tensorcircuit.mpscircuit#
Quantum circuit: MPS state simulator
- class tensorcircuit.mpscircuit.MPSCircuit(nqubits: int, center_position: Optional[int] = None, tensors: Optional[Sequence[Any]] = None, wavefunction: Optional[Union[tensorcircuit.quantum.QuVector, Any]] = None, split: Optional[Dict[str, Any]] = None)[源代码]#
基类:
tensorcircuit.abstractcircuit.AbstractCircuit
MPSCircuit
class. Simple usage demo below.mps = tc.MPSCircuit(3) mps.H(1) mps.CNOT(0, 1) mps.rx(2, theta=tc.num_to_tensor(1.)) mps.expectation((tc.gates.z(), 2))
- ANY(*index: int, **vars: Any) None #
Apply ANY gate with parameters on the circuit. See
tensorcircuit.gates.any_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CNOT(*index: int, **kws: Any) None #
Apply CNOT gate on the circuit. See
tensorcircuit.gates.cnot_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- CPHASE(*index: int, **vars: Any) None #
Apply CPHASE gate with parameters on the circuit. See
tensorcircuit.gates.cphase_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CR(*index: int, **vars: Any) None #
Apply CR gate with parameters on the circuit. See
tensorcircuit.gates.cr_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CRX(*index: int, **vars: Any) None #
Apply CRX gate with parameters on the circuit. See
tensorcircuit.gates.crx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CRY(*index: int, **vars: Any) None #
Apply CRY gate with parameters on the circuit. See
tensorcircuit.gates.cry_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CRZ(*index: int, **vars: Any) None #
Apply CRZ gate with parameters on the circuit. See
tensorcircuit.gates.crz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CU(*index: int, **vars: Any) None #
Apply CU gate with parameters on the circuit. See
tensorcircuit.gates.cu_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- CY(*index: int, **kws: Any) None #
Apply CY gate on the circuit. See
tensorcircuit.gates.cy_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.-1.j\\ 0.+0.j & 0.+0.j & 0.+1.j & 0.+0.j \end{bmatrix}\end{split}\]
- CZ(*index: int, **kws: Any) None #
Apply CZ gate on the circuit. See
tensorcircuit.gates.cz_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & -1.+0.j \end{bmatrix}\end{split}\]
- EXP(*index: int, **vars: Any) None #
Apply EXP gate with parameters on the circuit. See
tensorcircuit.gates.exp_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- EXP1(*index: int, **vars: Any) None #
Apply EXP1 gate with parameters on the circuit. See
tensorcircuit.gates.exp1_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- FREDKIN(*index: int, **kws: Any) None #
Apply FREDKIN gate on the circuit. See
tensorcircuit.gates.fredkin_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- H(*index: int, **kws: Any) None #
Apply H gate on the circuit. See
tensorcircuit.gates.h_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.70710677+0.j & 0.70710677+0.j\\ 0.70710677+0.j & -0.70710677+0.j \end{bmatrix}\end{split}\]
- I(*index: int, **kws: Any) None #
Apply I gate on the circuit. See
tensorcircuit.gates.i_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- ISWAP(*index: int, **vars: Any) None #
Apply ISWAP gate with parameters on the circuit. See
tensorcircuit.gates.iswap_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- MPO(*index: int, **vars: Any) None #
Apply mpo gate in MPO format on the circuit. See
tensorcircuit.gates.mpo_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- classmethod MPO_to_gate(tensors: Sequence[Any]) tensorcircuit.gates.Gate [源代码]#
Convert MPO to gate
- MULTICONTROL(*index: int, **vars: Any) None #
Apply multicontrol gate in MPO format on the circuit. See
tensorcircuit.gates.multicontrol_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ORX(*index: int, **vars: Any) None #
Apply ORX gate with parameters on the circuit. See
tensorcircuit.gates.orx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ORY(*index: int, **vars: Any) None #
Apply ORY gate with parameters on the circuit. See
tensorcircuit.gates.ory_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ORZ(*index: int, **vars: Any) None #
Apply ORZ gate with parameters on the circuit. See
tensorcircuit.gates.orz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- OX(*index: int, **kws: Any) None #
Apply OX gate on the circuit. See
