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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "ff197fa2-58fa-4d56-abbd-ad1f8bc5cee8", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# We need Qiskit, CudaQ and Abraxas\n", | ||
"from qiskit.circuit.library import EfficientSU2\n", | ||
"from cudaq import make_kernel, sample\n", | ||
"from abrax import toPrime, toCudaq" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "b5793bbd-07ce-44fc-b536-b7a924efaa41", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/html": [ | ||
"<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: "Courier New",Courier,monospace\"> ┌──────────┐┌──────────┐ ┌──────────┐ ┌──────────┐\n", | ||
"q_0: ┤ Ry(θ[0]) ├┤ Rz(θ[3]) ├──────────■───────┤ Ry(θ[6]) ├─┤ Rz(θ[9]) ├\n", | ||
" ├──────────┤├──────────┤ ┌─┴─┐ ├──────────┤┌┴──────────┤\n", | ||
"q_1: ┤ Ry(θ[1]) ├┤ Rz(θ[4]) ├──■─────┤ X ├─────┤ Ry(θ[7]) ├┤ Rz(θ[10]) ├\n", | ||
" ├──────────┤├──────────┤┌─┴─┐┌──┴───┴───┐┌┴──────────┤└───────────┘\n", | ||
"q_2: ┤ Ry(θ[2]) ├┤ Rz(θ[5]) ├┤ X ├┤ Ry(θ[8]) ├┤ Rz(θ[11]) ├─────────────\n", | ||
" └──────────┘└──────────┘└───┘└──────────┘└───────────┘ </pre>" | ||
], | ||
"text/plain": [ | ||
" ┌──────────┐┌──────────┐ ┌──────────┐ ┌──────────┐\n", | ||
"q_0: ┤ Ry(θ[0]) ├┤ Rz(θ[3]) ├──────────■───────┤ Ry(θ[6]) ├─┤ Rz(θ[9]) ├\n", | ||
" ├──────────┤├──────────┤ ┌─┴─┐ ├──────────┤┌┴──────────┤\n", | ||
"q_1: ┤ Ry(θ[1]) ├┤ Rz(θ[4]) ├──■─────┤ X ├─────┤ Ry(θ[7]) ├┤ Rz(θ[10]) ├\n", | ||
" ├──────────┤├──────────┤┌─┴─┐┌──┴───┴───┐┌┴──────────┤└───────────┘\n", | ||
"q_2: ┤ Ry(θ[2]) ├┤ Rz(θ[5]) ├┤ X ├┤ Ry(θ[8]) ├┤ Rz(θ[11]) ├─────────────\n", | ||
" └──────────┘└──────────┘└───┘└──────────┘└───────────┘ " | ||
] | ||
}, | ||
"execution_count": 5, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Let us initialise Qiskit SU2\n", | ||
"qc = EfficientSU2(3, reps=1).decompose()\n", | ||
"qc.draw()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 6, | ||
"id": "c302fbd6-3776-4914-96fc-26f9309032f3", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"-0 ry(θ[0]) rz(θ[3]) cx(1) ry(θ[6]) \n", | ||
"-1 ry(θ[1]) rz(θ[4]) cx(2) ry(θ[7]) \n", | ||
"-2 ry(θ[2]) rz(θ[5]) ry(θ[8]) rz(θ[11])\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"# We use Abraxas String as a pseudo-IR\n", | ||
"string = toPrime(qc)\n", | ||
"print(string)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "aacf5589-2c29-4512-ab9e-e2c0b92ec0da", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Can be run normally by Cuda\n", | ||
"kernel, thetas = make_kernel(list)\n", | ||
"qubits = kernel.qalloc(3)\n", | ||
"\n", | ||
"cudaO = {\n", | ||
" 'kernel': kernel,\n", | ||
" 'qubits': qubits,\n", | ||
" 'quake': thetas,\n", | ||
" 'params': 0,\n", | ||
"}\n", | ||
"kernel = toCudaq(cudaO, string)\n", | ||
"vals = [0.1 * i for i in range(cudaO['params'])]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "a0ae838e-d439-4c05-bcbe-a5a127f8ccfc", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"{ 011:27 101:4 001:56 110:19 100:89 111:8 010:100 000:697 }\n", | ||
"\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"result = sample(kernel, vals)\n", | ||
"print(result)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.13" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "ff197fa2-58fa-4d56-abbd-ad1f8bc5cee8", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# We need Qiskit, Pennylane and Abraxas\n", | ||
