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QuantumComputer.py
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QuantumComputer.py
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#!/usr/bin/env python
# Author: corbett@caltech.edu
import numpy as np
import unittest
import re
import random
import itertools
from functools import reduce
from math import sqrt,pi,e,log
import time
####
## Gates
####
class Gate(object):
i_=np.complex(0,1)
## One qubit gates
# Hadamard gate
H=1./sqrt(2)*np.matrix('1 1; 1 -1')
# Pauli gates
X=np.matrix('0 1; 1 0')
Y=np.matrix([[0, -i_],[i_, 0]])
Z=np.matrix([[1,0],[0,-1]])
# Defined as part of the Bell state experiment
W=1/sqrt(2)*(X+Z)
V=1/sqrt(2)*(-X+Z)
# Other useful gates
eye=np.eye(2,2)
S=np.matrix([[1,0],[0,i_]])
Sdagger=np.matrix([[1,0],[0,-i_]]) # convenience Sdagger = S.conjugate().transpose()
T=np.matrix([[1,0],[0, e**(i_*pi/4.)]])
Tdagger=np.matrix([[1,0],[0, e**(-i_*pi/4.)]]) # convenience Tdagger= T.conjugate().transpose()
# TODO: for CNOT gates define programatically instead of the more manual way below
## Two qubit gates
# CNOT Gate (control is qubit 0, target qubit 1), this is the default CNOT gate
CNOT2_01=np.matrix('1 0 0 0; 0 1 0 0; 0 0 0 1; 0 0 1 0')
# control is qubit 1 target is qubit 0
CNOT2_10=np.kron(H,H)*CNOT2_01*np.kron(H,H) #=np.matrix('1 0 0 0; 0 0 0 1; 0 0 1 0; 0 1 0 0')
# operates on 2 out of 3 entangled qubits, control is first subscript, target second
CNOT3_01=np.kron(CNOT2_01,eye)
CNOT3_10=np.kron(CNOT2_10,eye)
CNOT3_12=np.kron(eye,CNOT2_01)
CNOT3_21=np.kron(eye,CNOT2_10)
CNOT3_02=np.matrix('1 0 0 0 0 0 0 0; 0 1 0 0 0 0 0 0; 0 0 1 0 0 0 0 0; 0 0 0 1 0 0 0 0; 0 0 0 0 0 1 0 0; 0 0 0 0 1 0 0 0; 0 0 0 0 0 0 0 1; 0 0 0 0 0 0 1 0')
CNOT3_20=np.matrix('1 0 0 0 0 0 0 0; 0 0 0 0 0 1 0 0; 0 0 1 0 0 0 0 0; 0 0 0 0 0 0 0 1; 0 0 0 0 1 0 0 0; 0 1 0 0 0 0 0 0; 0 0 0 0 0 0 1 0; 0 0 0 1 0 0 0 0')
# operates on 2 out of 4 entangled qubits, control is first subscript, target second
CNOT4_01=np.kron(CNOT3_01,eye)
CNOT4_10=np.kron(CNOT3_10,eye)
CNOT4_12=np.kron(CNOT3_12,eye)
CNOT4_21=np.kron(CNOT3_21,eye)
CNOT4_13=np.kron(eye,CNOT3_02)
CNOT4_31=np.kron(eye,CNOT3_20)
CNOT4_02=np.kron(CNOT3_02,eye)
CNOT4_20=np.kron(CNOT3_20,eye)
CNOT4_23=np.kron(eye,CNOT3_12)
CNOT4_32=np.kron(eye,CNOT3_21)
CNOT4_03=np.eye(16,16)
CNOT4_03[np.array([8,9])]=CNOT4_03[np.array([9,8])]
CNOT4_03[np.array([10,11])]=CNOT4_03[np.array([11,10])]
CNOT4_03[np.array([12,13])]=CNOT4_03[np.array([13,12])]
CNOT4_03[np.array([14,15])]=CNOT4_03[np.array([15,14])]
CNOT4_30=np.eye(16,16)
CNOT4_30[np.array([1,9])]=CNOT4_30[np.array([9,1])]
CNOT4_30[np.array([3,11])]=CNOT4_30[np.array([11,3])]
CNOT4_30[np.array([5,13])]=CNOT4_30[np.array([13,5])]
CNOT4_30[np.array([7,15])]=CNOT4_30[np.array([15,7])]
# operates on 2 out of 5 entangled qubits, control is first subscript, target second
CNOT5_01=np.kron(CNOT4_01,eye)
CNOT5_10=np.kron(CNOT4_10,eye)
CNOT5_02=np.kron(CNOT4_02,eye)
CNOT5_20=np.kron(CNOT4_20,eye)
CNOT5_03=np.kron(CNOT4_03,eye)
CNOT5_30=np.kron(CNOT4_30,eye)
CNOT5_12=np.kron(CNOT4_12,eye)
CNOT5_21=np.kron(CNOT4_21,eye)
CNOT5_13=np.kron(CNOT4_13,eye)
CNOT5_31=np.kron(CNOT4_31,eye)
CNOT5_14=np.kron(eye,CNOT4_03)
CNOT5_41=np.kron(eye,CNOT4_30)
CNOT5_23=np.kron(CNOT4_23,eye)
CNOT5_32=np.kron(CNOT4_32,eye)
CNOT5_24=np.kron(eye,CNOT4_13)
CNOT5_42=np.kron(eye,CNOT4_31)
CNOT5_34=np.kron(eye,CNOT4_23)
CNOT5_43=np.kron(eye,CNOT4_32)
CNOT5_04=np.eye(32,32)
CNOT5_04[np.array([16,17])]=CNOT5_04[np.array([17,16])]
CNOT5_04[np.array([18,19])]=CNOT5_04[np.array([19,18])]
CNOT5_04[np.array([20,21])]=CNOT5_04[np.array([21,20])]
CNOT5_04[np.array([22,23])]=CNOT5_04[np.array([23,22])]
CNOT5_04[np.array([24,25])]=CNOT5_04[np.array([25,24])]
