tensorcircuit.backends

• tensorcircuit.backends.backend_factory
  • get_backend()
• tensorcircuit.backends.cupy_backend
  • CuPyBackend
    • CuPyBackend.__init__()
    • CuPyBackend.abs()
    • CuPyBackend.acos()
    • CuPyBackend.acosh()
    • CuPyBackend.addition()
    • CuPyBackend.adjoint()
    • CuPyBackend.all()
    • CuPyBackend.any()
    • CuPyBackend.arange()
    • CuPyBackend.argmax()
    • CuPyBackend.argmin()
    • CuPyBackend.argsort()
    • CuPyBackend.asin()
    • CuPyBackend.asinh()
    • CuPyBackend.atan()
    • CuPyBackend.atan2()
    • CuPyBackend.atanh()
    • CuPyBackend.bitwise_and()
    • CuPyBackend.bitwise_or()
    • CuPyBackend.bitwise_xor()
    • CuPyBackend.broadcast_left_multiplication()
    • CuPyBackend.broadcast_right_multiplication()
    • CuPyBackend.cast()
    • CuPyBackend.cholesky()
    • CuPyBackend.clip()
    • CuPyBackend.concat()
    • CuPyBackend.cond()
    • CuPyBackend.conj()
    • CuPyBackend.convert_to_tensor()
    • CuPyBackend.coo_sparse_matrix()
    • CuPyBackend.coo_sparse_matrix_from_numpy()
    • CuPyBackend.copy()
    • CuPyBackend.cos()
    • CuPyBackend.cosh()
    • CuPyBackend.cumsum()
    • CuPyBackend.deserialize_tensor()
    • CuPyBackend.det()
    • CuPyBackend.device()
    • CuPyBackend.device_move()
    • CuPyBackend.diagflat()
    • CuPyBackend.diagonal()
    • CuPyBackend.divide()
    • CuPyBackend.dtype()
    • CuPyBackend.eigh()
    • CuPyBackend.eigs()
    • CuPyBackend.eigsh()
    • CuPyBackend.eigsh_lanczos()
    • CuPyBackend.eigvalsh()
    • CuPyBackend.einsum()
    • CuPyBackend.eps()
    • CuPyBackend.exp()
    • CuPyBackend.expand_dims()
    • CuPyBackend.expm()
    • CuPyBackend.eye()
    • CuPyBackend.floor()
    • CuPyBackend.floor_divide()
    • CuPyBackend.from_dlpack()
    • CuPyBackend.gather1d()
    • CuPyBackend.get_random_state()
    • CuPyBackend.gmres()
    • CuPyBackend.grad()
    • CuPyBackend.hessian()
    • CuPyBackend.i()
    • CuPyBackend.imag()
    • CuPyBackend.implicit_randc()
    • CuPyBackend.implicit_randn()
    • CuPyBackend.implicit_randu()
    • CuPyBackend.index_update()
    • CuPyBackend.inv()
    • CuPyBackend.is_sparse()
    • CuPyBackend.is_tensor()
    • CuPyBackend.item()
    • CuPyBackend.jacbwd()
    • CuPyBackend.jacfwd()
    • CuPyBackend.jacrev()
    • CuPyBackend.jaxy_scan()
    • CuPyBackend.jit()
    • CuPyBackend.jvp()
    • CuPyBackend.kron()
    • CuPyBackend.left_shift()
    • CuPyBackend.lexsort()
    • CuPyBackend.lobpcg_standard()
    • CuPyBackend.log()
    • CuPyBackend.matmul()
    • CuPyBackend.matvec()
    • CuPyBackend.max()
    • CuPyBackend.mean()
    • CuPyBackend.meshgrid()
    • CuPyBackend.min()
    • CuPyBackend.mod()
    • CuPyBackend.multiply()
    • CuPyBackend.norm()
    • CuPyBackend.numpy()
    • CuPyBackend.one_hot()
    • CuPyBackend.onehot()
    • CuPyBackend.ones()
    • CuPyBackend.ones_like()
    • CuPyBackend.outer_product()
    • CuPyBackend.pivot()
    • CuPyBackend.popc()
    • CuPyBackend.power()
    • CuPyBackend.probability_sample()
    • CuPyBackend.qr()
    • CuPyBackend.randn()
    • CuPyBackend.random_split()
    • CuPyBackend.random_uniform()
    • CuPyBackend.real()
    • CuPyBackend.relu()
    • CuPyBackend.repeat()
    • CuPyBackend.reshape()
    • CuPyBackend.reshape2()
    • CuPyBackend.reshaped()
    • CuPyBackend.reshapem()
    • CuPyBackend.reverse()
    • CuPyBackend.right_shift()
