tensorcircuit.applications

• tensorcircuit.applications.ai
  • tensorcircuit.applications.ai.ensemble
    • bagging
      • bagging.__init__()
      • bagging.append()
      • bagging.compile()
      • bagging.eval()
      • bagging.predict()
      • bagging.train()
• tensorcircuit.applications.dqas
  • DQAS_search()
  • DQAS_search_pmb()
  • evaluate_everyone()
  • get_op_pool()
  • get_preset()
  • get_var()
  • get_weights()
  • get_weights_v2()
  • history_loss()
  • micro_sample()
  • parallel_kernel()
  • parallel_qaoa_train()
  • preset_byprob()
  • qaoa_simple_train()
  • repr_op()
  • set_op_pool()
  • single_generator()
  • van_regularization()
  • van_sample()
  • verbose_output()
  • void_generator()
• tensorcircuit.applications.finance
  • tensorcircuit.applications.finance.portfolio
    • QUBO_from_portfolio()
    • StockData
      • StockData.__init__()
      • StockData.get_covariance()
      • StockData.get_return()
• tensorcircuit.applications.graphdata
  • Grid2D()
  • Triangle2D()
  • all_nodes_covered()
  • dict2graph()
  • dress_graph_with_cirq_qubit()
  • ensemble_maxcut_solution()
  • erdos_graph_generator()
  • even1D()
  • get_graph()
  • graph1D()
  • maxcut_solution_bruteforce()
  • odd1D()
  • reduce_edges()
  • reduced_ansatz()
  • regular_graph_generator()
  • split_ansatz()
• tensorcircuit.applications.layers
  • Hlayer()
  • Ilayer()
  • anyHlayer()
  • anyIlayer()
  • anyrxlayer()
  • anyrylayer()
  • anyrzlayer()
  • anyswaplayer()
  • anyswaplayer_bitflip_mc()
  • anyxxlayer()
  • anyxxlayer_bitflip_mc()
  • anyxylayer()
  • anyxylayer_bitflip_mc()
  • anyxzlayer()
  • anyxzlayer_bitflip_mc()
  • anyyxlayer()
  • anyyxlayer_bitflip_mc()
  • anyyylayer()
  • anyyylayer_bitflip_mc()
  • anyyzlayer()
  • anyyzlayer_bitflip_mc()
  • anyzxlayer()
  • anyzxlayer_bitflip_mc()
  • anyzylayer()
  • anyzylayer_bitflip_mc()
  • anyzzlayer()
  • anyzzlayer_bitflip_mc()
  • bitfliplayer()
  • bitfliplayer_mc()
  • cirqHlayer()
  • cirqanyrxlayer()
  • cirqanyrylayer()
  • cirqanyrzlayer()
  • cirqanyswaplayer()
  • cirqanyxxlayer()
  • cirqanyxylayer()
  • cirqanyxzlayer()
  • cirqanyyxlayer()
  • cirqanyyylayer()
  • cirqanyyzlayer()
  • cirqanyzxlayer()
  • cirqanyzylayer()
  • cirqanyzzlayer()
  • cirqcnotgate()
  • cirqcnotlayer()
  • cirqrxlayer()
  • cirqrylayer()
  • cirqrzlayer()
  • cirqswapgate()
  • cirqswaplayer()
  • cirqxxgate()
  • cirqxxlayer()
  • cirqxygate()
  • cirqxylayer()
  • cirqxzgate()
  • cirqxzlayer()
  • cirqyxgate()
  • cirqyxlayer()
  • cirqyygate()
  • cirqyylayer()
  • cirqyzgate()
  • cirqyzlayer()
  • cirqzxgate()
  • cirqzxlayer()
  • cirqzygate()
  • cirqzylayer()
  • cirqzzgate()
  • cirqzzlayer()
  • generate_any_double_gate_layer()
  • generate_any_double_gate_layer_bitflip_mc()
  • generate_any_gate_layer()
  • generate_cirq_any_double_gate_layer()
  • generate_cirq_any_gate_layer()
  • generate_cirq_double_gate()
  • generate_cirq_double_gate_layer()
  • generate_cirq_gate_layer()
  • generate_double_gate()
  • generate_double_gate_layer()
  • generate_double_gate_layer_bitflip()
  • generate_double_gate_layer_bitflip_mc()
  • generate_double_layer_block()
  • generate_gate_layer()
  • generate_qubits()
  • rx_rx_block()
  • rx_ry_block()
  • rx_rz_block()
  • rx_xx_block()
  • rx_yy_block()
  • rx_zz_block()
  • rxlayer()
  • ry_rx_block()