CNOT5_04[np.array([26,27])]=CNOT5_04[np.array([27,26])]
CNOT5_04[np.array([28,29])]=CNOT5_04[np.array([29,28])]
CNOT5_04[np.array([30,31])]=CNOT5_04[np.array([31,30])]
CNOT5_40=np.eye(32,32)
CNOT5_40[np.array([1,17])]=CNOT5_40[np.array([17,1])]
CNOT5_40[np.array([3,19])]=CNOT5_40[np.array([19,3])]
CNOT5_40[np.array([5,21])]=CNOT5_40[np.array([21,5])]
CNOT5_40[np.array([7,23])]=CNOT5_40[np.array([23,7])]
CNOT5_40[np.array([9,25])]=CNOT5_40[np.array([25,9])]
CNOT5_40[np.array([11,27])]=CNOT5_40[np.array([27,11])]
CNOT5_40[np.array([13,29])]=CNOT5_40[np.array([29,13])]
CNOT5_40[np.array([15,31])]=CNOT5_40[np.array([31,15])]
####
## States
####
class State(object):
i_=np.complex(0,1)
## One qubit states (basis)
# standard basis (z)
zero_state=np.matrix('1; 0')
one_state=np.matrix('0; 1')
# diagonal basis (x)
plus_state=1/sqrt(2)*np.matrix('1; 1')
minus_state=1/sqrt(2)*np.matrix('1; -1')
# circular basis (y)
plusi_state=1/sqrt(2)*np.matrix([[1],[i_]]) # also known as clockwise arrow state
minusi_state=1/sqrt(2)*np.matrix([[1],[-i_]]) # also known as counterclockwise arrow state
# 2-qubit states
bell_state=1/sqrt(2)*np.matrix('1; 0; 0; 1')
@staticmethod
def change_to_x_basis(state):
return Gate.H*state
@staticmethod
def change_to_y_basis(state):
return Gate.H*Gate.Sdagger*state
@staticmethod
def change_to_w_basis(state):
# W=1/sqrt(2)*(X+Z)
return Gate.H*Gate.T*Gate.H*Gate.S*state
@staticmethod
def change_to_v_basis(state):
# V=1/sqrt(2)*(-X+Z)
return Gate.H*Gate.Tdagger*Gate.H*Gate.S*state
@staticmethod
def is_fully_separable(qubit_state):
try:
separated_state=State.separate_state(qubit_state)
for state in separated_state:
State.string_from_state(state)
return True
except StateNotSeparableException as e:
return False
@staticmethod
def get_first_qubit(qubit_state):
return State.separate_state(qubit_state)[0]
@staticmethod
def get_second_qubit(qubit_state):
return State.separate_state(qubit_state)[1]
@staticmethod
def get_third_qubit(qubit_state):
return State.separate_state(qubit_state)[2]
@staticmethod
def get_fourth_qubit(qubit_state):
return State.separate_state(qubit_state)[3]
@staticmethod
def get_fifth_qubit(qubit_state):
return State.separate_state(qubit_state)[4]
@staticmethod
def all_state_strings(n_qubits):
return [''.join(map(str,state_desc)) for state_desc in itertools.product([0, 1], repeat=n_qubits)]
@staticmethod
def state_from_string(qubit_state_string):
if not all(x in '01' for x in qubit_state_string):
raise Exception("Description must be a string in binary")
state=None
for qubit in qubit_state_string:
if qubit=='0':
new_contrib=State.zero_state
elif qubit=='1':
new_contrib=State.one_state
if state is None:
state=new_contrib
else:
state=np.kron(state,new_contrib)
return state
@staticmethod
def string_from_state(qubit_state):
separated=State.separate_state(qubit_state)
desc=''
for state in separated:
if np.allclose(state,State.zero_state):
desc+='0'
elif np.allclose(state,State.one_state):
desc+='1'
else:
raise StateNotSeparableException("State is not separable")
return desc
@staticmethod
def separate_state(qubit_state):
"""This only works if the state is fully separable at present
Throws exception if not a separable state"""
n_entangled=QuantumRegister.num_qubits(qubit_state)
if list(qubit_state.flat).count(1)==1:
separated_state=[]
idx_state=list(qubit_state.flat).index(1)
add_factor=0
size=qubit_state.shape[0]
while(len(separated_state)<n_entangled):
size=size/2
if idx_state<(add_factor+size):
separated_state+=[State.zero_state]
add_factor+=0
else:
separated_state+=[State.one_state]
add_factor+=size
return separated_state
else:
# Try a few naive separations before giving up
cardinal_states=[State.zero_state,State.one_state,State.plus_state,State.minus_state,State.plusi_state,State.minusi_state]
for separated_state in itertools.product(cardinal_states, repeat=n_entangled):
candidate_state=reduce(lambda x,y:np.kron(x,y),separated_state)
if np.allclose(candidate_state,qubit_state):
return separated_state
# TODO: more general separation methods
raise StateNotSeparableException("TODO: Entangled qubits not represented yet in quantum computer implementation. Can currently do manual calculations; see TestBellState for Examples")
@staticmethod
def measure(state):
"""finally some probabilities, whee. To properly use, set the qubit you measure to the result of this function
to collapse it. state=measure(state). Currently supports only up to three entangled qubits """
state_z=state
n_qubits=QuantumRegister.num_qubits(state)
probs=Probability.get_probabilities(state_z)
rand=random.random()
for idx,state_desc in enumerate(State.all_state_strings(n_qubits)):
if rand < sum(probs[0:(idx+1)]):
return State.state_from_string(state_desc)
@staticmethod
def get_bloch(state):
return np.array((Probability.expectation_x(state),Probability.expectation_y(state),Probability.expectation_z(state)))
@staticmethod
def pretty_print_gate_action(gate,n_qubits):
for s in list(itertools.product([0,1], repeat=n_qubits)):
sname=('%d'*n_qubits)%s
state=State.state_from_string(sname)
print(sname,'->',State.string_from_state(gate*state))
class StateNotSeparableException(Exception):
def __init__(self,args=None):
self.args=args
class Probability(object):
@staticmethod
def get_probability(coeff):
return (coeff*coeff.conjugate()).real
@staticmethod
def get_probabilities(state):
return [Probability.get_probability(x) for x in state.flat]
@staticmethod
def get_correlated_expectation(state):
probs=Probability.get_probabilities(state)
return probs[0]+probs[3]-probs[1]-probs[2]
@staticmethod
def pretty_print_probabilities(state):
probs=Probability.get_probabilities(state)
am_desc='|psi>='
pr_desc=''
for am,pr,state_desc in zip(state.flat,probs,State.all_state_strings(QuantumRegister.num_qubits(state))):
if am!=0:
if am!=1:
am_desc+='%r|%s>+'%(am,state_desc)
else:
am_desc+='|%s>+'%(state_desc)
if pr!=0:
pr_desc+='Pr(|%s>)=%f; '%(state_desc,pr)
print(am_desc[0:-1])
print(pr_desc)
if state.shape==(4,1):
print("<state>=%f" % float(probs[0]+probs[3]-probs[1]-probs[2]))
@staticmethod
def expectation_x(state):
state_x=State.change_to_x_basis(state)
prob_zero_state=(state_x.item(0)*state_x.item(0).conjugate()).real
prob_one_state=(state_x.item(1)*state_x.item(1).conjugate()).real
return prob_zero_state-prob_one_state
@staticmethod
def expectation_y(state):
state_y=State.change_to_y_basis(state)
prob_zero_state=(state_y.item(0)*state_y.item(0).conjugate()).real
prob_one_state=(state_y.item(1)*state_y.item(1).conjugate()).real
return prob_zero_state-prob_one_state
@staticmethod
def expectation_z(state):
state_z=state
prob_zero_state=(state_z.item(0)*state_z.item(0).conjugate()).real
prob_one_state=(state_z.item(1)*state_z.item(1).conjugate()).real
return prob_zero_state-prob_one_state
class QuantumRegister(object):
def __init__(self,name,state=State.zero_state,entangled=None):
self._entangled=[self]
self._state=state
self.name = name
self.idx=None
self._noop = [] # after a measurement set this so that we can allow no further operations. Set to Bloch coords if bloch operation performed
@staticmethod
def num_qubits(state):
num_qubits=log(state.shape[0],2)
if state.shape[1]!=1 or num_qubits not in [1,2,3,4,5]:
raise Exception("unrecognized state shape")
else:
return int(num_qubits)
def get_entangled(self):
return self._entangled
def set_entangled(self,entangled):
self._entangled=entangled