tensorcircuit.gates.ox_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- OY(*index: int, **kws: Any) None #
Apply OY gate on the circuit. See
tensorcircuit.gates.oy_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 0.-1.j & 0.+0.j & 0.+0.j\\ 0.+1.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- OZ(*index: int, **kws: Any) None #
Apply OZ gate on the circuit. See
tensorcircuit.gates.oz_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & -1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- PHASE(*index: int, **vars: Any) None #
Apply PHASE gate with parameters on the circuit. See
tensorcircuit.gates.phase_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- R(*index: int, **vars: Any) None #
Apply R gate with parameters on the circuit. See
tensorcircuit.gates.r_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- RX(*index: int, **vars: Any) None #
Apply RX gate with parameters on the circuit. See
tensorcircuit.gates.rx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- RXX(*index: int, **vars: Any) None #
Apply RXX gate with parameters on the circuit. See
tensorcircuit.gates.rxx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- RY(*index: int, **vars: Any) None #
Apply RY gate with parameters on the circuit. See
tensorcircuit.gates.ry_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- RYY(*index: int, **vars: Any) None #
Apply RYY gate with parameters on the circuit. See
tensorcircuit.gates.ryy_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- RZ(*index: int, **vars: Any) None #
Apply RZ gate with parameters on the circuit. See
tensorcircuit.gates.rz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- RZZ(*index: int, **vars: Any) None #
Apply RZZ gate with parameters on the circuit. See
tensorcircuit.gates.rzz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- S(*index: int, **kws: Any) None #
Apply S gate on the circuit. See
tensorcircuit.gates.s_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+1.j \end{bmatrix}\end{split}\]
- SD(*index: int, **kws: Any) None #
Apply SD gate on the circuit. See
tensorcircuit.gates.sd_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 0.-1.j \end{bmatrix}\end{split}\]
- SWAP(*index: int, **kws: Any) None #
Apply SWAP gate on the circuit. See
tensorcircuit.gates.swap_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- T(*index: int, **kws: Any) None #
Apply T gate on the circuit. See
tensorcircuit.gates.t_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1. & +0.j & 0. & +0.j\\ 0. & +0.j & 0.70710677+0.70710677j \end{bmatrix}\end{split}\]
- TD(*index: int, **kws: Any) None #
Apply TD gate on the circuit. See
tensorcircuit.gates.td_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1. & +0.j & 0. & +0.j\\ 0. & +0.j & 0.70710677-0.70710677j \end{bmatrix}\end{split}\]
- TOFFOLI(*index: int, **kws: Any) None #
Apply TOFFOLI gate on the circuit. See
tensorcircuit.gates.toffoli_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- U(*index: int, **vars: Any) None #
Apply U gate with parameters on the circuit. See
tensorcircuit.gates.u_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- WROOT(*index: int, **kws: Any) None #
Apply WROOT gate on the circuit. See
tensorcircuit.gates.wroot_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.70710677+0.j & -0.5 & -0.5j\\ 0.5 & -0.5j & 0.70710677+0.j \end{bmatrix}\end{split}\]
- X(*index: int, **kws: Any) None #
Apply X gate on the circuit. See
tensorcircuit.gates.x_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 1.+0.j\\ 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- Y(*index: int, **kws: Any) None #
Apply Y gate on the circuit. See
tensorcircuit.gates.y_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 0.-1.j\\ 0.+1.j & 0.+0.j \end{bmatrix}\end{split}\]
- Z(*index: int, **kws: Any) None #
Apply Z gate on the circuit. See
tensorcircuit.gates.z_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & -1.+0.j \end{bmatrix}\end{split}\]
- __init__(nqubits: int, center_position: Optional[int] = None, tensors: Optional[Sequence[Any]] = None, wavefunction: Optional[Union[tensorcircuit.quantum.QuVector, Any]] = None, split: Optional[Dict[str, Any]] = None) None [源代码]#
MPSCircuit object based on state simulator.
- 参数
nqubits (int) -- The number of qubits in the circuit.
