Source code for qrisp.qtypes.quantum_bool
"""
\********************************************************************************
* Copyright (c) 2023 the Qrisp authors
*
* This program and the accompanying materials are made available under the
* terms of the Eclipse Public License 2.0 which is available at
* http://www.eclipse.org/legal/epl-2.0.
*
* This Source Code may also be made available under the following Secondary
* Licenses when the conditions for such availability set forth in the Eclipse
* Public License, v. 2.0 are satisfied: GNU General Public License, version 2
* with the GNU Classpath Exception which is
* available at https://www.gnu.org/software/classpath/license.html.
*
* SPDX-License-Identifier: EPL-2.0 OR GPL-2.0 WITH Classpath-exception-2.0
********************************************************************************/
"""
import sys
from qrisp.core.quantum_variable import QuantumVariable
[docs]
class QuantumBool(QuantumVariable):
"""
QuantumBools are the quantum type, which represents boolean truth values.
They are the return type of comparison operators like the equality ``==``.
Apart from their behavior as a QuantumVariable, they can also be treated like
:ref:`ControlEnvironments <ControlEnvironment>`.
.. note:
QuantumBools that are evaluated directly after a ``with`` statement are
uncomputed automatically upon leaving the ControlEnvironment.
Examples
--------
We create a QuantumBool and set it to uniform superposition
>>> from qrisp import QuantumBool, h
>>> q_bool_0 = QuantumBool()
>>> h(q_bool_0)
>>> print(q_bool_0)
{False: 0.5, True: 0.5}
We create a second QuantumBool and evaluate some logical functions
>>> q_bool_1 = QuantumBool()
>>> print(q_bool_1 | q_bool_0)
{False: 0.5, True: 0.5}
>>> print(q_bool_1 & q_bool_0)
{False: 1.0}
QuantumBools are the results of comparisons:
>>> from qrisp import QuantumFloat, QuantumChar
>>> q_ch = QuantumChar()
>>> q_ch[:] = {"g" : 1, "l" : -1}
>>> q_bool_2 = (q_ch == "g")
>>> q_bool_2.qs.statevector()
sqrt(2)*(|g>*|True> - |l>*|False>)/2
For :ref:`QuantumFloats <QuantumFloat>`, numeric comparison is also possible:
>>> qf = QuantumFloat(4)
>>> h(qf[3])
>>> print(qf)
{0: 0.5, 8: 0.5}
>>> q_bool_3 = (qf >= 4)
>>> print(q_bool_3)
{False: 0.5, True: 0.5}
To use a QuantumBool as a :ref:`ControlEnvironment`, we simply put it in a ``with``
statement:
::
with q_bool_3:
qf += 2
>>> print(qf)
{0: 0.5, 10: 0.5}
QuantumBools that are created directly after a ``with`` statement are uncomputed
automatically:
::
with qf == 10:
q_bool_3.flip()
>>> print(qf.qs)
::
QuantumCircuit:
--------------
┌────────────┐ ┌───────────┐
qf.0: ─────┤0 ├─────┤0 ├──o─────────o──
│ │ │ │ │ │
qf.1: ─────┤1 ├─────┤1 ├──■─────────■──
│ │ │ __iadd__ │ │ │
qf.2: ─────┤2 ├─────┤2 ├──o─────────o──
┌───┐│ less_than │ │ │ │ │
qf.3: ┤ H ├┤3 ├─────┤3 ├──■─────────■──
└───┘│ │┌───┐└─────┬─────┘ │ ┌───┐ │
lt_qbl.0: ─────┤4 ├┤ X ├──────■────────┼──┤ X ├──┼──
│ │└───┘ │ └─┬─┘ │
lt_ancilla.0: ─────┤5 ├────────────────────┼────┼────┼──
└────────────┘ ┌─┴─┐ │ ┌─┴─┐
cond_env.0: ─────────────────────────────────────┤ X ├──■──┤ X ├
└───┘ └───┘
Live QuantumVariables:
---------------------
QuantumFloat qf
QuantumBool lt_qbl
Note that there is only a single QuantumBool listed in the "Live QuantumVariables"
section, because the QuantumBool of the comparison
``qf == 10`` (called ``cond_env``) has been uncomputed.
"""
def __init__(self, qs=None, name=None):
QuantumVariable.__init__(self, 1, qs=qs, name=name)
self.qfloat_comparison = False
def decoder(self, integer):
return bool(integer)
def __and__(self, other):
from qrisp import mcx
and_qbl = QuantumBool()
mcx(self.reg + other.reg, and_qbl.reg)
return and_qbl
def __or__(self, other):
from qrisp import mcx, x
or_qbl = QuantumBool()
x(self)
x(other)
mcx(self.reg + other.reg, or_qbl.reg)
x(self)
x(other)
x(or_qbl)
return or_qbl
def __xor__(self, other):
from qrisp import cx
xor_qbl = QuantumBool()
cx(self, xor_qbl)
cx(other, xor_qbl)
return xor_qbl
[docs]
def flip(self):
"""
Flips the QuantumBool's value.
"""
from qrisp import x
x(self)
return self
def __invert__(self):
inverted_qbl = QuantumBool()
from qrisp import cx
cx(self, inverted_qbl)
inverted_qbl.flip()
return inverted_qbl
def __enter__(self):
from qrisp.environments import control
self.env = control(self)
self.env.__enter__()
def __exit__(self, a, b, c):
ref_count = sys.getrefcount(self)
# If the refcount is 5, this means that the QuantumBool has been
# created in a "with" statement and can therefore no longer be reached
# after exiting. We therefore uncompute
self.env.__exit__(a, b, c)
if ref_count == 5:
self.uncompute()
def __bool__(self):
raise Exception("Tried to convert QuantumBool to classical bool (probable due using the and + or keywords - try using & + | instead)")