    • CuPyBackend.rq()
    • CuPyBackend.scan()
    • CuPyBackend.scatter()
    • CuPyBackend.schur()
    • CuPyBackend.searchsorted()
    • CuPyBackend.serialize_tensor()
    • CuPyBackend.set_random_state()
    • CuPyBackend.shape_concat()
    • CuPyBackend.shape_prod()
    • CuPyBackend.shape_tensor()
    • CuPyBackend.shape_tuple()
    • CuPyBackend.sigmoid()
    • CuPyBackend.sign()
    • CuPyBackend.sin()
    • CuPyBackend.sinh()
    • CuPyBackend.size()
    • CuPyBackend.sizen()
    • CuPyBackend.slice()
    • CuPyBackend.softmax()
    • CuPyBackend.solve()
    • CuPyBackend.sort()
    • CuPyBackend.sparse_csr_from_coo()
    • CuPyBackend.sparse_dense_matmul()
    • CuPyBackend.sparse_shape()
    • CuPyBackend.special_jv()
    • CuPyBackend.sqrt()
    • CuPyBackend.sqrtmh()
    • CuPyBackend.stack()
    • CuPyBackend.stateful_randc()
    • CuPyBackend.stateful_randn()
    • CuPyBackend.stateful_randu()
    • CuPyBackend.std()
    • CuPyBackend.stop_gradient()
    • CuPyBackend.subtraction()
    • CuPyBackend.sum()
    • CuPyBackend.svd()
    • CuPyBackend.switch()
    • CuPyBackend.tan()
    • CuPyBackend.tanh()
    • CuPyBackend.tensordot()
    • CuPyBackend.tile()
    • CuPyBackend.to_dense()
    • CuPyBackend.to_dlpack()
    • CuPyBackend.top_k()
    • CuPyBackend.trace()
    • CuPyBackend.transpose()
    • CuPyBackend.tree_flatten()
    • CuPyBackend.tree_map()
    • CuPyBackend.tree_unflatten()
    • CuPyBackend.unique_with_counts()
    • CuPyBackend.value_and_grad()
    • CuPyBackend.vectorized_value_and_grad()
    • CuPyBackend.vjp()
    • CuPyBackend.vmap()
    • CuPyBackend.vvag()
    • CuPyBackend.where()
    • CuPyBackend.zeros()
    • CuPyBackend.zeros_like()
  • cp
  • cpx
• tensorcircuit.backends.jax_backend
  • JaxBackend
    • JaxBackend.__init__()
    • JaxBackend.abs()
    • JaxBackend.acos()
    • JaxBackend.acosh()
    • JaxBackend.addition()
    • JaxBackend.adjoint()
    • JaxBackend.all()
    • JaxBackend.any()
    • JaxBackend.arange()
    • JaxBackend.argmax()
    • JaxBackend.argmin()
    • JaxBackend.argsort()
    • JaxBackend.asin()
    • JaxBackend.asinh()
    • JaxBackend.atan()
    • JaxBackend.atan2()
    • JaxBackend.atanh()
    • JaxBackend.bitwise_and()
    • JaxBackend.bitwise_or()
    • JaxBackend.bitwise_xor()
    • JaxBackend.broadcast_left_multiplication()
    • JaxBackend.broadcast_right_multiplication()
    • JaxBackend.cast()
    • JaxBackend.cholesky()
    • JaxBackend.clip()
    • JaxBackend.concat()
    • JaxBackend.cond()
    • JaxBackend.conj()
    • JaxBackend.convert_to_tensor()
    • JaxBackend.coo_sparse_matrix()
    • JaxBackend.coo_sparse_matrix_from_numpy()
    • JaxBackend.copy()
    • JaxBackend.cos()
    • JaxBackend.cosh()
    • JaxBackend.cumsum()
    • JaxBackend.deserialize_tensor()
    • JaxBackend.det()
    • JaxBackend.device()
    • JaxBackend.device_move()
    • JaxBackend.diagflat()
    • JaxBackend.diagonal()
    • JaxBackend.divide()
    • JaxBackend.dtype()
    • JaxBackend.eigh()
    • JaxBackend.eigs()
    • JaxBackend.eigsh()
    • JaxBackend.eigsh_lanczos()
    • JaxBackend.eigvalsh()
    • JaxBackend.einsum()
    • JaxBackend.eps()
    • JaxBackend.exp()
    • JaxBackend.expand_dims()
    • JaxBackend.expm()
    • JaxBackend.eye()
    • JaxBackend.floor()
    • JaxBackend.floor_divide()
    • JaxBackend.from_dlpack()
    • JaxBackend.gather1d()
    • JaxBackend.get_random_state()
