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這篇文章主要講解了“python使用ProjectQ生成量子算法指令集的方法”,文中的講解內(nèi)容簡(jiǎn)單清晰,易于學(xué)習(xí)與理解,下面請(qǐng)大家跟著小編的思路慢慢深入,一起來研究和學(xué)習(xí)“python使用ProjectQ生成量子算法指令集的方法”吧!
projectQ是一個(gè)開源的量子計(jì)算框架,通過projectQ我們可以生成量子算法指令集,進(jìn)而開發(fā)出量子算法。projectQ是基于python編譯運(yùn)行的。
首先介紹一個(gè)最基本的使用方法,就是使用ProjectQ來打印量子算法中所輸入的量子門操作,這里使用到了ProjectQ中的DummyEngine
后端用于保存操作的指令。比如最簡(jiǎn)單的一個(gè)Bell State的制備,可以通過如下代碼實(shí)現(xiàn),并且打印出所保存的基本操作:
from projectq import MainEngine
from projectq.cengines import DummyEngine
from projectq.ops import H, CX, All, Measure
backend = DummyEngine(save_commands=True)
eng = MainEngine(backend=backend)
qureg = eng.allocate_qureg(2)
H | qureg[0]
CX | (qureg[0], qureg[1])
All(Measure) | qureg
eng.flush(deallocate_qubits=True)
for cmd in backend.received_commands:
print (cmd)
運(yùn)行結(jié)果如下:
Allocate | Qureg[0] H | Qureg[0] Allocate | Qureg[1] CX | ( Qureg[0], Qureg[1] ) Measure | Qureg[0] Measure | Qureg[1] Deallocate | Qureg[0] Deallocate | Qureg[1]
這里有一點(diǎn)需要注意的是,如果是單次運(yùn)算,我們到Measure就可以結(jié)束了。但是如果同一個(gè)線程的任務(wù)還沒有結(jié)束的話,需要在Measure之后加上一個(gè)deallocate_qubits=True
的配置項(xiàng),用于解除當(dāng)前分配的量子比特所占用的內(nèi)存。
在量子算法的實(shí)現(xiàn)中,我們可以用一些函數(shù)或者類來封裝一部分的量子算法操作指令,但是這可能會(huì)導(dǎo)致一個(gè)問題,那就是在ProjectQ上打印出來的操作指令沒有把封裝的模塊的內(nèi)容輸出出來,比如如下的案例:
from projectq import MainEngine
from projectq.cengines import DummyEngine
from projectq.ops import H, CX, All, Measure, TimeEvolution, QubitOperator
backend = DummyEngine(save_commands=True)
eng = MainEngine(backend=backend)
qureg = eng.allocate_qureg(3)
H | qureg[0]
CX | (qureg[0], qureg[1])
TimeEvolution(1, QubitOperator('X2 X1')) | qureg
All(Measure) | qureg
eng.flush()
for cmd in backend.received_commands:
print (cmd)
執(zhí)行結(jié)果如下:
Allocate | Qureg[0] H | Qureg[0] Allocate | Qureg[1] CX | ( Qureg[0], Qureg[1] ) Measure | Qureg[0] Allocate | Qureg[2] exp(-1j * (1.0 X0 X1)) | Qureg[1-2] Measure | Qureg[1] Measure | Qureg[2]
我們發(fā)現(xiàn)這里的含時(shí)演化的操作算符沒有被分解,而是直接打印輸出了出來。但是如果在硬件系統(tǒng)中,只能夠識(shí)別支持的指令操作,這里的含時(shí)演化操作可能并未在量子硬件體系中被實(shí)現(xiàn),因此我們就需要在將指令發(fā)送給量子硬件之前,就對(duì)其進(jìn)行分解。
這里我們直接調(diào)用ProjectQ的配置中的restrictedgateset方法進(jìn)行操作分解,我們將單比特門操作的范圍放寬到所有的操作,但是雙比特操作只允許CX操作,并將這個(gè)配置作為engin_list配置到ProjectQ的MainEngine中:
from projectq import MainEngine
from projectq.cengines import DummyEngine
from projectq.ops import H, CX, All, Measure, TimeEvolution, QubitOperator
from projectq.setups import restrictedgateset
engine_list = restrictedgateset.get_engine_list(one_qubit_gates="any",two_qubit_gates=(CX,))
backend = DummyEngine(save_commands=True)
eng = MainEngine(backend=backend,engine_list=engine_list)
qureg = eng.allocate_qureg(3)
H | qureg[0]
CX | (qureg[0], qureg[1])
TimeEvolution(1, QubitOperator('X2 X1')) | qureg
All(Measure) | qureg
eng.flush(deallocate_qubits=True)
for cmd in backend.received_commands:
print (cmd)
打印輸出的結(jié)果如下:
Allocate | Qureg[0] H | Qureg[0] Allocate | Qureg[1] CX | ( Qureg[0], Qureg[1] ) Measure | Qureg[0] Allocate | Qureg[2] H | Qureg[2] H | Qureg[1] CX | ( Qureg[1], Qureg[2] ) Rz(2.0) | Qureg[2] CX | ( Qureg[1], Qureg[2] ) H | Qureg[1] Measure | Qureg[1] H | Qureg[2] Measure | Qureg[2] Deallocate | Qureg[0] Deallocate | Qureg[1] Deallocate | Qureg[2]
可以看到含時(shí)演化算符已經(jīng)被分解并輸出了出來。由于已知單比特量子門加上一個(gè)CX是一個(gè)完備的量子門集合,因此一般我們可以直接使用這個(gè)集合來進(jìn)行量子門操作指令集的限制。
QFT是ProjectQ中所自帶支持的量子傅里葉變換的量子門操作封裝,跟上一個(gè)章節(jié)中所介紹的含時(shí)演化算符類似的,我們可以用restrictedgateset
來具體分解QFT算符:
from projectq import MainEngine
from projectq.cengines import DummyEngine
from projectq.ops import H, CX, All, Measure, TimeEvolution, QubitOperator, QFT
from projectq.setups import restrictedgateset
engine_list = restrictedgateset.get_engine_list(one_qubit_gates="any",two_qubit_gates=(CX,))
backend = DummyEngine(save_commands=True)
eng = MainEngine(backend=backend,engine_list=engine_list)
qureg = eng.allocate_qureg(3)
H | qureg[0]
CX | (qureg[0], qureg[1])
QFT | qureg
All(Measure) | qureg
eng.flush(deallocate_qubits=True)
for cmd in backend.received_commands:
print (cmd)
輸出的結(jié)果如下:
Allocate | Qureg[2] Allocate | Qureg[1] H | Qureg[2] Rz(0.785398163398) | Qureg[2] Allocate | Qureg[0] H | Qureg[0] CX | ( Qureg[0], Qureg[1] ) R(0.785398163398) | Qureg[1] CX | ( Qureg[1], Qureg[2] ) Rz(11.780972450962) | Qureg[2] CX | ( Qureg[1], Qureg[2] ) R(0.392699081698) | Qureg[0] Rz(0.392699081698) | Qureg[2] CX | ( Qureg[0], Qureg[2] ) H | Qureg[1] Rz(12.173671532661) | Qureg[2] CX | ( Qureg[0], Qureg[2] ) R(0.785398163398) | Qureg[0] Rz(0.785398163398) | Qureg[1] CX | ( Qureg[0], Qureg[1] ) Rz(11.780972450962) | Qureg[1] CX | ( Qureg[0], Qureg[1] ) H | Qureg[0] Measure | Qureg[0] Measure | Qureg[1] Measure | Qureg[2] Deallocate | Qureg[1] Deallocate | Qureg[2] Deallocate | Qureg[0]
如果2比特門操作也不加以限制的化,ProjectQ中會(huì)自動(dòng)選取最簡(jiǎn)易的分解形式:
from projectq import MainEngine
from projectq.cengines import DummyEngine
from projectq.ops import H, CX, All, Measure, TimeEvolution, QubitOperator, QFT
from projectq.setups import restrictedgateset
engine_list = restrictedgateset.get_engine_list(one_qubit_gates="any",two_qubit_gates="any")
backend = DummyEngine(save_commands=True)
eng = MainEngine(backend=backend,engine_list=engine_list)
qureg = eng.allocate_qureg(3)
H | qureg[0]
CX | (qureg[0], qureg[1])
QFT | qureg
All(Measure) | qureg
eng.flush(deallocate_qubits=True)
for cmd in backend.received_commands:
print (cmd)
輸出結(jié)果如下:
Allocate | Qureg[0] Allocate | Qureg[1] H | Qureg[0] CX | ( Qureg[0], Qureg[1] ) Allocate | Qureg[2] H | Qureg[2] CR(1.570796326795) | ( Qureg[1], Qureg[2] ) CR(0.785398163397) | ( Qureg[0], Qureg[2] ) H | Qureg[1] CR(1.570796326795) | ( Qureg[0], Qureg[1] ) H | Qureg[0] Measure | Qureg[0] Measure | Qureg[1] Measure | Qureg[2] Deallocate | Qureg[1] Deallocate | Qureg[2] Deallocate | Qureg[0]
可以發(fā)現(xiàn)使用了CR來替代CX之后,分解出來的線路會(huì)更加的簡(jiǎn)短。
感謝各位的閱讀,以上就是“python使用ProjectQ生成量子算法指令集的方法”的內(nèi)容了,經(jīng)過本文的學(xué)習(xí)后,相信大家對(duì)python使用ProjectQ生成量子算法指令集的方法這一問題有了更深刻的體會(huì),具體使用情況還需要大家實(shí)踐驗(yàn)證。這里是億速云,小編將為大家推送更多相關(guān)知識(shí)點(diǎn)的文章,歡迎關(guān)注!
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