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"sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"}, + {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"}, + {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"}, ] [package.extras] docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] + +[extras] +cupy = ["cupy-cuda12x"] +cuquantum = ["cuquantum-python-cu12"] [metadata] lock-version = "2.0" python-versions = "^3.9,<3.13" -content-hash = "db9b42481764b779219af70186a2d469b2bf2b888dd52c5a7bde3d9770d5470b" +content-hash = "bc38d881d34e9ced1140c3360fe8b56c68a146fd5bf1d7338cc13294e0cfd71f" diff --git a/pyproject.toml b/pyproject.toml index 58d56394..1bb2073f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,6 +25,8 @@ numba = ">=0.59.0" qibo = { git="https://github.com/qiboteam/qibo.git" } scipy = "^1.10.1" psutil = "^5.9.5" +cupy-cuda12x = { version = "^13.1.0", optional = true } +cuquantum-python-cu12 = { version = "^23.10.0", optional = true } [tool.poetry.group.dev.dependencies] ipython = "^7.0" @@ -38,6 +40,10 @@ pylint = "^3.0.3" pytest-cov = "^4.1.0" pytest-env = "^0.8.1" +[tool.poetry.extras] +cupy = ["cupy-cuda12x"] +cuquantum = ["cuquantum-python-cu12"] + [tool.poe.tasks] test = "pytest" lint = "pylint src/**/*.py -E" diff --git a/src/qibojit/backends/gpu.py b/src/qibojit/backends/gpu.py index c00d233c..a46f2589 100644 --- a/src/qibojit/backends/gpu.py +++ b/src/qibojit/backends/gpu.py @@ -502,9 +502,12 @@ def calculate_matrix_exp(self, a, matrix, eigenvectors=None, eigenvalues=None): if eigenvectors is None or self.issparse(matrix): if self.issparse(matrix): from scipy.sparse.linalg import expm + + return self.cast(expm(-1j * a * matrix.get())) else: - from scipy.linalg import expm - return self.cast(expm(-1j * a * matrix.get())) + from cupyx.scipy.linalg import expm # pylint: disable=import-error + + return self.cast(expm(-1j * a * matrix)) else: expd = self.cp.diag(self.cp.exp(-1j * a * eigenvalues)) ud = self.cp.transpose(self.cp.conj(eigenvectors)) diff --git a/src/qibojit/custom_operators/ops.py b/src/qibojit/custom_operators/ops.py index 215d75fe..47fd07af 100644 --- a/src/qibojit/custom_operators/ops.py +++ b/src/qibojit/custom_operators/ops.py @@ -109,10 +109,11 @@ def measure_frequencies(frequencies, probs, nshots, nqubits, seed, nthreads): for n in prange(nthreads): # pylint: disable=not-an-iterable frequencies_private = thread_frequencies[n] np.random.seed(thread_seed[n]) + shot = probs.argmax() for i in range(thread_nshots[n]): - if i == 0: - # Initial bitstring is the one with the maximum probability - shot = probs.argmax() + # if i == 0: + # # Initial bitstring is the one with the maximum probability + # shot = probs.argmax() new_shot = (shot + np.random.randint(0, nstates)) % nstates # accept or reject move if probs[new_shot] / probs[shot] > np.random.random():