    • JaxBackend.gmres()
    • JaxBackend.grad()
    • JaxBackend.hessian()
    • JaxBackend.i()
    • JaxBackend.imag()
    • JaxBackend.implicit_randc()
    • JaxBackend.implicit_randn()
    • JaxBackend.implicit_randu()
    • JaxBackend.index_update()
    • JaxBackend.inv()
    • JaxBackend.is_sparse()
    • JaxBackend.is_tensor()
    • JaxBackend.item()
    • JaxBackend.jacbwd()
    • JaxBackend.jacfwd()
    • JaxBackend.jacrev()
    • JaxBackend.jaxy_scan()
    • JaxBackend.jit()
    • JaxBackend.jvp()
    • JaxBackend.kron()
    • JaxBackend.left_shift()
    • JaxBackend.lexsort()
    • JaxBackend.lobpcg_standard()
    • JaxBackend.log()
    • JaxBackend.matmul()
    • JaxBackend.matvec()
    • JaxBackend.max()
    • JaxBackend.mean()
    • JaxBackend.meshgrid()
    • JaxBackend.min()
    • JaxBackend.mod()
    • JaxBackend.multiply()
    • JaxBackend.norm()
    • JaxBackend.numpy()
    • JaxBackend.one_hot()
    • JaxBackend.onehot()
    • JaxBackend.ones()
    • JaxBackend.ones_like()
    • JaxBackend.optimizer
    • JaxBackend.outer_product()
    • JaxBackend.pivot()
    • JaxBackend.popc()
    • JaxBackend.power()
    • JaxBackend.probability_sample()
    • JaxBackend.qr()
    • JaxBackend.randn()
    • JaxBackend.random_split()
    • JaxBackend.random_uniform()
    • JaxBackend.real()
    • JaxBackend.relu()
    • JaxBackend.repeat()
    • JaxBackend.reshape()
    • JaxBackend.reshape2()
    • JaxBackend.reshaped()
    • JaxBackend.reshapem()
    • JaxBackend.reverse()
    • JaxBackend.right_shift()
    • JaxBackend.rq()
    • JaxBackend.scan()
    • JaxBackend.scatter()
    • JaxBackend.schur()
    • JaxBackend.searchsorted()
    • JaxBackend.serialize_tensor()
    • JaxBackend.set_random_state()
    • JaxBackend.shape_concat()
    • JaxBackend.shape_prod()
    • JaxBackend.shape_tensor()
    • JaxBackend.shape_tuple()
    • JaxBackend.sigmoid()
    • JaxBackend.sign()
    • JaxBackend.sin()
    • JaxBackend.sinh()
    • JaxBackend.size()
    • JaxBackend.sizen()
    • JaxBackend.slice()
    • JaxBackend.softmax()
    • JaxBackend.solve()
    • JaxBackend.sort()
    • JaxBackend.sparse_csr_from_coo()
    • JaxBackend.sparse_dense_matmul()
    • JaxBackend.sparse_shape()
    • JaxBackend.special_jv()
    • JaxBackend.sqrt()
    • JaxBackend.sqrtmh()
    • JaxBackend.stack()
    • JaxBackend.stateful_randc()
    • JaxBackend.stateful_randn()
    • JaxBackend.stateful_randu()
    • JaxBackend.std()
    • JaxBackend.stop_gradient()
    • JaxBackend.subtraction()
    • JaxBackend.sum()
    • JaxBackend.svd()
    • JaxBackend.switch()
    • JaxBackend.tan()
    • JaxBackend.tanh()
    • JaxBackend.tensordot()
    • JaxBackend.tile()
    • JaxBackend.to_dense()
    • JaxBackend.to_dlpack()
    • JaxBackend.top_k()
    • JaxBackend.trace()
    • JaxBackend.transpose()
    • JaxBackend.tree_flatten()
    • JaxBackend.tree_map()
    • JaxBackend.tree_unflatten()
    • JaxBackend.unique_with_counts()
    • JaxBackend.value_and_grad()
    • JaxBackend.vectorized_value_and_grad()
    • JaxBackend.vjp()
    • JaxBackend.vmap()
    • JaxBackend.vvag()
    • JaxBackend.where()
    • JaxBackend.zeros()
    • JaxBackend.zeros_like()
  • bcsr_scalar_mul()
  • jnp
  • jsp
  • libjax
  • optax
  • optax_optimizer
    • optax_optimizer.__init__()
    • optax_optimizer.update()
• tensorcircuit.backends.numpy_backend
  • NumpyBackend
    • NumpyBackend.__init__()