  • ry_ry_block()
  • ry_rz_block()
  • ry_xx_block()
  • ry_yy_block()
  • ry_zz_block()
  • rylayer()
  • rz_rx_block()
  • rz_ry_block()
  • rz_rz_block()
  • rz_xx_block()
  • rz_yy_block()
  • rz_zz_block()
  • rzlayer()
  • xx_rx_block()
  • xx_ry_block()
  • xx_rz_block()
  • xx_xx_block()
  • xx_yy_block()
  • xx_zz_block()
  • xxgate()
  • xxlayer()
  • xxlayer_bitflip()
  • xxlayer_bitflip_mc()
  • xygate()
  • xylayer()
  • xylayer_bitflip()
  • xylayer_bitflip_mc()
  • xzgate()
  • xzlayer()
  • xzlayer_bitflip()
  • xzlayer_bitflip_mc()
  • yxgate()
  • yxlayer()
  • yxlayer_bitflip()
  • yxlayer_bitflip_mc()
  • yy_rx_block()
  • yy_ry_block()
  • yy_rz_block()
  • yy_xx_block()
  • yy_yy_block()
  • yy_zz_block()
  • yygate()
  • yylayer()
  • yylayer_bitflip()
  • yylayer_bitflip_mc()
  • yzgate()
  • yzlayer()
  • yzlayer_bitflip()
  • yzlayer_bitflip_mc()
  • zxgate()
  • zxlayer()
  • zxlayer_bitflip()
  • zxlayer_bitflip_mc()
  • zygate()
  • zylayer()
  • zylayer_bitflip()
  • zylayer_bitflip_mc()
  • zz_rx_block()
  • zz_ry_block()
  • zz_rz_block()
  • zz_xx_block()
  • zz_yy_block()
  • zz_zz_block()
  • zzgate()
  • zzlayer()
  • zzlayer_bitflip()
  • zzlayer_bitflip_mc()
• tensorcircuit.applications.optimization
  • Ising_loss()
  • QAOA_loss()
  • QUBO_QAOA()
  • QUBO_QAOA_cvar()
  • cvar_from_circuit()
  • cvar_from_expectation()
  • cvar_loss()
  • cvar_value()
• tensorcircuit.applications.physics
  • tensorcircuit.applications.physics.baseline
    • Heisenberg1Denergy()
    • TFIM1Denergy()
  • tensorcircuit.applications.physics.fss
    • data_collapse()
    • pc_linear_interpolation()
• tensorcircuit.applications.utils
  • FakeModule
  • amplitude_encoding()
  • color_svg()
  • generate_random_circuit()
  • mnist_amplitude_data()
  • mnist_generator()
  • naive_qml_vag()
  • recursive_index()
  • repr2array()
  • train_qml_vag()
  • validate_qml_vag()
• tensorcircuit.applications.vags
  • GHZ_vag()
  • GHZ_vag_tfq()
  • ave_func()
  • compose_tc_circuit_with_multiple_pools()
  • correlation()
  • cvar()
  • double_qubits_initial()
  • double_state()
  • energy()
  • entanglement_entropy()
  • entropy()
  • evaluate_vag()
  • exp_forward()
  • fidelity()
  • free_energy()
  • gapfilling()
  • gatewise_vqe_vag()
  • gibbs_state()
  • heisenberg_measurements()
  • heisenberg_measurements_tc()
  • maxcut_measurements_tc()
  • noise_forward()
  • noisyfy()
  • q()
  • qaoa_block_vag()
  • qaoa_block_vag_energy()
  • qaoa_noise_vag()
  • qaoa_train()
  • qaoa_vag()
  • qaoa_vag_energy()
  • qft_circuit()
  • qft_qem_vag()
  • quantum_mp_qaoa_vag()
  • quantum_qaoa_vag()
  • reduced_density_matrix()
  • renyi_entropy()
  • renyi_free_energy()
  • taylorlnm()
  • tfim_measurements()
  • tfim_measurements_tc()
  • trace_distance()
  • truncated_free_energy()
  • unitary_design()
  • unitary_design_block()
• tensorcircuit.applications.van
  • MADE
    • MADE.__init__()
    • MADE.add_loss()
    • MADE.add_metric()
    • MADE.add_variable()
    • MADE.add_weight()
    • MADE.build()
    • MADE.build_from_config()
    • MADE.call()
    • MADE.compile()
    • MADE.compile_from_config()
    • MADE.compiled_loss()
    • MADE.compiled_metrics
    • MADE.compute_dtype
    • MADE.compute_loss()
    • MADE.compute_mask()
    • MADE.compute_metrics()
    • MADE.compute_output_shape()
    • MADE.compute_output_spec()