center_position (int, optional) -- The center position of MPS, default to 0
tensors (Sequence[Tensor], optional) -- If not None, the initial state of the circuit is taken as
tensors
instead of \(\vert 0\rangle^n\) qubits, defaults to None. Whentensors
are specified, ifcenter_position
is None, then the tensors are canonicalized, otherwise it is assumed the tensors are already canonicalized at thecenter_position
wavefunction (Tensor) -- If not None, it is transformed to the MPS form according to the split rules
split (Any) -- Split rules
- any(*index: int, **vars: Any) None #
Apply ANY gate with parameters on the circuit. See
tensorcircuit.gates.any_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- append(c: tensorcircuit.abstractcircuit.AbstractCircuit, indices: Optional[List[int]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
append circuit
c
before- Example
>>> c1 = tc.Circuit(2) >>> c1.H(0) >>> c1.H(1) >>> c2 = tc.Circuit(2) >>> c2.cnot(0, 1) >>> c1.append(c2) <tensorcircuit.circuit.Circuit object at 0x7f8402968970> >>> c1.draw() ┌───┐ q_0:┤ H ├──■── ├───┤┌─┴─┐ q_1:┤ H ├┤ X ├ └───┘└───┘
- 参数
c (BaseCircuit) -- The other circuit to be appended
indices (Optional[List[int]], optional) -- the qubit indices to which
c
is appended on. Defaults to None, which means plain concatenation.
- 返回
The composed circuit
- 返回类型
- append_from_qir(qir: List[Dict[str, Any]]) None #
Apply the ciurict in form of quantum intermediate representation after the current cirucit.
- Example
>>> c = tc.Circuit(3) >>> c.H(0) >>> c.to_qir() [{'gatef': h, 'gate': Gate(...), 'index': (0,), 'name': 'h', 'split': None, 'mpo': False}] >>> c2 = tc.Circuit(3) >>> c2.CNOT(0, 1) >>> c2.to_qir() [{'gatef': cnot, 'gate': Gate(...), 'index': (0, 1), 'name': 'cnot', 'split': None, 'mpo': False}] >>> c.append_from_qir(c2.to_qir()) >>> c.to_qir() [{'gatef': h, 'gate': Gate(...), 'index': (0,), 'name': 'h', 'split': None, 'mpo': False}, {'gatef': cnot, 'gate': Gate(...), 'index': (0, 1), 'name': 'cnot', 'split': None, 'mpo': False}]
- 参数
qir (List[Dict[str, Any]]) -- The quantum intermediate representation.
- apply(gate: Union[tensorcircuit.gates.Gate, tensorcircuit.quantum.QuOperator], *index: int, name: Optional[str] = None, split: Optional[Dict[str, Any]] = None, mpo: bool = False, ir_dict: Optional[Dict[str, Any]] = None) None #
Apply a general qubit gate on MPS.
- 参数
gate (Gate) -- The Gate to be applied
index (int) -- Qubit indices of the gate
- 引发
ValueError -- "MPS does not support application of gate on > 2 qubits."
- apply_MPO(tensors: Sequence[Any], index_left: int, center_left: bool = True, split: Optional[Dict[str, Any]] = None) None [源代码]#
Apply a MPO to the MPS
- apply_adjacent_double_gate(gate: tensorcircuit.gates.Gate, index1: int, index2: int, center_position: Optional[int] = None, split: Optional[Dict[str, Any]] = None) None [源代码]#
Apply a double qubit gate on adjacent qubits of Matrix Product States (MPS).
- 参数
gate (Gate) -- The Gate to be applied
index1 (int) -- The first qubit index of the gate
index2 (int) -- The second qubit index of the gate
center_position (Optional[int]) -- Center position of MPS, default is None
- apply_double_gate(gate: tensorcircuit.gates.Gate, index1: int, index2: int, split: Optional[Dict[str, Any]] = None) None [源代码]#
Apply a double qubit gate on MPS.
- 参数
gate (Gate) -- The Gate to be applied
index1 (int) -- The first qubit index of the gate
index2 (int) -- The second qubit index of the gate
- apply_general_gate(gate: Union[tensorcircuit.gates.Gate, tensorcircuit.quantum.QuOperator], *index: int, name: Optional[str] = None, split: Optional[Dict[str, Any]] = None, mpo: bool = False, ir_dict: Optional[Dict[str, Any]] = None) None [源代码]#
Apply a general qubit gate on MPS.
- 参数
gate (Gate) -- The Gate to be applied
index (int) -- Qubit indices of the gate
- 引发
ValueError -- "MPS does not support application of gate on > 2 qubits."
- static apply_general_gate_delayed(gatef: Callable[[], tensorcircuit.gates.Gate], name: Optional[str] = None, mpo: bool = False) Callable[[...], None] #
- static apply_general_variable_gate_delayed(gatef: Callable[[...], tensorcircuit.gates.Gate], name: Optional[str] = None, mpo: bool = False) Callable[[...], None] #
- apply_nqubit_gate(gate: tensorcircuit.gates.Gate, *index: int, split: Optional[Dict[str, Any]] = None) None [源代码]#
Apply a n-qubit gate by transforming the gate to MPO
- apply_single_gate(gate: tensorcircuit.gates.Gate, index: int) None [源代码]#
Apply a single qubit gate on MPS; no truncation is needed.
