If you like new things, you are invited to experience a new world with the new blueqat. Many qubits can now be calculated. In return, there is a limit in the depth. It's a bit like the actual device. First of all, we need to update and add the necessary libraries.
pip install --no-deps -U git+https://github.com/jcmgray/quimb.git@develop autoray blueqat
Collecting git+https://github.com/jcmgray/quimb.git@develop
Cloning https://github.com/jcmgray/quimb.git (to revision develop) to /tmp/pip-req-build-y58jowxa
Running command git clone -q https://github.com/jcmgray/quimb.git /tmp/pip-req-build-y58jowxa
Requirement already satisfied: autoray in /opt/conda/lib/python3.8/site-packages (0.3.1)
Requirement already satisfied: blueqat in /opt/conda/lib/python3.8/site-packages (0.6.0)
Collecting blueqat
Downloading blueqat-1.0.0-py3-none-any.whl (79 kB)
[K |████████████████████████████████| 79 kB 678 kB/s eta 0:00:010:01
[?25hInstalling collected packages: blueqat
Attempting uninstall: blueqat
Found existing installation: blueqat 0.6.0
Uninstalling blueqat-0.6.0:
Successfully uninstalled blueqat-0.6.0
Successfully installed blueqat-1.0.0
Note: you may need to restart the kernel to use updated packages.
First, let's look at the basic usage. There are no major differences from before, but the usage is a little different. Now we specify the backend, but it will be the standard simulator in the future.
Let's make a superposition of 80 qubits. if it doesn't work with jupyternotebook or others, try restarting the kernel after the installation is finished.
from blueqat import Circuit
N=80
Circuit(N).h[:].run(backend="quimb")
Counter({'10001011100101111000011111111101010100001011111010111000001001001001111011110010': 1})
What do you think? 80 qubits were computed only once. Since it is a superposition, the qubits are scattered. Next, let's try to create entanglement.
circ = Circuit(80).h[0]
for i in range(N-1):
circ.cx[i, i+1]
circ.run(backend="quimb")
Counter({'00000000000000000000000000000000000000000000000000000000000000000000000000000000': 1})
In the case of entanglement, it is difficult to understand if it is calculated only once, so let's repeat the calculation.
circ = Circuit(80).h[0]
for i in range(N-1):
circ.cx[i, i+1]
circ.run(backend="quimb", shots=100)
Counter({'11111111111111111111111111111111111111111111111111111111111111111111111111111111': 52,
'00000000000000000000000000000000000000000000000000000000000000000000000000000000': 48})
The sample was taken in this way. This is much closer to the actual machine. Since the current computer cannot store a large quantum state, instead of getting a full state vector, we can get a single state amplitude.
import numpy as np
amplitude = ''.join([str(np.random.choice([0,1])) for _ in range(N)])
print(amplitude)
Circuit(N).h[:].run(backend="quimb", amplitude = amplitude)
01101000110100001111010000101001101101001010010010110100101100110100110111100110
(9.094947017729225e-13+0j)
Taking samples with many qubits also shows the difficulty of the superposition process.
Circuit(100).h[:].run(backend="quimb",shots=100)
Counter({'1110000100001000101010010000101001000010000110110011000111000010111001111000100100111100111010000001': 1,
'1100000001001000001010001101101110110001110010111100110001111011100110000011011011001100000110111111': 1,
'1010000110101110001011100010000000010011010010011011001111111101010101111110110101011000100000110100': 1,
'1110011000110011000100100001011101000100100010100001011001110011010010111100101110011001111001001101': 1,
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'1010111010000010000100100110111000110111001011010101110100000011010110000010001001100011101100100011': 1,
'1001111000010110011011011100001000011000010011100011111001111001100101101010010000010011100101100111': 1,
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We still need to add and modify the code in various ways. Please try it out. That's all.