    • MADE.count_params()
    • MADE.distribute_reduction_method
    • MADE.distribute_strategy
    • MADE.dtype
    • MADE.dtype_policy
    • MADE.evaluate()
    • MADE.export()
    • MADE.fit()
    • MADE.from_config()
    • MADE.get_build_config()
    • MADE.get_compile_config()
    • MADE.get_config()
    • MADE.get_layer()
    • MADE.get_metrics_result()
    • MADE.get_quantization_layer_structure()
    • MADE.get_state_tree()
    • MADE.get_weights()
    • MADE.input
    • MADE.input_dtype
    • MADE.input_spec
    • MADE.jit_compile
    • MADE.layers
    • MADE.load_own_variables()
    • MADE.load_weights()
    • MADE.log_prob()
    • MADE.loss()
    • MADE.losses
    • MADE.make_predict_function()
    • MADE.make_test_function()
    • MADE.make_train_function()
    • MADE.metrics
    • MADE.metrics_names
    • MADE.metrics_variables
    • MADE.model()
    • MADE.non_trainable_variables
    • MADE.non_trainable_weights
    • MADE.output
    • MADE.path
    • MADE.predict()
    • MADE.predict_on_batch()
    • MADE.predict_step()
    • MADE.quantization_mode
    • MADE.quantize()
    • MADE.quantized_build()
    • MADE.quantized_call()
    • MADE.regularization()
    • MADE.rematerialized_call()
    • MADE.reset_metrics()
    • MADE.run_eagerly
    • MADE.sample()
    • MADE.save()
    • MADE.save_own_variables()
    • MADE.save_weights()
    • MADE.set_state_tree()
    • MADE.set_weights()
    • MADE.stateless_call()
    • MADE.stateless_compute_loss()
    • MADE.summary()
    • MADE.supports_masking
    • MADE.symbolic_call()
    • MADE.test_on_batch()
    • MADE.test_step()
    • MADE.to_json()
    • MADE.train_on_batch()
    • MADE.train_step()
    • MADE.trainable
    • MADE.trainable_variables
    • MADE.trainable_weights
    • MADE.variable_dtype
    • MADE.variables
    • MADE.weights
  • MaskedConv2D
    • MaskedConv2D.__init__()
    • MaskedConv2D.add_loss()
    • MaskedConv2D.add_metric()
    • MaskedConv2D.add_variable()
    • MaskedConv2D.add_weight()
    • MaskedConv2D.build()
    • MaskedConv2D.build_from_config()
    • MaskedConv2D.call()
    • MaskedConv2D.compute_dtype
    • MaskedConv2D.compute_mask()
    • MaskedConv2D.compute_output_shape()
    • MaskedConv2D.compute_output_spec()
    • MaskedConv2D.count_params()
    • MaskedConv2D.dtype
    • MaskedConv2D.dtype_policy
    • MaskedConv2D.from_config()
    • MaskedConv2D.get_build_config()
    • MaskedConv2D.get_config()
    • MaskedConv2D.get_weights()
    • MaskedConv2D.input
    • MaskedConv2D.input_dtype
    • MaskedConv2D.input_spec
    • MaskedConv2D.load_own_variables()
    • MaskedConv2D.losses
    • MaskedConv2D.metrics
    • MaskedConv2D.metrics_variables
    • MaskedConv2D.non_trainable_variables
    • MaskedConv2D.non_trainable_weights
    • MaskedConv2D.output
    • MaskedConv2D.path
    • MaskedConv2D.quantization_mode
    • MaskedConv2D.quantize()
    • MaskedConv2D.quantized_build()
    • MaskedConv2D.quantized_call()
    • MaskedConv2D.rematerialized_call()
    • MaskedConv2D.save_own_variables()
    • MaskedConv2D.set_weights()
    • MaskedConv2D.stateless_call()
    • MaskedConv2D.supports_masking
    • MaskedConv2D.symbolic_call()
    • MaskedConv2D.trainable
    • MaskedConv2D.trainable_variables
    • MaskedConv2D.trainable_weights
    • MaskedConv2D.variable_dtype
    • MaskedConv2D.variables