- 参数
gate (Gate) -- gate to be applied
index (int) -- Qubit index of the gate
- barrier_instruction(*index: List[int]) None #
add a barrier instruction flag, no effect on numerical simulation
- 参数
index (List[int]) -- the corresponding qubits
- ccnot(*index: int, **kws: Any) None #
Apply TOFFOLI gate on the circuit. See
tensorcircuit.gates.toffoli_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- ccx(*index: int, **kws: Any) None #
Apply TOFFOLI gate on the circuit. See
tensorcircuit.gates.toffoli_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- circuit_param: Dict[str, Any]#
- cnot(*index: int, **kws: Any) None #
Apply CNOT gate on the circuit. See
tensorcircuit.gates.cnot_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- cond_measure(index: int) Any #
Measurement on z basis at
index
qubit based on quantum amplitude (not post-selection). The highlight is that this method can return the measured result as a int Tensor and thus maintained a jittable pipeline.- Example
>>> c = tc.Circuit(2) >>> c.H(0) >>> r = c.cond_measurement(0) >>> c.conditional_gate(r, [tc.gates.i(), tc.gates.x()], 1) >>> c.expectation([tc.gates.z(), [0]]), c.expectation([tc.gates.z(), [1]]) # two possible outputs: (1, 1) or (-1, -1)
注解
In terms of
DMCircuit
, this method returns nothing and the density matrix after this method is kept in mixed state without knowing the measuremet resuslts- 参数
index (int) -- the qubit for the z-basis measurement
- 返回
0 or 1 for z measurement on up and down freedom
- 返回类型
Tensor
- cond_measurement(index: int) Any #
Measurement on z basis at
index
qubit based on quantum amplitude (not post-selection). The highlight is that this method can return the measured result as a int Tensor and thus maintained a jittable pipeline.- Example
>>> c = tc.Circuit(2) >>> c.H(0) >>> r = c.cond_measurement(0) >>> c.conditional_gate(r, [tc.gates.i(), tc.gates.x()], 1) >>> c.expectation([tc.gates.z(), [0]]), c.expectation([tc.gates.z(), [1]]) # two possible outputs: (1, 1) or (-1, -1)
注解
In terms of
DMCircuit
, this method returns nothing and the density matrix after this method is kept in mixed state without knowing the measuremet resuslts- 参数
index (int) -- the qubit for the z-basis measurement
- 返回
0 or 1 for z measurement on up and down freedom
- 返回类型
Tensor
- conditional_gate(which: Any, kraus: Sequence[tensorcircuit.gates.Gate], *index: int) None #
Apply
which
-th gate fromkraus
list, i.e. apply kraus[which]- 参数
which (Tensor) -- Tensor of shape [] and dtype int
kraus (Sequence[Gate]) -- A list of gate in the form of
tc.gate
or Tensorindex (int) -- the qubit lines the gate applied on
- conj() tensorcircuit.mpscircuit.MPSCircuit [源代码]#
Compute the conjugate of the current MPS.
- 返回
The constructed MPS
- 返回类型
- consecutive_swap(index_from: int, index_to: int, split: Optional[Dict[str, Any]] = None) None [源代码]#
- copy() tensorcircuit.mpscircuit.MPSCircuit [源代码]#
Copy the current MPS.
- 返回
The constructed MPS
- 返回类型
- copy_without_tensor() tensorcircuit.mpscircuit.MPSCircuit [源代码]#
Copy the current MPS without the tensors.