for qb in self._entangled:
qb._state=self._state
qb._entangled=self._entangled
def get_state(self):
return self._state
def set_state(self,state):
self._state=state
for qb in self._entangled:
qb._state=state
qb._entangled=self._entangled
qb._noop=self._noop
def get_noop(self):
return self._noop
def set_noop(self,noop):
self._noop=noop
for qb in self._entangled:
qb._noop=noop
def is_entangled(self):
return len(self._entangled)>1
def is_entangled_with(self,qubit):
return qubit in self._entangled
def get_indices(self,target_qubit):
if not self.is_entangled_with(target_qubit):
search=self._entangled+target_qubit.get_entangled()
else:
search=self._entangled
return search.index(self),search.index(target_qubit)
def get_num_qubits(self):
return QuantumRegister.num_qubits(self._state)
def __eq__(self,other):
if not isinstance(other, type(self)): return NotImplemented
return self.name==other.name and np.array(self._noop).shape==np.array(other._noop).shape and np.allclose(self._noop,other._noop) and np.array(self.get_state()).shape== np.array(other.get_state()).shape and np.allclose(self.get_state(),other.get_state()) and QuantumRegisterCollection.orderings_equal(self._entangled,other._entangled)
class QuantumRegisterSet(object):
"""Created this so I could have some set like features for use, even though QuantumRegisters are mutable"""
registers=[]
def __init__(self,registers):
for r in registers:
if r not in self.registers:
self.registers+=[r]
def intersection(self,quantumregisterset):
intersection=[]
if self.size()>=quantumregisterset:
qrs1=self
qrs2=quantumregisterset
else:
qrs1=quantumregisterset
qrs2=self
# now qrs2 is the smaller set
intersection=[qr for qr in qrs1 if qr in qrs2]
return QuantumRegisterSet(intersection)
def size(self):
return len(self.registers)
class QuantumRegisterCollection(object):
def __init__(self,qubits):
self._qubits=qubits
for idx,qb in enumerate(self._qubits):
qb.idx = idx
self.num_qubits=len(qubits)
def get_quantum_register_containing(self,name):
for qb in self._qubits:
if qb.name == name:
return qb
else:
for entqb in qb.get_entangled():
if entqb.name==name:
return entqb
raise Exception("qubit %s not found in %s" % (name,repr(self._qubits)))
def get_quantum_registers(self):
return self._qubits
def entangle_quantum_registers(self,first_qubit,second_qubit):
new_entangle=first_qubit.get_entangled()+second_qubit.get_entangled()
if len(first_qubit.get_entangled()) >= len(second_qubit.get_entangled()):
self._remove_quantum_register_named(second_qubit.name)
first_qubit.set_entangled(new_entangle)
else:
self._remove_quantum_register_named(first_qubit.name)
second_qubit.set_entangled(new_entangle)
def _remove_quantum_register_named(self,name):
self._qubits=[qb for qb in self._qubits if qb.name!=name]
def is_in_canonical_ordering(self):
return self.get_qubit_order()==list(range(self.num_qubits))
@staticmethod
def is_in_increasing_order(qb_list):
for a,b in zip(qb_list,qb_list[1:]):
if not a.idx<b.idx:
return False
return True
def get_entangled_qubit_order(self):
ordering=[]
for qb in self._qubits:
ent_order=[]
for ent in qb.get_entangled():
ent_order+=[ent]
ordering+=[ent_order]
return ordering
def get_qubit_order(self):
ordering=[]
for qb in self._qubits:
for ent in qb.get_entangled():
ordering+=[ent.idx]
return ordering
def add_quantum_register(self,qubit):
qubit.idx=self.num_qubits
self._qubits+=[qubit]
self.num_qubits+=1
@staticmethod
def orderings_equal(order_one,order_two):
return [qb.idx for qb in order_one] == [qb.idx for qb in order_two]
class QuantumComputer(object):
"""This class is meant to simulate the 5-qubit IBM quantum computer,
and be able to interpret the auto generated programs on the site.