    • MaskedConv2D.weights
  • MaskedLinear
    • MaskedLinear.__init__()
    • MaskedLinear.add_loss()
    • MaskedLinear.add_metric()
    • MaskedLinear.add_variable()
    • MaskedLinear.add_weight()
    • MaskedLinear.build()
    • MaskedLinear.build_from_config()
    • MaskedLinear.call()
    • MaskedLinear.compute_dtype
    • MaskedLinear.compute_mask()
    • MaskedLinear.compute_output_shape()
    • MaskedLinear.compute_output_spec()
    • MaskedLinear.count_params()
    • MaskedLinear.dtype
    • MaskedLinear.dtype_policy
    • MaskedLinear.from_config()
    • MaskedLinear.get_build_config()
    • MaskedLinear.get_config()
    • MaskedLinear.get_weights()
    • MaskedLinear.input
    • MaskedLinear.input_dtype
    • MaskedLinear.input_spec
    • MaskedLinear.load_own_variables()
    • MaskedLinear.losses
    • MaskedLinear.metrics
    • MaskedLinear.metrics_variables
    • MaskedLinear.non_trainable_variables
    • MaskedLinear.non_trainable_weights
    • MaskedLinear.output
    • MaskedLinear.path
    • MaskedLinear.quantization_mode
    • MaskedLinear.quantize()
    • MaskedLinear.quantized_build()
    • MaskedLinear.quantized_call()
    • MaskedLinear.regularization()
    • MaskedLinear.rematerialized_call()
    • MaskedLinear.save_own_variables()
    • MaskedLinear.set_weights()
    • MaskedLinear.stateless_call()
    • MaskedLinear.supports_masking
    • MaskedLinear.symbolic_call()
    • MaskedLinear.trainable
    • MaskedLinear.trainable_variables
    • MaskedLinear.trainable_weights
    • MaskedLinear.variable_dtype
    • MaskedLinear.variables
    • MaskedLinear.weights
  • NMF
    • NMF.__init__()
    • NMF.add_loss()
    • NMF.add_metric()
    • NMF.add_variable()
    • NMF.add_weight()
    • NMF.build()
    • NMF.build_from_config()
    • NMF.call()
    • NMF.compile()
    • NMF.compile_from_config()
    • NMF.compiled_loss()
    • NMF.compiled_metrics
    • NMF.compute_dtype
    • NMF.compute_loss()
    • NMF.compute_mask()
    • NMF.compute_metrics()
    • NMF.compute_output_shape()
    • NMF.compute_output_spec()
    • NMF.count_params()
    • NMF.distribute_reduction_method
    • NMF.distribute_strategy
    • NMF.dtype
    • NMF.dtype_policy
    • NMF.evaluate()
    • NMF.export()
    • NMF.fit()
    • NMF.from_config()
    • NMF.get_build_config()
    • NMF.get_compile_config()
    • NMF.get_config()
    • NMF.get_layer()
    • NMF.get_metrics_result()
    • NMF.get_quantization_layer_structure()
    • NMF.get_state_tree()
    • NMF.get_weights()
    • NMF.input
    • NMF.input_dtype
    • NMF.input_spec
    • NMF.jit_compile
    • NMF.layers
    • NMF.load_own_variables()
    • NMF.load_weights()
    • NMF.log_prob()
    • NMF.loss()
    • NMF.losses
    • NMF.make_predict_function()
    • NMF.make_test_function()
    • NMF.make_train_function()
    • NMF.metrics
    • NMF.metrics_names
    • NMF.metrics_variables
    • NMF.non_trainable_variables
    • NMF.non_trainable_weights
    • NMF.output
    • NMF.path
    • NMF.predict()
    • NMF.predict_on_batch()
    • NMF.predict_step()
    • NMF.quantization_mode
    • NMF.quantize()
    • NMF.quantized_build()
    • NMF.quantized_call()
    • NMF.rematerialized_call()
    • NMF.reset_metrics()
    • NMF.run_eagerly
    • NMF.sample()
    • NMF.save()
    • NMF.save_own_variables()
    • NMF.save_weights()
    • NMF.set_state_tree()
    • NMF.set_weights()