- 返回
The constructed MPS
- 返回类型
- cphase(*index: int, **vars: Any) None #
Apply CPHASE gate with parameters on the circuit. See
tensorcircuit.gates.cphase_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- cr(*index: int, **vars: Any) None #
Apply CR gate with parameters on the circuit. See
tensorcircuit.gates.cr_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- crx(*index: int, **vars: Any) None #
Apply CRX gate with parameters on the circuit. See
tensorcircuit.gates.crx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- cry(*index: int, **vars: Any) None #
Apply CRY gate with parameters on the circuit. See
tensorcircuit.gates.cry_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- crz(*index: int, **vars: Any) None #
Apply CRZ gate with parameters on the circuit. See
tensorcircuit.gates.crz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- cswap(*index: int, **kws: Any) None #
Apply FREDKIN gate on the circuit. See
tensorcircuit.gates.fredkin_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- cu(*index: int, **vars: Any) None #
Apply CU gate with parameters on the circuit. See
tensorcircuit.gates.cu_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- cx(*index: int, **kws: Any) None #
Apply CNOT gate on the circuit. See
tensorcircuit.gates.cnot_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- cy(*index: int, **kws: Any) None #
Apply CY gate on the circuit. See
tensorcircuit.gates.cy_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.-1.j\\ 0.+0.j & 0.+0.j & 0.+1.j & 0.+0.j \end{bmatrix}\end{split}\]
- cz(*index: int, **kws: Any) None #
Apply CZ gate on the circuit. See
tensorcircuit.gates.cz_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & -1.+0.j \end{bmatrix}\end{split}\]
- draw(**kws: Any) Any #
Visualise the circuit. This method recevies the keywords as same as qiskit.circuit.QuantumCircuit.draw. More details can be found here: https://qiskit.org/documentation/stubs/qiskit.circuit.QuantumCircuit.draw.html. Interesting kws options include: ``idle_wires``(bool)
- Example
>>> c = tc.Circuit(3) >>> c.H(1) >>> c.X(2) >>> c.CNOT(0, 1) >>> c.draw(output='text') q_0: ───────■── ┌───┐┌─┴─┐ q_1: ┤ H ├┤ X ├ ├───┤└───┘ q_2: ┤ X ├───── └───┘
- exp(*index: int, **vars: Any) None #
Apply EXP gate with parameters on the circuit. See
tensorcircuit.gates.exp_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- exp1(*index: int, **vars: Any) None #
Apply EXP1 gate with parameters on the circuit. See
tensorcircuit.gates.exp1_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- expectation(*ops: Tuple[tensorcircuit.gates.Gate, List[int]], reuse: bool = True, other: Optional[tensorcircuit.mpscircuit.MPSCircuit] = None, conj: bool = True, normalize: bool = False, split: Optional[Dict[str, Any]] = None, **kws: Any) Any [源代码]#
Compute the expectation of corresponding operators in the form of tensor.
- 参数
ops (Tuple[tn.Node, List[int]]) -- Operator and its position on the circuit, eg.
(gates.Z(), [1]), (gates.X(), [2])
is for operator \(Z_1X_2\)reuse (bool, optional) -- If True, then the wavefunction tensor is cached for further expectation evaluation, defaults to be true.
other (MPSCircuit, optional) -- If not None, will be used as bra
conj (bool, defaults to be True) -- Whether to conjugate the bra state
normalize (bool, defaults to be True) -- Whether to normalize the MPS
split (Any) -- Truncation split
- 返回
The expectation of corresponding operators
- 返回类型
Tensor
- expectation_ps(x: Optional[Sequence[int]] = None, y: Optional[Sequence[int]] = None, z: Optional[Sequence[int]] = None, ps: Optional[Sequence[int]] = None, reuse: bool = True, noise_conf: Optional[Any] = None, nmc: int = 1000, status: Optional[Any] = None, **kws: Any) Any #
Shortcut for Pauli string expectation. x, y, z list are for X, Y, Z positions
- Example
>>> c = tc.Circuit(2) >>> c.X(0) >>> c.H(1) >>> c.expectation_ps(x=[1], z=[0]) array(-0.99999994+0.j, dtype=complex64)