    • NumpyBackend.abs()
    • NumpyBackend.acos()
    • NumpyBackend.acosh()
    • NumpyBackend.addition()
    • NumpyBackend.adjoint()
    • NumpyBackend.all()
    • NumpyBackend.any()
    • NumpyBackend.arange()
    • NumpyBackend.argmax()
    • NumpyBackend.argmin()
    • NumpyBackend.argsort()
    • NumpyBackend.asin()
    • NumpyBackend.asinh()
    • NumpyBackend.atan()
    • NumpyBackend.atan2()
    • NumpyBackend.atanh()
    • NumpyBackend.bitwise_and()
    • NumpyBackend.bitwise_or()
    • NumpyBackend.bitwise_xor()
    • NumpyBackend.broadcast_left_multiplication()
    • NumpyBackend.broadcast_right_multiplication()
    • NumpyBackend.cast()
    • NumpyBackend.cholesky()
    • NumpyBackend.clip()
    • NumpyBackend.concat()
    • NumpyBackend.cond()
    • NumpyBackend.conj()
    • NumpyBackend.convert_to_tensor()
    • NumpyBackend.coo_sparse_matrix()
    • NumpyBackend.coo_sparse_matrix_from_numpy()
    • NumpyBackend.copy()
    • NumpyBackend.cos()
    • NumpyBackend.cosh()
    • NumpyBackend.cumsum()
    • NumpyBackend.deserialize_tensor()
    • NumpyBackend.det()
    • NumpyBackend.device()
    • NumpyBackend.device_move()
    • NumpyBackend.diagflat()
    • NumpyBackend.diagonal()
    • NumpyBackend.divide()
    • NumpyBackend.dtype()
    • NumpyBackend.eigh()
    • NumpyBackend.eigs()
    • NumpyBackend.eigsh()
    • NumpyBackend.eigsh_lanczos()
    • NumpyBackend.eigvalsh()
    • NumpyBackend.einsum()
    • NumpyBackend.eps()
    • NumpyBackend.exp()
    • NumpyBackend.expand_dims()
    • NumpyBackend.expm()
    • NumpyBackend.eye()
    • NumpyBackend.floor()
    • NumpyBackend.floor_divide()
    • NumpyBackend.from_dlpack()
    • NumpyBackend.gather1d()
    • NumpyBackend.get_random_state()
    • NumpyBackend.gmres()
    • NumpyBackend.grad()
    • NumpyBackend.hessian()
    • NumpyBackend.i()
    • NumpyBackend.imag()
    • NumpyBackend.implicit_randc()
    • NumpyBackend.implicit_randn()
    • NumpyBackend.implicit_randu()
    • NumpyBackend.index_update()
    • NumpyBackend.inv()
    • NumpyBackend.is_sparse()
    • NumpyBackend.is_tensor()
    • NumpyBackend.item()
    • NumpyBackend.jacbwd()
    • NumpyBackend.jacfwd()
    • NumpyBackend.jacrev()
    • NumpyBackend.jaxy_scan()
    • NumpyBackend.jit()
    • NumpyBackend.jvp()
    • NumpyBackend.kron()
    • NumpyBackend.left_shift()
    • NumpyBackend.lexsort()
    • NumpyBackend.lobpcg_standard()
    • NumpyBackend.log()
    • NumpyBackend.matmul()
    • NumpyBackend.matvec()
    • NumpyBackend.max()
    • NumpyBackend.mean()
    • NumpyBackend.meshgrid()
    • NumpyBackend.min()
    • NumpyBackend.mod()
    • NumpyBackend.multiply()
    • NumpyBackend.norm()
    • NumpyBackend.numpy()
    • NumpyBackend.one_hot()
    • NumpyBackend.onehot()
    • NumpyBackend.ones()
    • NumpyBackend.ones_like()
    • NumpyBackend.outer_product()
    • NumpyBackend.pivot()
    • NumpyBackend.popc()
    • NumpyBackend.power()
    • NumpyBackend.probability_sample()
    • NumpyBackend.qr()
    • NumpyBackend.randn()
    • NumpyBackend.random_split()
    • NumpyBackend.random_uniform()
    • NumpyBackend.real()
    • NumpyBackend.relu()
    • NumpyBackend.repeat()
    • NumpyBackend.reshape()
    • NumpyBackend.reshape2()
    • NumpyBackend.reshaped()
    • NumpyBackend.reshapem()
    • NumpyBackend.reverse()
    • NumpyBackend.right_shift()
    • NumpyBackend.rq()
    • NumpyBackend.scan()
    • NumpyBackend.scatter()