    • NMF.stateless_call()
    • NMF.stateless_compute_loss()
    • NMF.summary()
    • NMF.supports_masking
    • NMF.symbolic_call()
    • NMF.test_on_batch()
    • NMF.test_step()
    • NMF.to_json()
    • NMF.train_on_batch()
    • NMF.train_step()
    • NMF.trainable
    • NMF.trainable_variables
    • NMF.trainable_weights
    • NMF.variable_dtype
    • NMF.variables
    • NMF.weights
  • PixelCNN
    • PixelCNN.__init__()
    • PixelCNN.add_loss()
    • PixelCNN.add_metric()
    • PixelCNN.add_variable()
    • PixelCNN.add_weight()
    • PixelCNN.build()
    • PixelCNN.build_from_config()
    • PixelCNN.call()
    • PixelCNN.compile()
    • PixelCNN.compile_from_config()
    • PixelCNN.compiled_loss()
    • PixelCNN.compiled_metrics
    • PixelCNN.compute_dtype
    • PixelCNN.compute_loss()
    • PixelCNN.compute_mask()
    • PixelCNN.compute_metrics()
    • PixelCNN.compute_output_shape()
    • PixelCNN.compute_output_spec()
    • PixelCNN.count_params()
    • PixelCNN.distribute_reduction_method
    • PixelCNN.distribute_strategy
    • PixelCNN.dtype
    • PixelCNN.dtype_policy
    • PixelCNN.evaluate()
    • PixelCNN.export()
    • PixelCNN.fit()
    • PixelCNN.from_config()
    • PixelCNN.get_build_config()
    • PixelCNN.get_compile_config()
    • PixelCNN.get_config()
    • PixelCNN.get_layer()
    • PixelCNN.get_metrics_result()
    • PixelCNN.get_quantization_layer_structure()
    • PixelCNN.get_state_tree()
    • PixelCNN.get_weights()
    • PixelCNN.input
    • PixelCNN.input_dtype
    • PixelCNN.input_spec
    • PixelCNN.jit_compile
    • PixelCNN.layers
    • PixelCNN.load_own_variables()
    • PixelCNN.load_weights()
    • PixelCNN.log_prob()
    • PixelCNN.loss()
    • PixelCNN.losses
    • PixelCNN.make_predict_function()
    • PixelCNN.make_test_function()
    • PixelCNN.make_train_function()
    • PixelCNN.metrics
    • PixelCNN.metrics_names
    • PixelCNN.metrics_variables
    • PixelCNN.non_trainable_variables
    • PixelCNN.non_trainable_weights
    • PixelCNN.output
    • PixelCNN.path
    • PixelCNN.predict()
    • PixelCNN.predict_on_batch()
    • PixelCNN.predict_step()
    • PixelCNN.quantization_mode
    • PixelCNN.quantize()
    • PixelCNN.quantized_build()
    • PixelCNN.quantized_call()
    • PixelCNN.rematerialized_call()
    • PixelCNN.reset_metrics()
    • PixelCNN.run_eagerly
    • PixelCNN.sample()
    • PixelCNN.save()
    • PixelCNN.save_own_variables()
    • PixelCNN.save_weights()
    • PixelCNN.set_state_tree()
    • PixelCNN.set_weights()
    • PixelCNN.stateless_call()
    • PixelCNN.stateless_compute_loss()
    • PixelCNN.summary()
    • PixelCNN.supports_masking
    • PixelCNN.symbolic_call()
    • PixelCNN.test_on_batch()
    • PixelCNN.test_step()
    • PixelCNN.to_json()
    • PixelCNN.train_on_batch()
    • PixelCNN.train_step()
    • PixelCNN.trainable
    • PixelCNN.trainable_variables
    • PixelCNN.trainable_weights
    • PixelCNN.variable_dtype
    • PixelCNN.variables
    • PixelCNN.weights
  • ResidualBlock
    • ResidualBlock.__init__()
    • ResidualBlock.add_loss()
    • ResidualBlock.add_metric()
    • ResidualBlock.add_variable()
    • ResidualBlock.add_weight()
    • ResidualBlock.build()
    • ResidualBlock.build_from_config()
    • ResidualBlock.call()
    • ResidualBlock.compute_dtype
    • ResidualBlock.compute_mask()