>>> c = tc.Circuit(2) >>> c.cnot(0, 1) >>> c.rx(0, theta=0.4) >>> c.rx(1, theta=0.8) >>> c.h(0) >>> c.h(1) >>> error1 = tc.channels.generaldepolarizingchannel(0.1, 1) >>> error2 = tc.channels.generaldepolarizingchannel(0.06, 2) >>> noise_conf = NoiseConf() >>> noise_conf.add_noise("rx", error1) >>> noise_conf.add_noise("cnot", [error2], [[0, 1]]) >>> c.expectation_ps(x=[0], noise_conf=noise_conf, nmc=10000) (0.46274087-3.764033e-09j)
- 参数
x (Optional[Sequence[int]], optional) -- sites to apply X gate, defaults to None
y (Optional[Sequence[int]], optional) -- sites to apply Y gate, defaults to None
z (Optional[Sequence[int]], optional) -- sites to apply Z gate, defaults to None
ps (Optional[Sequence[int]], optional) -- or one can apply a ps structures instead of
x
,y
,z
, e.g. [0, 1, 3, 0, 2, 2] for X_1Z_2Y_4Y_5 defaults to None,ps
can overwritex
,y
andz
reuse (bool, optional) -- whether to cache and reuse the wavefunction, defaults to True
noise_conf (Optional[NoiseConf], optional) -- Noise Configuration, defaults to None
nmc (int, optional) -- repetition time for Monte Carlo sampling for noisfy calculation, defaults to 1000
status (Optional[Tensor], optional) -- external randomness given by tensor uniformly from [0, 1], defaults to None, used for noisfy circuit sampling
- 返回
Expectation value
- 返回类型
Tensor
- fredkin(*index: int, **kws: Any) None #
Apply FREDKIN gate on the circuit. See
tensorcircuit.gates.fredkin_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- classmethod from_json(jsonstr: str, circuit_params: Optional[Dict[str, Any]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
load json str as a Circuit
- 参数
jsonstr (str) -- _description_
circuit_params (Optional[Dict[str, Any]], optional) -- Extra circuit parameters in the format of
__init__
, defaults to None
- 返回
_description_
- 返回类型
- classmethod from_json_file(file: str, circuit_params: Optional[Dict[str, Any]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
load json file and convert it to a circuit
- 参数
file (str) -- filename
circuit_params (Optional[Dict[str, Any]], optional) -- _description_, defaults to None
- 返回
_description_
- 返回类型
- classmethod from_openqasm(qasmstr: str, circuit_params: Optional[Dict[str, Any]] = None, keep_measure_order: bool = False) tensorcircuit.abstractcircuit.AbstractCircuit #
- classmethod from_openqasm_file(file: str, circuit_params: Optional[Dict[str, Any]] = None, keep_measure_order: bool = False) tensorcircuit.abstractcircuit.AbstractCircuit #
- classmethod from_qir(qir: List[Dict[str, Any]], circuit_params: Optional[Dict[str, Any]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
Restore the circuit from the quantum intermediate representation.
- Example
>>> c = tc.Circuit(3) >>> c.H(0) >>> c.rx(1, theta=tc.array_to_tensor(0.7)) >>> c.exp1(0, 1, unitary=tc.gates._zz_matrix, theta=tc.array_to_tensor(-0.2), split=split) >>> len(c) 7 >>> c.expectation((tc.gates.z(), [1])) array(0.764842+0.j, dtype=complex64) >>> qirs = c.to_qir() >>> >>> c = tc.Circuit.from_qir(qirs, circuit_params={"nqubits": 3}) >>> len(c._nodes) 7 >>> c.expectation((tc.gates.z(), [1])) array(0.764842+0.j, dtype=complex64)
- 参数
qir (List[Dict[str, Any]]) -- The quantum intermediate representation of a circuit.
circuit_params (Optional[Dict[str, Any]]) -- Extra circuit parameters.
- 返回
The circuit have same gates in the qir.
- 返回类型
- classmethod from_qiskit(qc: Any, n: Optional[int] = None, inputs: Optional[List[float]] = None, circuit_params: Optional[Dict[str, Any]] = None, binding_params: Optional[Union[Sequence[float], Dict[Any, float]]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
Import Qiskit QuantumCircuit object as a
tc.Circuit
object.- Example
>>> from qiskit import QuantumCircuit >>> qisc = QuantumCircuit(3) >>> qisc.h(2) >>> qisc.cswap(1, 2, 0) >>> qisc.swap(0, 1) >>> c = tc.Circuit.from_qiskit(qisc)
- 参数
qc (QuantumCircuit in Qiskit) -- Qiskit Circuit object
n (int) -- The number of qubits for the circuit
inputs (Optional[List[float]], optional) -- possible input wavefunction for
tc.Circuit
, defaults to Nonecircuit_params (Optional[Dict[str, Any]]) -- kwargs given in Circuit.__init__ construction function, default to None.