    • NumpyBackend.schur()
    • NumpyBackend.searchsorted()
    • NumpyBackend.serialize_tensor()
    • NumpyBackend.set_random_state()
    • NumpyBackend.shape_concat()
    • NumpyBackend.shape_prod()
    • NumpyBackend.shape_tensor()
    • NumpyBackend.shape_tuple()
    • NumpyBackend.sigmoid()
    • NumpyBackend.sign()
    • NumpyBackend.sin()
    • NumpyBackend.sinh()
    • NumpyBackend.size()
    • NumpyBackend.sizen()
    • NumpyBackend.slice()
    • NumpyBackend.softmax()
    • NumpyBackend.solve()
    • NumpyBackend.sort()
    • NumpyBackend.sparse_csr_from_coo()
    • NumpyBackend.sparse_dense_matmul()
    • NumpyBackend.sparse_shape()
    • NumpyBackend.special_jv()
    • NumpyBackend.sqrt()
    • NumpyBackend.sqrtmh()
    • NumpyBackend.stack()
    • NumpyBackend.stateful_randc()
    • NumpyBackend.stateful_randn()
    • NumpyBackend.stateful_randu()
    • NumpyBackend.std()
    • NumpyBackend.stop_gradient()
    • NumpyBackend.subtraction()
    • NumpyBackend.sum()
    • NumpyBackend.svd()
    • NumpyBackend.switch()
    • NumpyBackend.tan()
    • NumpyBackend.tanh()
    • NumpyBackend.tensordot()
    • NumpyBackend.tile()
    • NumpyBackend.to_dense()
    • NumpyBackend.to_dlpack()
    • NumpyBackend.top_k()
    • NumpyBackend.trace()
    • NumpyBackend.transpose()
    • NumpyBackend.tree_flatten()
    • NumpyBackend.tree_map()
    • NumpyBackend.tree_unflatten()
    • NumpyBackend.unique_with_counts()
    • NumpyBackend.value_and_grad()
    • NumpyBackend.vectorized_value_and_grad()
    • NumpyBackend.vjp()
    • NumpyBackend.vmap()
    • NumpyBackend.vvag()
    • NumpyBackend.where()
    • NumpyBackend.zeros()
    • NumpyBackend.zeros_like()
• tensorcircuit.backends.pytorch_backend
  • PyTorchBackend
    • PyTorchBackend.__init__()
    • PyTorchBackend.abs()
    • PyTorchBackend.acos()
    • PyTorchBackend.acosh()
    • PyTorchBackend.addition()
    • PyTorchBackend.adjoint()
    • PyTorchBackend.all()
    • PyTorchBackend.any()
    • PyTorchBackend.arange()
    • PyTorchBackend.argmax()
    • PyTorchBackend.argmin()
    • PyTorchBackend.argsort()
    • PyTorchBackend.asin()
    • PyTorchBackend.asinh()
    • PyTorchBackend.atan()
    • PyTorchBackend.atan2()
    • PyTorchBackend.atanh()
    • PyTorchBackend.bitwise_and()
    • PyTorchBackend.bitwise_or()
    • PyTorchBackend.bitwise_xor()
    • PyTorchBackend.broadcast_left_multiplication()
    • PyTorchBackend.broadcast_right_multiplication()
    • PyTorchBackend.cast()
    • PyTorchBackend.cholesky()
    • PyTorchBackend.clip()
    • PyTorchBackend.concat()
    • PyTorchBackend.cond()
    • PyTorchBackend.conj()
    • PyTorchBackend.convert_to_tensor()
    • PyTorchBackend.coo_sparse_matrix()
    • PyTorchBackend.coo_sparse_matrix_from_numpy()
    • PyTorchBackend.copy()
    • PyTorchBackend.cos()
    • PyTorchBackend.cosh()
    • PyTorchBackend.cumsum()
    • PyTorchBackend.deserialize_tensor()
    • PyTorchBackend.det()
    • PyTorchBackend.device()
    • PyTorchBackend.device_move()
    • PyTorchBackend.diagflat()
    • PyTorchBackend.diagonal()
    • PyTorchBackend.divide()
    • PyTorchBackend.dtype()
    • PyTorchBackend.eigh()
    • PyTorchBackend.eigs()
    • PyTorchBackend.eigsh()
    • PyTorchBackend.eigsh_lanczos()
    • PyTorchBackend.eigvalsh()
    • PyTorchBackend.einsum()
    • PyTorchBackend.eps()
    • PyTorchBackend.exp()
    • PyTorchBackend.expand_dims()