    • ResidualBlock.compute_output_shape()
    • ResidualBlock.compute_output_spec()
    • ResidualBlock.count_params()
    • ResidualBlock.dtype
    • ResidualBlock.dtype_policy
    • ResidualBlock.from_config()
    • ResidualBlock.get_build_config()
    • ResidualBlock.get_config()
    • ResidualBlock.get_weights()
    • ResidualBlock.input
    • ResidualBlock.input_dtype
    • ResidualBlock.input_spec
    • ResidualBlock.load_own_variables()
    • ResidualBlock.losses
    • ResidualBlock.metrics
    • ResidualBlock.metrics_variables
    • ResidualBlock.non_trainable_variables
    • ResidualBlock.non_trainable_weights
    • ResidualBlock.output
    • ResidualBlock.path
    • ResidualBlock.quantization_mode
    • ResidualBlock.quantize()
    • ResidualBlock.quantized_build()
    • ResidualBlock.quantized_call()
    • ResidualBlock.rematerialized_call()
    • ResidualBlock.save_own_variables()
    • ResidualBlock.set_weights()
    • ResidualBlock.stateless_call()
    • ResidualBlock.supports_masking
    • ResidualBlock.symbolic_call()
    • ResidualBlock.trainable
    • ResidualBlock.trainable_variables
    • ResidualBlock.trainable_weights
    • ResidualBlock.variable_dtype
    • ResidualBlock.variables
    • ResidualBlock.weights
• tensorcircuit.applications.vqes
  • JointSchedule
    • JointSchedule.__init__()
    • JointSchedule.from_config()
    • JointSchedule.get_config()
  • Linear
    • Linear.__init__()
    • Linear.add_loss()
    • Linear.add_metric()
    • Linear.add_variable()
    • Linear.add_weight()
    • Linear.build()
    • Linear.build_from_config()
    • Linear.call()
    • Linear.compute_dtype
    • Linear.compute_mask()
    • Linear.compute_output_shape()
    • Linear.compute_output_spec()
    • Linear.count_params()
    • Linear.dtype
    • Linear.dtype_policy
    • Linear.from_config()
    • Linear.get_build_config()
    • Linear.get_config()
    • Linear.get_weights()
    • Linear.input
    • Linear.input_dtype
    • Linear.input_spec
    • Linear.load_own_variables()
    • Linear.losses
    • Linear.metrics
    • Linear.metrics_variables
    • Linear.non_trainable_variables
    • Linear.non_trainable_weights
    • Linear.output
    • Linear.path
    • Linear.quantization_mode
    • Linear.quantize()
    • Linear.quantized_build()
    • Linear.quantized_call()
    • Linear.rematerialized_call()
    • Linear.save_own_variables()
    • Linear.set_weights()
    • Linear.stateless_call()
    • Linear.supports_masking
    • Linear.symbolic_call()
    • Linear.trainable
    • Linear.trainable_variables
    • Linear.trainable_weights
    • Linear.variable_dtype
    • Linear.variables
    • Linear.weights
  • VQNHE
    • VQNHE.__init__()
    • VQNHE.assign()
    • VQNHE.create_circuit()
    • VQNHE.create_complex_model()
    • VQNHE.create_complex_rbm_model()
    • VQNHE.create_functional_circuit()
    • VQNHE.create_hea2_circuit()
    • VQNHE.create_hea_circuit()
    • VQNHE.create_hn_circuit()
    • VQNHE.create_model()
    • VQNHE.create_real_model()
    • VQNHE.create_real_rbm_model()
    • VQNHE.evaluation()
    • VQNHE.load()
    • VQNHE.multi_training()
    • VQNHE.plain_evaluation()
    • VQNHE.recover()
    • VQNHE.save()
    • VQNHE.training()
  • construct_matrix()
  • construct_matrix_tf()
  • construct_matrix_v2()
  • construct_matrix_v3()
  • paulistring()
  • vqe_energy()
  • vqe_energy_shortcut()