For entangled states, qubits are always reported in alphanumerical order
"""
def __init__(self):
self.qubits=QuantumRegisterCollection([QuantumRegister("q0"),QuantumRegister("q1"),QuantumRegister("q2"),QuantumRegister("q3"),QuantumRegister("q4")])
def reset(self):
self.qubits=QuantumRegisterCollection([QuantumRegister("q0"),QuantumRegister("q1"),QuantumRegister("q2"),QuantumRegister("q3"),QuantumRegister("q4")])
def get_ordering(self):
return self.qubits.get_qubit_order()
def is_in_canonical_ordering(self):
return self.qubits.is_in_canonical_ordering()
def get_requested_state_order(self,name):
get_states_for=[self.qubits.get_quantum_register_containing(x.strip()) for x in name.split(',')]
if not QuantumRegisterCollection.is_in_increasing_order(get_states_for):
raise Exception("at this time, requested qubits must be in increasing order")
entangled_qubit_order=self.qubits.get_entangled_qubit_order()
# # We know the idxs run range(5)
# # We know if the idxs are contiguous, increasing we are good
for get_state_for_qb in get_states_for:
for eqb in entangled_qubit_order:
eqo=[q.idx for q in eqb]
# We know if the idxs are missing a number AND we want to find an idx that lies in there, we must entangle those states
if not get_state_for_qb.idx in eqo and get_state_for_qb.idx in range(min(eqo),max(eqo)+1):
print("We'll have to entangle the two")
# We'll have to entangle the two
qb1=self.qubits.get_quantum_register_containing(eqo[0].name)
get_state_for_qb.set_state(np.kron(qb.get_state(),qb1.get_state()))
self.qubits.entangle_quantum_registers(get_state_for_qb,qb1)
return self.qubit_states_equal(name,state)
# OK, if we reach here, we have all the entanglement we need, and we just need to sort the individual entangled states to match the output order
for qubit in self.qubits.get_quantum_registers():
if not QuantumRegisterCollection.is_in_increasing_order(qubit.get_entangled()): # all one apart
# We're not in order
# We need to assert that the full return can be comprised of concatenating states from beginning to end without extras
if not QuantumRegisterSet(qubit.get_entangled()).size()<=QuantumRegisterSet(get_states_for).size() and QuantumRegisterSet(qubit.get_entangled()).intersection(QuantumRegisterSet(get_states_for)).size():
raise Exception("With this entanglement setup we can't fully separate out just the qubits of iterest. Try measuring more bits")
# We only care if we actually want to return something from this state Put eqo in order then
# We want a sorting algorithm that easily maps to matrix operations, since we only have 5 elements max
# we'll use bubble sort
swapped=True
n=len(qubit.get_entangled())
while(swapped):
swapped=False
current_entangled=qubit.get_entangled()
for idx in range(len(current_entangled)-1):
first_qubit=current_entangled[idx]
second_qubit=current_entangled[idx+1]
if first_qubit.idx > second_qubit.idx:
current_entangled[idx]=second_qubit
current_entangled[idx+1]=first_qubit
permute=np.eye(2**n,2**n)
all_combos=list(itertools.product([0,1],repeat=n))
already_swapped=[]
for icombo,combo in enumerate(all_combos[:len(all_combos)]):
new_combo=list(combo)
new_combo[idx]=combo[idx+1]
new_combo[idx+1]=combo[idx]
new_combo=tuple(new_combo)
if combo!=new_combo:
inew_combo=all_combos.index(new_combo)
swapset=set([icombo,inew_combo])
if not swapset in already_swapped:
already_swapped+=[swapset]
permute[np.array([icombo,inew_combo])]=permute[np.array([inew_combo,icombo])]
first_qubit.set_entangled(current_entangled)
first_qubit.set_state(permute*first_qubit.get_state())
swapped=True
# OK, if we reach here, everything is in order, and entangled states are either all of interest or none are of interest we just need to return it!
answer_state=None
for qb in self.qubits.get_quantum_registers():
if QuantumRegisterSet(qb.get_entangled()).size() <= QuantumRegisterSet(get_states_for).size():
if answer_state is None:
answer_state=qb.get_state()
else:
answer_state=np.kron(answer_state,qb.get_state())
return answer_state
def probabilities_equal(self,name,prob):
get_states_for=[self.qubits.get_quantum_register_containing(x.strip()) for x in name.split(',')]
if not QuantumRegisterCollection.is_in_increasing_order(get_states_for):
raise Exception("at this time, requested qubits must be in increasing order")
entangled_qubit_order=self.qubits.get_entangled_qubit_order()
if (len(get_states_for)==1 and self.is_in_canonical_ordering()) or ([x.name for x in get_states_for] in [[x.name for x in l] for l in entangled_qubit_order]):
return np.allclose(Probability.get_probabilities(get_states_for[0].get_state()),prob)
else:
answer_state=self.get_requested_state_order(name)
return np.allclose(Probability.get_probabilities(answer_state),prob,atol=1e-2)