"from qiskit.circuit.library import EfficientSU2\n", | ||
"from abrax import toPrime, toPennylane\n", | ||
"import pennylane as qml" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"id": "b5793bbd-07ce-44fc-b536-b7a924efaa41", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/html": [ | ||
"<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: "Courier New",Courier,monospace\"> ┌──────────┐┌──────────┐ ┌──────────┐ ┌──────────┐\n", | ||
"q_0: ┤ Ry(θ[0]) ├┤ Rz(θ[3]) ├──────────■───────┤ Ry(θ[6]) ├─┤ Rz(θ[9]) ├\n", | ||
" ├──────────┤├──────────┤ ┌─┴─┐ ├──────────┤┌┴──────────┤\n", | ||
"q_1: ┤ Ry(θ[1]) ├┤ Rz(θ[4]) ├──■─────┤ X ├─────┤ Ry(θ[7]) ├┤ Rz(θ[10]) ├\n", | ||
" ├──────────┤├──────────┤┌─┴─┐┌──┴───┴───┐┌┴──────────┤└───────────┘\n", | ||
"q_2: ┤ Ry(θ[2]) ├┤ Rz(θ[5]) ├┤ X ├┤ Ry(θ[8]) ├┤ Rz(θ[11]) ├─────────────\n", | ||
" └──────────┘└──────────┘└───┘└──────────┘└───────────┘ </pre>" | ||
], | ||
"text/plain": [ | ||
" ┌──────────┐┌──────────┐ ┌──────────┐ ┌──────────┐\n", | ||
"q_0: ┤ Ry(θ[0]) ├┤ Rz(θ[3]) ├──────────■───────┤ Ry(θ[6]) ├─┤ Rz(θ[9]) ├\n", | ||
" ├──────────┤├──────────┤ ┌─┴─┐ ├──────────┤┌┴──────────┤\n", | ||
"q_1: ┤ Ry(θ[1]) ├┤ Rz(θ[4]) ├──■─────┤ X ├─────┤ Ry(θ[7]) ├┤ Rz(θ[10]) ├\n", | ||
" ├──────────┤├──────────┤┌─┴─┐┌──┴───┴───┐┌┴──────────┤└───────────┘\n", | ||
"q_2: ┤ Ry(θ[2]) ├┤ Rz(θ[5]) ├┤ X ├┤ Ry(θ[8]) ├┤ Rz(θ[11]) ├─────────────\n", | ||
" └──────────┘└──────────┘└───┘└──────────┘└───────────┘ " | ||
] | ||
}, | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Let us initialise Qiskit SU2\n", | ||
"qc = EfficientSU2(3, reps=1).decompose()\n", | ||
"qc.draw()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "c302fbd6-3776-4914-96fc-26f9309032f3", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"-0 ry(θ[0]) rz(θ[3]) cx(1) ry(θ[6]) \n", | ||
"-1 ry(θ[1]) rz(θ[4]) cx(2) ry(θ[7]) \n", | ||
"-2 ry(θ[2]) rz(θ[5]) ry(θ[8]) rz(θ[11])\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"# We use Abraxas String as a pseudo-IR\n", | ||
"string = toPrime(qc)\n", | ||
"print(string)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "aacf5589-2c29-4512-ab9e-e2c0b92ec0da", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# We can now use the 'maker' to run all the necessary gates\n", | ||
"# and pass in params into it\n", | ||
"maker, params = toPennylane(string)\n", | ||
"def circ(params):\n", | ||
" maker(qml, params)\n", | ||
"\n", | ||
" return qml.probs()\n", | ||
"\n", | ||
"circuit = qml.QNode(circ, qml.device('default.qubit', wires=3))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "a0ae838e-d439-4c05-bcbe-a5a127f8ccfc", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"tensor([0.70065054, 0.05064247, 0.09717805, 0.03203952, 0.08211337,\n", | ||
" 0.00629748, 0.02449996, 0.00657861], requires_grad=True)" | ||
] | ||
}, | ||
"execution_count": 5, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# let's use 0.0, 0.1, 0.2...\n", | ||
"params = [0.1 * i for i in range(len(params))]\n", | ||
"circuit(params)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.13" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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FILE=local/token.env | ||
TOK=`cat $(FILE)` | ||
|
||
build: | ||
python3 setup.py bdist_wheel sdist | ||
twine check dist/* | ||
|
||
deploy: | ||
twine upload dist/* | ||
twine upload dist/* -u plutoniumm -p $(TOK) |