J_1 J_2 model GCI

[marekgluza]

The J1 J2 mode is defined

• it is still 2 local in the sense of compiling even though the range is 2 local

• decide if to use the compiling approach here
  

  boostvqe/src/boostvqe/compiling_XXZ.py

  Lines 53 to 60 in c6da8c5

  	circuit.add(gates.RZ(q_ip1, -np.pi / 2) for q_ip1 in list_q_ip1)
  	circuit.add(gates.CNOT(q_ip1, q_i) for q_i, q_ip1 in zip(list_q_i, list_q_ip1))
  	circuit.add(gates.RZ(q_i, -2 * gamma + np.pi / 2) for q_i in list_q_i)
  	circuit.add(gates.RY(q_ip1, -np.pi / 2 + 2 * alpha) for q_ip1 in list_q_ip1)
  	circuit.add(gates.CNOT(q_i, q_ip1) for q_i, q_ip1 in zip(list_q_i, list_q_ip1))
  	circuit.add(gates.RY(q_ip1, -2 * beta + np.pi / 2) for q_ip1 in list_q_ip1)
  	circuit.add(gates.CNOT(q_ip1, q_i) for q_i, q_ip1 in zip(list_q_i, list_q_ip1))
  	circuit.add(gates.RZ(q_i, np.pi / 2) for q_i in list_q_i)

  
  vs just create symbolic hamiltonian and run SymbolicHamiltonianEvolutionOracle #69

• I suggest that we parallelize: @shangtai populates the gates and @jykhoo1987 does SymbolicHamiltonianEvolutionOracle #69 first

• TFIM 2 CNOT not 3 CNOT compiling #70 is less priority as we don't run much with it

[marekgluza]

@Edoardo-Pedicillo

boostvqe/src/boostvqe/training_utils.py

Line 26 in dbd5251

class Model(Enum):

where can I find the J1-J2 that Matteo is running? Its not here, yes?

[Edoardo-Pedicillo]

It is there in main branch

boostvqe/src/boostvqe/training_utils.py

Lines 28 to 35 in 80b4068

	class Model(Enum):
	XXZ = lambda nqubits: hamiltonians.XXZ(
	nqubits=nqubits, delta=DEFAULT_DELTA, dense=False
	)
	XYZ = lambda nqubits: XYZ(nqubits=nqubits, delta=[0.5, 0.5], dense=False)
	TFIM = lambda nqubits: hamiltonians.TFIM(nqubits=nqubits, h=nqubits, dense=False)
	TLFIM = lambda nqubits: TLFIM(nqubits=nqubits, h=TLFIM_h, dense=False)
	J1J2 = lambda nqubits: J1J2(nqubits=nqubits, h=J1J2_h, dense=False)