def qubit_states_equal(self,name,state):
get_states_for=[self.qubits.get_quantum_register_containing(x.strip()) for x in name.split(',')]
if not QuantumRegisterCollection.is_in_increasing_order(get_states_for):
raise Exception("at this time, requested qubits must be in increasing order")
entangled_qubit_order=self.qubits.get_entangled_qubit_order()
if (len(get_states_for)==1 and self.is_in_canonical_ordering()) or (get_states_for in entangled_qubit_order):
return np.allclose(get_states_for[0].get_state(),state)
else:
answer_state=self.get_requested_state_order(name)
return np.allclose(answer_state,state)
def bloch_coords_equal(self,name,coords):
on_qubit=self.qubits.get_quantum_register_containing(name)
if self.is_in_canonical_ordering() and not on_qubit.is_entangled():
return np.allclose(on_qubit.get_noop(),coords,atol=1e-3)
else:
try:
separated_qubit=State.separate_state(on_qubit.get_state())
on_qubit_idx=(on_qubit.get_entangled()).index(on_qubit)
return np.allclose(State.get_bloch(separated_qubit[on_qubit_idx]),coords,atol=1e-3)
except StateNotSeparableException as e:
raise Exception("Entangled measurements that cannot be separatednot yet implemented for bloch sphere")
def apply_gate(self,gate,on_qubit_name):
on_qubit=self.qubits.get_quantum_register_containing(on_qubit_name)
if len(on_qubit.get_noop()) > 0:
print("NOTE this qubit has been measured previously, there should be no more gates allowed but we are reverting that measurement for consistency with IBM's language")
on_qubit.set_state(on_qubit.get_noop())
on_qubit.set_noop([])
if not on_qubit.is_entangled():
if on_qubit.get_num_qubits()!=1:
raise Exception("This qubit is not marked as entangled but it has an entangled state")
on_qubit.set_state(gate*on_qubit.get_state())
else:
if not on_qubit.get_num_qubits()>1:
raise Exception("This qubit is marked as entangled but it does not have an entangled state")
n_entangled=len(on_qubit.get_entangled())
apply_gate_to_qubit_idx=[qb.name for qb in on_qubit.get_entangled()].index(on_qubit_name)
if apply_gate_to_qubit_idx==0:
entangled_gate=gate
else:
entangled_gate=Gate.eye
for i in range(1,n_entangled):
if apply_gate_to_qubit_idx==i:
entangled_gate=np.kron(entangled_gate,gate)
else:
entangled_gate=np.kron(entangled_gate,Gate.eye)
on_qubit.set_state(entangled_gate*on_qubit.get_state())
def apply_two_qubit_gate_CNOT(self,first_qubit_name,second_qubit_name):
""" Should work for all combination of qubits"""
first_qubit=self.qubits.get_quantum_register_containing(first_qubit_name)
second_qubit=self.qubits.get_quantum_register_containing(second_qubit_name)
if len(first_qubit.get_noop())>0 or len(second_qubit.get_noop())>0:
raise Exception("Control or target qubit has been measured previously, no more gates allowed")
if not first_qubit.is_entangled() and not second_qubit.is_entangled():
combined_state=np.kron(first_qubit.get_state(),second_qubit.get_state())
if first_qubit.get_num_qubits()!=1 or second_qubit.get_num_qubits()!=1:
raise Exception("Both qubits are marked as not entangled but one or the other has an entangled state")
new_state=Gate.CNOT2_01*combined_state
if State.is_fully_separable(new_state):
second_qubit.set_state(State.get_second_qubit(new_state))
else:
self.qubits.entangle_quantum_registers(first_qubit,second_qubit)
first_qubit.set_state(new_state)
else:
if not first_qubit.is_entangled_with(second_qubit):
# Entangle the state
combined_state=np.kron(first_qubit.get_state(),second_qubit.get_state())
self.qubits.entangle_quantum_registers(first_qubit,second_qubit)
else:
# We are ready to do the operation
combined_state=first_qubit.get_state()
# Time for more meta programming!
# Select gate based on indices
control_qubit_idx,target_qubit_idx=first_qubit.get_indices(second_qubit)
gate_size=QuantumRegister.num_qubits(combined_state)
try:
namespace=locals()
exec('gate=Gate.CNOT%d_%d%d' %(gate_size,control_qubit_idx,target_qubit_idx),globals(),namespace)
gate=namespace['gate']
except:
print('gate=Gate.CNOT%d_%d%d' %(gate_size,control_qubit_idx,target_qubit_idx))
raise Exception("Unrecognized combination of number of qubits")
first_qubit.set_state(gate*combined_state)
def bloch(self,qubit_name):
on_qubit=self.qubits.get_quantum_register_containing(qubit_name)
if len(on_qubit.get_noop())==0:
if not on_qubit.is_entangled():
on_qubit.set_noop(State.get_bloch(on_qubit.get_state()))
else:
on_qubit.set_noop([1])
def measure(self,qubit_name):
on_qubit=self.qubits.get_quantum_register_containing(qubit_name)
if len(on_qubit.get_noop())==0:
on_qubit.set_noop(on_qubit.get_state()) # state before measurement for testing
on_qubit.set_state(State.measure(on_qubit.get_state()))
def execute(self,program):
"""Time for some very lazy meta programming!