    • PyTorchBackend.expm()
    • PyTorchBackend.eye()
    • PyTorchBackend.floor()
    • PyTorchBackend.floor_divide()
    • PyTorchBackend.from_dlpack()
    • PyTorchBackend.gather1d()
    • PyTorchBackend.get_random_state()
    • PyTorchBackend.gmres()
    • PyTorchBackend.grad()
    • PyTorchBackend.hessian()
    • PyTorchBackend.i()
    • PyTorchBackend.imag()
    • PyTorchBackend.implicit_randc()
    • PyTorchBackend.implicit_randn()
    • PyTorchBackend.implicit_randu()
    • PyTorchBackend.index_update()
    • PyTorchBackend.inv()
    • PyTorchBackend.is_sparse()
    • PyTorchBackend.is_tensor()
    • PyTorchBackend.item()
    • PyTorchBackend.jacbwd()
    • PyTorchBackend.jacfwd()
    • PyTorchBackend.jacrev()
    • PyTorchBackend.jaxy_scan()
    • PyTorchBackend.jit()
    • PyTorchBackend.jvp()
    • PyTorchBackend.kron()
    • PyTorchBackend.left_shift()
    • PyTorchBackend.lexsort()
    • PyTorchBackend.lobpcg_standard()
    • PyTorchBackend.log()
    • PyTorchBackend.matmul()
    • PyTorchBackend.matvec()
    • PyTorchBackend.max()
    • PyTorchBackend.mean()
    • PyTorchBackend.meshgrid()
    • PyTorchBackend.min()
    • PyTorchBackend.mod()
    • PyTorchBackend.multiply()
    • PyTorchBackend.norm()
    • PyTorchBackend.numpy()
    • PyTorchBackend.one_hot()
    • PyTorchBackend.onehot()
    • PyTorchBackend.ones()
    • PyTorchBackend.ones_like()
    • PyTorchBackend.optimizer
    • PyTorchBackend.outer_product()
    • PyTorchBackend.pivot()
    • PyTorchBackend.popc()
    • PyTorchBackend.power()
    • PyTorchBackend.probability_sample()
    • PyTorchBackend.qr()
    • PyTorchBackend.randn()
    • PyTorchBackend.random_split()
    • PyTorchBackend.random_uniform()
    • PyTorchBackend.real()
    • PyTorchBackend.relu()
    • PyTorchBackend.repeat()
    • PyTorchBackend.reshape()
    • PyTorchBackend.reshape2()
    • PyTorchBackend.reshaped()
    • PyTorchBackend.reshapem()
    • PyTorchBackend.reverse()
    • PyTorchBackend.right_shift()
    • PyTorchBackend.rq()
    • PyTorchBackend.scan()
    • PyTorchBackend.scatter()
    • PyTorchBackend.schur()
    • PyTorchBackend.searchsorted()
    • PyTorchBackend.serialize_tensor()
    • PyTorchBackend.set_random_state()
    • PyTorchBackend.shape_concat()
    • PyTorchBackend.shape_prod()
    • PyTorchBackend.shape_tensor()
    • PyTorchBackend.shape_tuple()
    • PyTorchBackend.sigmoid()
    • PyTorchBackend.sign()
    • PyTorchBackend.sin()
    • PyTorchBackend.sinh()
    • PyTorchBackend.size()
    • PyTorchBackend.sizen()
    • PyTorchBackend.slice()
    • PyTorchBackend.softmax()
    • PyTorchBackend.solve()
    • PyTorchBackend.sort()
    • PyTorchBackend.sparse_csr_from_coo()
    • PyTorchBackend.sparse_dense_matmul()
    • PyTorchBackend.sparse_shape()
    • PyTorchBackend.special_jv()
    • PyTorchBackend.sqrt()
    • PyTorchBackend.sqrtmh()
    • PyTorchBackend.stack()
    • PyTorchBackend.stateful_randc()
    • PyTorchBackend.stateful_randn()
    • PyTorchBackend.stateful_randu()
    • PyTorchBackend.std()
    • PyTorchBackend.stop_gradient()
    • PyTorchBackend.subtraction()
    • PyTorchBackend.sum()
    • PyTorchBackend.svd()
    • PyTorchBackend.switch()
    • PyTorchBackend.tan()
    • PyTorchBackend.tanh()
    • PyTorchBackend.tensordot()
    • PyTorchBackend.tile()
    • PyTorchBackend.to_dense()
    • PyTorchBackend.to_dlpack()
    • PyTorchBackend.top_k()
    • PyTorchBackend.trace()
