSILON, safe_arccos
+from .weyl import (
+    apply_reflection,
+    apply_shift,
+    canonical_rotation_circuit,
+    reflection_options,
+    shift_options,
+)
+
+
+# pylint:disable=invalid-name
+def decompose_xxyy_into_xxyy_xx(a_target, b_target, a_source, b_source, interaction):
+    """
+    Consumes a target canonical interaction CAN(a_target, b_target) and source interactions
+    CAN(a1, b1), CAN(a2), then manufactures a circuit identity of the form
+
+    CAN(a_target, b_target) = (Zr, Zs) CAN(a_source, b_source) (Zu, Zv) CAN(interaction) (Zx, Zy).
+
+    Returns the 6-tuple (r, s, u, v, x, y).
+    """
+
+    cplus, cminus = np.cos(a_source + b_source), np.cos(a_source - b_source)
+    splus, sminus = np.sin(a_source + b_source), np.sin(a_source - b_source)
+    ca, sa = np.cos(interaction), np.sin(interaction)
+
+    uplusv = (
+        1
+        / 2
+        * safe_arccos(
+            cminus ** 2 * ca ** 2 + sminus ** 2 * sa ** 2 - np.cos(a_target - b_target) ** 2,
+            2 * cminus * ca * sminus * sa,
+        )
+    )
+    uminusv = (
+        1
+        / 2
+        * safe_arccos(
+            cplus ** 2 * ca ** 2 + splus ** 2 * sa ** 2 - np.cos(a_target + b_target) ** 2,
+            2 * cplus * ca * splus * sa,
+        )
+    )
+
+    u, v = (uplusv + uminusv) / 2, (uplusv - uminusv) / 2
+
+    # NOTE: the target matrix is phase-free
+    middle_matrix = reduce(
+        np.dot,
+        [
+            RXXGate(2 * a_source).to_matrix() @ RYYGate(2 * b_source).to_matrix(),
+            np.kron(RZGate(2 * u).to_matrix(), RZGate(2 * v).to_matrix()),
+            RXXGate(2 * interaction).to_matrix(),
+        ],
+    )
+
+    phase_solver = np.array(
+        [
+            [
+                1 / 4,
+                1 / 4,
+                1 / 4,
+                1 / 4,
+            ],
+            [
+                1 / 4,
+                -1 / 4,
+                -1 / 4,
+                1 / 4,
+            ],
+            [
+                1 / 4,
+                1 / 4,
+                -1 / 4,
+                -1 / 4,
+            ],
+            [
+                1 / 4,
+                -1 / 4,
+                1 / 4,
+                -1 / 4,
+            ],
+        ]
+    )
+    inner_phases = [
+        np.angle(middle_matrix[0, 0]),
+        np.angle(middle_matrix[1, 1]),
+        np.angle(middle_matrix[1, 2]) + np.pi / 2,
+        np.angle(middle_matrix[0, 3]) + np.pi / 2,
+    ]
+    r, s, x, y = np.dot(phase_solver, inner_phases)
+
+    # If there's a phase discrepancy, need to conjugate by an extra Z/2 (x) Z/2.
+    generated_matrix = reduce(
+        np.dot,
+        [
+            np.kron(RZGate(2 * r).to_matrix(), RZGate(2 * s).to_matrix()),
+            middle_matrix,
+            np.kron(RZGate(2 * x).to_matrix(), RZGate(2 * y).to_matrix()),
+        ],
+    )
+    if (abs(np.angle(generated_matrix[3, 0]) - np.pi / 2) < 0.01 and a_target > b_target) or (
+        abs(np.angle(generated_matrix[3, 0]) + np.pi / 2) < 0.01 and a_target < b_target
+    ):
+        x += np.pi / 4
+        y += np.pi / 4
+        r -= np.pi / 4
+        s -= np.pi / 4
+
+    return r, s, u, v, x, y
+
+
+def xx_circuit_step(source, strength, target, embodiment):
+    """
+    Builds a single step in an XX-based circuit.
+
+    `source` and `target` are positive canonical coordinates; `strength` is the interaction strength
+    at this step in the circuit as a canonical coordinate (so that CX = RZX(pi/2) corresponds to
+    pi/4); and `embodiment` is a Qiskit circuit which enacts the canonical gate of the prescribed
+    interaction `strength`.
+    """
+
+    permute_source_for_overlap, permute_target_for_overlap = None, None
+
+    # apply all possible reflections, shifts to the source
+    for source_reflection_name in reflection_options:
+        reflected_source_coord, source_reflection, reflection_phase_shift = apply_reflection(
+            source_reflection_name, source
+        )
+        for source_shift_name in shift_options:
+            shifted_source_coord, source_shift, shift_phase_shift = apply_shift(
+                source_shift_name, reflected_source_coord
+            )
+
+            # check for overlap, back out permutation
+            source_shared, target_shared = None, None
+            for i, j in [(0, 0), (0, 1), (0, 2), (1, 0), (1, 1), (1, 2), (2, 0), (2, 1), (2, 2)]:
+
+                if (
+                    abs(np.mod(abs(shifted_source_coord[i] - target[j]), np.pi)) < EPSILON
+                    or abs(np.mod(abs(shifted_source_coord[i] - target[j]), np.pi) - np.pi)
+                    < EPSILON
+                ):
+                    source_shared, target_shared = i, j
+                    break
+            if source_shared is None:
+                continue
+
+            # pick out the other coordinates
+            source_first, source_second = [x for x in [0, 1, 2] if x != source_shared]
+            target_first, target_second = [x for x in [0, 1, 2] if x != target_shared]
+
+            # check for arccos validity
+            r, s, u, v, x, y = decompose_xxyy_into_xxyy_xx(
+                float(target[target_first]),
+                float(target[target_second]),
+                float(shifted_source_coord[source_first]),
+                float(shifted_source_coord[source_second]),
+                float(strength),
+            )
+            if any(math.isnan(val) for val in (r, s, u, v, x, y)):
+                continue
+
+            # OK: this combination of things works.