"""
# Transforming IBM's language to my variables
lines=program.split(';')
translation=[
['q[0]','"q0"'],
['q[1]','"q1"'],
['q[2]','"q2"'],
['q[3]','"q3"'],
['q[4]','"q4"'],
['bloch ',r'self.bloch('],
['measure ',r'self.measure('],
['id ','self.apply_gate(Gate.eye,'],
['sdg ','self.apply_gate(Gate.Sdagger,'],
['tdg ','self.apply_gate(Gate.Tdagger,'],
['h ','self.apply_gate(Gate.H,'],
['t ','self.apply_gate(Gate.T,'],
['s ','self.apply_gate(Gate.S,'],
['x ','self.apply_gate(Gate.X,'],
['y ','self.apply_gate(Gate.Y,'],
['z ','self.apply_gate(Gate.Z,'],
]
cnot_re=re.compile('^cx (q\[[0-4]\]), (q\[[0-4]\])$')
for l in lines:
l=l.strip()
if not l: continue
# CNOT operates on two qubits so gets special processing
cnot=cnot_re.match(l)
if cnot:
control_qubit=cnot.group(1)
target_qubit=cnot.group(2)
l='self.apply_two_qubit_gate_CNOT(%s,%s'%(control_qubit,target_qubit)
for k,v in translation:
l=l.replace(k,v)
l=l+')'
# Now running the code
exec(l,globals(),locals())
class Program(object):
def __init__(self,code,result_probability=[],bloch_vals=()):
self.code=code
self.result_probability=result_probability
self.bloch_vals=bloch_vals
class Programs(object):
"""Some useful programs collected in one place for running on the quantum computer class"""
program_blue_state=Program("""h q[1];
t q[1];
h q[1];
t q[1];
h q[1];
t q[1];
s q[1];
h q[1];
t q[1];
h q[1];
t q[1];
s q[1];
h q[1];
bloch q[1];""")
program_test_XYZMeasureIdSdagTdag=Program("""sdg q[0];
x q[1];
x q[2];
id q[3];
z q[4];
tdg q[0];
y q[4];
measure q[0];
measure q[1];
measure q[2];
measure q[3];
measure q[4];""")
program_test_cnot=Program("""x q[1];
cx q[1], q[2];""")
program_test_many=Program("""sdg q[0];
x q[1];
x q[2];
id q[3];
z q[4];
tdg q[0];
cx q[1], q[2];
y q[4];
measure q[0];
measure q[1];
measure q[2];
measure q[3];
measure q[4];""")
# IBM Tutorial Section III, Page 4
program_zz=Program("""h q[1];
cx q[1], q[2];
measure q[1];
measure q[2];""") # "00",0.5; "11",0.5 # <zz> = 2
program_zw=Program("""h q[1];
cx q[1], q[2];
s q[2];
h q[2];
t q[2];
h q[2];
measure q[1];
measure q[2]""") # "00",0.426777; "01",0.073223; "10",0.073223; "11",0.426777 # <zw> = 1/sqrt(2)
program_zv=Program("""h q[1];
cx q[1], q[2];
s q[2];
h q[2];
tdg q[2];
h q[2];
measure q[1];
measure q[2];""") #"00",0.426777; "01",0.073223; "10",0.073223; "11",0.426777 # <zv> = 1/sqrt(2)
program_xw=Program("""h q[1];
cx q[1], q[2];
h q[1];
s q[2];
h q[2];
t q[2];
h q[2];
measure q[1];
measure q[2];""") # "00",0.426777; "01",0.073223; "10",0.073223; "11",0.426777 # <xw> =
program_xv=Program("""h q[1];
cx q[1], q[2];
h q[1];
s q[2];
h q[2];
tdg q[2];
h q[2];
measure q[1];
measure q[2];""") #"00",0.073223; "01",0.426777; "10",0.426777; "11",0.073223; # <xv> =
# Currently not used, but creats a superposition of 00 and 01
program_00_01_super=Program("""sdg q[1];
t q[1];
t q[1];
s q[1];
h q[1];
h q[0];
h q[1];
h q[0];
h q[1];
cx q[0], q[1];
measure q[0];
measure q[1];""")
# IBM Tutorial Section III, Page 5
program_ghz=Program("""h q[0];
h q[1];
x q[2];
cx q[1], q[2];
cx q[0], q[2];
h q[0];
h q[1];
h q[2];
measure q[0];
measure q[1];