    • PyTorchBackend.transpose()
    • PyTorchBackend.tree_flatten()
    • PyTorchBackend.tree_map()
    • PyTorchBackend.tree_unflatten()
    • PyTorchBackend.unique_with_counts()
    • PyTorchBackend.value_and_grad()
    • PyTorchBackend.vectorized_value_and_grad()
    • PyTorchBackend.vjp()
    • PyTorchBackend.vmap()
    • PyTorchBackend.vvag()
    • PyTorchBackend.where()
    • PyTorchBackend.zeros()
    • PyTorchBackend.zeros_like()
  • torch_jit_func
    • torch_jit_func.__init__()
  • torch_optimizer
    • torch_optimizer.__init__()
    • torch_optimizer.update()
  • torchlib
• tensorcircuit.backends.tensorflow_backend
  • TensorFlowBackend
    • TensorFlowBackend.__init__()
    • TensorFlowBackend.abs()
    • TensorFlowBackend.acos()
    • TensorFlowBackend.acosh()
    • TensorFlowBackend.addition()
    • TensorFlowBackend.adjoint()
    • TensorFlowBackend.all()
    • TensorFlowBackend.any()
    • TensorFlowBackend.arange()
    • TensorFlowBackend.argmax()
    • TensorFlowBackend.argmin()
    • TensorFlowBackend.argsort()
    • TensorFlowBackend.asin()
    • TensorFlowBackend.asinh()
    • TensorFlowBackend.atan()
    • TensorFlowBackend.atan2()
    • TensorFlowBackend.atanh()
    • TensorFlowBackend.bitwise_and()
    • TensorFlowBackend.bitwise_or()
    • TensorFlowBackend.bitwise_xor()
    • TensorFlowBackend.broadcast_left_multiplication()
    • TensorFlowBackend.broadcast_right_multiplication()
    • TensorFlowBackend.cast()
    • TensorFlowBackend.cholesky()
    • TensorFlowBackend.clip()
    • TensorFlowBackend.concat()
    • TensorFlowBackend.cond()
    • TensorFlowBackend.conj()
    • TensorFlowBackend.convert_to_tensor()
    • TensorFlowBackend.coo_sparse_matrix()
    • TensorFlowBackend.coo_sparse_matrix_from_numpy()
    • TensorFlowBackend.copy()
    • TensorFlowBackend.cos()
    • TensorFlowBackend.cosh()
    • TensorFlowBackend.cumsum()
    • TensorFlowBackend.deserialize_tensor()
    • TensorFlowBackend.det()
    • TensorFlowBackend.device()
    • TensorFlowBackend.device_move()
    • TensorFlowBackend.diagflat()
    • TensorFlowBackend.diagonal()
    • TensorFlowBackend.divide()
    • TensorFlowBackend.dtype()
    • TensorFlowBackend.eigh()
    • TensorFlowBackend.eigs()
    • TensorFlowBackend.eigsh()
    • TensorFlowBackend.eigsh_lanczos()
    • TensorFlowBackend.eigvalsh()
    • TensorFlowBackend.einsum()
    • TensorFlowBackend.eps()
    • TensorFlowBackend.exp()
    • TensorFlowBackend.expand_dims()
    • TensorFlowBackend.expm()
    • TensorFlowBackend.eye()
    • TensorFlowBackend.floor()
    • TensorFlowBackend.floor_divide()
    • TensorFlowBackend.from_dlpack()
    • TensorFlowBackend.gather1d()
    • TensorFlowBackend.get_random_state()
    • TensorFlowBackend.gmres()
    • TensorFlowBackend.grad()
    • TensorFlowBackend.hessian()
    • TensorFlowBackend.i()
    • TensorFlowBackend.imag()
    • TensorFlowBackend.implicit_randc()
    • TensorFlowBackend.implicit_randn()
    • TensorFlowBackend.implicit_randu()
    • TensorFlowBackend.index_update()
    • TensorFlowBackend.inv()
    • TensorFlowBackend.is_sparse()
    • TensorFlowBackend.is_tensor()
    • TensorFlowBackend.item()
    • TensorFlowBackend.jacbwd()
    • TensorFlowBackend.jacfwd()
    • TensorFlowBackend.jacrev()
    • TensorFlowBackend.jaxy_scan()
    • TensorFlowBackend.jit()
    • TensorFlowBackend.jvp()
    • TensorFlowBackend.kron()