+            # save the permutation which rotates the shared coordinate into ZZ.
+            permute_source_for_overlap = canonical_rotation_circuit(source_first, source_second)
+            permute_target_for_overlap = canonical_rotation_circuit(target_first, target_second)
+            break
+
+        if permute_source_for_overlap is not None:
+            break
+
+    if permute_source_for_overlap is None:
+        raise QiskitError(
+            f"Error during RZX decomposition: Could not find a suitable Weyl "
+            f"reflection to match {source} to {target} along {strength}."
+        )
+
+    prefix_circuit, affix_circuit = QuantumCircuit(2), QuantumCircuit(2)
+
+    # the basic formula we're trying to work with is:
+    # target^p_t_f_o =
+    #     rs * (source^s_reflection * s_shift)^p_s_f_o * uv * operation * xy
+    # but we're rearranging it into the form
+    #   target = affix source prefix
+    # and computing just the prefix / affix circuits.
+
+    # the outermost prefix layer comes from the (inverse) target permutation.
+    prefix_circuit += permute_target_for_overlap.inverse()
+    # the middle prefix layer comes from the local Z rolls.
+    prefix_circuit.rz(2 * x, [0])
+    prefix_circuit.rz(2 * y, [1])
+    prefix_circuit.compose(embodiment, inplace=True)
+    prefix_circuit.rz(2 * u, [0])
+    prefix_circuit.rz(2 * v, [1])
+    # the innermost prefix layer is source_reflection, shifted by source_shift,
+    # finally conjugated by p_s_f_o.
+    prefix_circuit += permute_source_for_overlap
+    prefix_circuit += source_reflection
+    prefix_circuit.global_phase += -np.log(reflection_phase_shift).imag
+    prefix_circuit.global_phase += -np.log(shift_phase_shift).imag
+
+    # the affix circuit is constructed in reverse.
+    # first (i.e., innermost), we install the other half of the source transformations and p_s_f_o.
+    affix_circuit += source_reflection.inverse()
+    affix_circuit += source_shift
+    affix_circuit += permute_source_for_overlap.inverse()
+    # then, the other local rolls in the middle.
+    affix_circuit.rz(2 * r, [0])
+    affix_circuit.rz(2 * s, [1])
+    # finally, the other half of the p_t_f_o conjugation.
+    affix_circuit += permute_target_for_overlap
+
+    return {"prefix_circuit": prefix_circuit, "affix_circuit": affix_circuit}
+
+
+def canonical_xx_circuit(target, strength_sequence, basis_embodiments):
+    """
+    Assembles a QISKit circuit from a specified `strength_sequence` of XX-type interactions which
+    emulates the canonical gate at canonical coordinate `target`.  The circuits supplied by
+    `basis_embodiments` are used to instantiate the individual XX actions.
+
+    NOTE: The elements of `strength_sequence` are expected to be normalized so that np.pi/2
+        corresponds to RZX(np.pi/2) = CX; `target` is taken to be a positive canonical coordinate;
+        and `basis_embodiments` maps `strength_sequence` elements to circuits which instantiate
+        these gates.
+    """
+    # empty decompositions are easy!
+    if len(strength_sequence) == 0:
+        return QuantumCircuit(2)
+
+    # assemble the prefix / affix circuits
+    prefix_circuit, affix_circuit = QuantumCircuit(2), QuantumCircuit(2)
+    while len(strength_sequence) > 1:
+        source = decomposition_hop(target, strength_sequence)
+        strength = strength_sequence[-1]
+
+        preceding_prefix_circuit, preceding_affix_circuit = itemgetter(
+            "prefix_circuit", "affix_circuit"
+        )(xx_circuit_step(source, strength / 2, target, basis_embodiments[strength]))
+
+        prefix_circuit.compose(preceding_prefix_circuit, inplace=True)
+        affix_circuit.compose(preceding_affix_circuit, inplace=True, front=True)
+
+        target, strength_sequence = source, strength_sequence[:-1]
+
+    circuit = prefix_circuit
+
+    # lastly, deal with the "leading" gate.
+    if target[0] <= np.pi / 4:
+        circuit.compose(basis_embodiments[strength_sequence[0]], inplace=True)
+    else:
+        _, source_reflection, reflection_phase_shift = apply_reflection("reflect XX, YY", [0, 0, 0])
+        _, source_shift, shift_phase_shift = apply_shift("X shift", [0, 0, 0])
+
+        circuit += source_reflection
+        circuit.compose(basis_embodiments[strength_sequence[0]], inplace=True)
+        circuit += source_reflection.inverse()
+        circuit += source_shift
+        circuit.global_phase += -np.log(shift_phase_shift).imag
+        circuit.global_phase += -np.log(reflection_phase_shift).imag
+
+    circuit.compose(affix_circuit, inplace=True)
+
+    return circuit