measure q[2];""",result_probability=[0.5,0,0,0,0,0,0,0.5])# "000":0.5; "111":0.5
program_ghz_measure_yyx=Program("""h q[0];
h q[1];
x q[2];
cx q[1], q[2];
cx q[0], q[2];
h q[0];
h q[1];
h q[2];
sdg q[0];
sdg q[1];
h q[2];
h q[0];
h q[1];
measure q[2];
measure q[0];
measure q[1];""",result_probability=[0.25,0,0,0.25,0,0.25,0.25,0]) # "000":0.25; "011": 0.25; "101": 0.25; "110":0.25
program_ghz_measure_yxy=Program("""h q[0];
h q[1];
x q[2];
cx q[1], q[2];
cx q[0], q[2];
h q[0];
h q[1];
h q[2];
sdg q[0];
h q[1];
sdg q[2];
h q[0];
measure q[1];
h q[2];
measure q[0];
measure q[2];""",result_probability=[0.25,0,0,0.25,0,0.25,0.25,0]) # "000":0.25; "011": 0.25; "101": 0.25; "110":0.25
program_ghz_measure_xyy=Program("""h q[0];
h q[1];
x q[2];
cx q[1], q[2];
cx q[0], q[2];
h q[0];
h q[1];
h q[2];
h q[0];
sdg q[1];
sdg q[2];
measure q[0];
h q[1];
h q[2];
measure q[1];
measure q[2];""",result_probability=[0.25,0,0,0.25,0,0.25,0.25,0]) # "000":0.25; "011": 0.25; "101": 0.25; "110":0.25
program_ghz_measure_xxx=Program("""h q[0];
h q[1];
x q[2];
cx q[1], q[2];
cx q[0], q[2];
h q[0];
h q[1];
h q[2];
h q[0];
h q[1];
h q[2];
measure q[0];
measure q[1];
measure q[2];""",result_probability=[0,0.25,0.25,0,0.25,0,0,0.25]) #"001":0.25; "010": 0.25; "100": 0.25; "111":0.25
# IBM Tutorial Section IV, Page 1
program_reverse_cnot=Program("""x q[2];
h q[1];
h q[2];
cx q[1], q[2];
h q[1];
h q[2];
measure q[1];
measure q[2];""",result_probability=(0.0,0.0,0.0,1.0))# "11": 1.0
program_swap=Program("""x q[2];
cx q[1], q[2];
h q[1];
h q[2];
cx q[1], q[2];
h q[1];
h q[2];
cx q[1], q[2];
measure q[1];
measure q[2];""",result_probability=(0.0,0.0,1.0,0.0)) # "10": 1.0
program_swap_q0_q1=Program("""h q[0];
cx q[0], q[2];
h q[0];
h q[2];
cx q[0], q[2];
h q[0];
h q[2];
cx q[0], q[2];
cx q[1], q[2];
h q[1];
h q[2];
cx q[1], q[2];
h q[1];
h q[2];
cx q[1], q[2];
cx q[0], q[2];
h q[0];
h q[2];
cx q[0], q[2];
h q[0];
h q[2];
cx q[0], q[2];
bloch q[0];
bloch q[1];
bloch q[2];""",bloch_vals=((0,0,1),(1,0,0),(0,0,1),None,None)) # Bloch q0: (0,0,1); #q1: (1,0,0) q2: (0,0,1)
program_controlled_hadamard=Program("""h q[1];
s q[1];
h q[2];
sdg q[2];
cx q[1], q[2];
h q[2];
t q[2];
cx q[1], q[2];
t q[2];
h q[2];
s q[2];
x q[2];
measure q[1];
measure q[2];""",result_probability=[0.5,0.0,0.25,0.25]) # "00": 0.5; "10": 0.25; "11":0.25
program_approximate_sqrtT=Program("""h q[0];
h q[1];
h q[2];
h q[3];
h q[4];
bloch q[0];
h q[1];
t q[2];
s q[3];
z q[4];
t q[1];
bloch q[2];
bloch q[3];
bloch q[4];
h q[1];
t q[1];
h q[1];
t q[1];
s q[1];
h q[1];
t q[1];
h q[1];
t q[1];
s q[1];
h q[1];
t q[1];
h q[1];
t q[1];
h q[1];
bloch q[1];""",bloch_vals=((1,0,0),(0.927, 0.375, 0.021), (0.707, 0.707, 0.000),(0.000, 1.000, 0.000), (-1.000, 0.000, 0.000))) #Bloch coords q0: (1.000, 0.000, 0.000) q1: (0.927, 0.375, 0.021) q2: (0.707, 0.707, 0.000) q3: (0.000, 1.000, 0.000) q4: (-1.000, 0.000, 0.000) # checks out when we manually get_bloch
program_toffoli_state=Program("""h q[0];
h q[1];
h q[2];
cx q[1], q[2];
tdg q[2];
cx q[0], q[2];
t q[2];
cx q[1], q[2];
tdg q[2];
cx q[0], q[2];
t q[1];
t q[2];
cx q[1], q[2];
h q[1];
h q[2];
cx q[1], q[2];
h q[1];
h q[2];