    • TensorFlowBackend.left_shift()
    • TensorFlowBackend.lexsort()
    • TensorFlowBackend.lobpcg_standard()
    • TensorFlowBackend.log()
    • TensorFlowBackend.matmul()
    • TensorFlowBackend.matvec()
    • TensorFlowBackend.max()
    • TensorFlowBackend.mean()
    • TensorFlowBackend.meshgrid()
    • TensorFlowBackend.min()
    • TensorFlowBackend.mod()
    • TensorFlowBackend.multiply()
    • TensorFlowBackend.norm()
    • TensorFlowBackend.numpy()
    • TensorFlowBackend.one_hot()
    • TensorFlowBackend.onehot()
    • TensorFlowBackend.ones()
    • TensorFlowBackend.ones_like()
    • TensorFlowBackend.optimizer
    • TensorFlowBackend.outer_product()
    • TensorFlowBackend.pivot()
    • TensorFlowBackend.popc()
    • TensorFlowBackend.power()
    • TensorFlowBackend.probability_sample()
    • TensorFlowBackend.qr()
    • TensorFlowBackend.randn()
    • TensorFlowBackend.random_split()
    • TensorFlowBackend.random_uniform()
    • TensorFlowBackend.real()
    • TensorFlowBackend.relu()
    • TensorFlowBackend.repeat()
    • TensorFlowBackend.reshape()
    • TensorFlowBackend.reshape2()
    • TensorFlowBackend.reshaped()
    • TensorFlowBackend.reshapem()
    • TensorFlowBackend.reverse()
    • TensorFlowBackend.right_shift()
    • TensorFlowBackend.rq()
    • TensorFlowBackend.scan()
    • TensorFlowBackend.scatter()
    • TensorFlowBackend.schur()
    • TensorFlowBackend.searchsorted()
    • TensorFlowBackend.serialize_tensor()
    • TensorFlowBackend.set_random_state()
    • TensorFlowBackend.shape_concat()
    • TensorFlowBackend.shape_prod()
    • TensorFlowBackend.shape_tensor()
    • TensorFlowBackend.shape_tuple()
    • TensorFlowBackend.sigmoid()
    • TensorFlowBackend.sign()
    • TensorFlowBackend.sin()
    • TensorFlowBackend.sinh()
    • TensorFlowBackend.size()
    • TensorFlowBackend.sizen()
    • TensorFlowBackend.slice()
    • TensorFlowBackend.softmax()
    • TensorFlowBackend.solve()
    • TensorFlowBackend.sort()
    • TensorFlowBackend.sparse_csr_from_coo()
    • TensorFlowBackend.sparse_dense_matmul()
    • TensorFlowBackend.sparse_shape()
    • TensorFlowBackend.special_jv()
    • TensorFlowBackend.sqrt()
    • TensorFlowBackend.sqrtmh()
    • TensorFlowBackend.stack()
    • TensorFlowBackend.stateful_randc()
    • TensorFlowBackend.stateful_randn()
    • TensorFlowBackend.stateful_randu()
    • TensorFlowBackend.std()
    • TensorFlowBackend.stop_gradient()
    • TensorFlowBackend.subtraction()
    • TensorFlowBackend.sum()
    • TensorFlowBackend.svd()
    • TensorFlowBackend.switch()
    • TensorFlowBackend.tan()
    • TensorFlowBackend.tanh()
    • TensorFlowBackend.tensordot()
    • TensorFlowBackend.tile()
    • TensorFlowBackend.to_dense()
    • TensorFlowBackend.to_dlpack()
    • TensorFlowBackend.top_k()
    • TensorFlowBackend.trace()
    • TensorFlowBackend.transpose()
    • TensorFlowBackend.tree_flatten()
    • TensorFlowBackend.tree_map()
    • TensorFlowBackend.tree_unflatten()
    • TensorFlowBackend.unique_with_counts()
    • TensorFlowBackend.value_and_grad()
    • TensorFlowBackend.vectorized_value_and_grad()
    • TensorFlowBackend.vjp()
    • TensorFlowBackend.vmap()
    • TensorFlowBackend.vvag()
    • TensorFlowBackend.where()
    • TensorFlowBackend.zeros()
    • TensorFlowBackend.zeros_like()
  • keras_optimizer
    • keras_optimizer.__init__()
    • keras_optimizer.update()
  • sparse_tensor_matmul()
  • tf