binding_params (Optional[Union[Sequence[float], Dict[Any, float]]]) -- (variational) parameters for the circuit. Could be either a sequence or dictionary depending on the type of parameters in the Qiskit circuit. For
ParameterVectorElement
use sequence. ForParameter
use dictionary
- 返回
The same circuit but as tensorcircuit object
- 返回类型
- classmethod from_qsim_file(file: str, circuit_params: Optional[Dict[str, Any]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
- gate_aliases = [['cnot', 'cx'], ['fredkin', 'cswap'], ['toffoli', 'ccnot'], ['toffoli', 'ccx'], ['any', 'unitary'], ['sd', 'sdg'], ['td', 'tdg']]#
- gate_count(gate_list: Optional[Union[str, Sequence[str]]] = None) int #
count the gate number of the circuit
- Example
>>> c = tc.Circuit(3) >>> c.h(0) >>> c.multicontrol(0, 1, 2, ctrl=[0, 1], unitary=tc.gates._x_matrix) >>> c.toffolli(1, 2, 0) >>> c.gate_count() 3 >>> c.gate_count(["multicontrol", "toffoli"]) 2
- 参数
gate_list (Optional[Sequence[str]], optional) -- gate name or gate name list to be counted, defaults to None (counting all gates)
- 返回
the total number of all gates or gates in the
gate_list
- 返回类型
int
- gate_count_by_condition(cond_func: Callable[[Dict[str, Any]], bool]) int #
count the number of gates that satisfy certain condition
- Example
>>> c = tc.Circuit(3) >>> c.x(0) >>> c.h(0) >>> c.multicontrol(0, 1, 2, ctrl=[0, 1], unitary=tc.gates._x_matrix) >>> c.gate_count_by_condition(lambda qir: qir["index"] == (0, )) 2 >>> c.gate_count_by_condition(lambda qir: qir["mpo"]) 1
- 参数
cond_func (Callable[[Dict[str, Any]], bool]) -- the condition for counting the gate
- 返回
the total number of all gates which satisfy the
condition
- 返回类型
int
- gate_summary() Dict[str, int] #
return the summary dictionary on gate type - gate count pair
- 返回
the gate count dict by gate type
- 返回类型
Dict[str, int]
- classmethod gate_to_MPO(gate: Union[tensorcircuit.gates.Gate, Any], *index: int) Tuple[Sequence[Any], int] [源代码]#
Convert gate to MPO form with identities at empty sites
- get_center_position() Optional[int] [源代码]#
Get the center position of the MPS
- 返回
center position
- 返回类型
Optional[int]
- get_norm() Any [源代码]#
Get the normalized Center Position.
- 返回
Normalized Center Position.
- 返回类型
Tensor
- get_positional_logical_mapping() Dict[int, int] #
Get positional logical mapping dict based on measure instruction. This function is useful when we only measure part of the qubits in the circuit, to process the count result from partial measurement, we must be aware of the mapping, i.e. for each position in the count bitstring, what is the corresponding qubits (logical) defined on the circuit
- 返回
positional_logical_mapping
- 返回类型
Dict[int, int]
- get_quvector() tensorcircuit.quantum.QuVector [源代码]#
- Get the representation of the output state in the form of
QuVector
has to be full contracted in MPS
- 返回
QuVector
representation of the output state from the circuit- 返回类型
- Get the representation of the output state in the form of
- h(*index: int, **kws: Any) None #
Apply H gate on the circuit. See
tensorcircuit.gates.h_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.70710677+0.j & 0.70710677+0.j\\ 0.70710677+0.j & -0.70710677+0.j \end{bmatrix}\end{split}\]
- i(*index: int, **kws: Any) None #
Apply I gate on the circuit. See
tensorcircuit.gates.i_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- initial_mapping(logical_physical_mapping: Dict[int, int], n: Optional[int] = None, circuit_params: Optional[Dict[str, Any]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
generate a new circuit with the qubit mapping given by
logical_physical_mapping
- 参数
logical_physical_mapping (Dict[int, int]) -- how to map logical qubits to the physical qubits on the new circuit
n (Optional[int], optional) -- number of qubit of the new circuit, can be different from the original one, defaults to None
circuit_params (Optional[Dict[str, Any]], optional) -- _description_, defaults to None
- 返回
_description_
- 返回类型
- inputs: Any#
- inverse(circuit_params: Optional[Dict[str, Any]] = None) tensorcircuit.abstractcircuit.AbstractCircuit #
inverse the circuit, return a new inversed circuit
- EXAMPLE
>>> c = tc.Circuit(2) >>> c.H(0) >>> c.rzz(1, 2, theta=0.8) >>> c1 = c.inverse()
- 参数
circuit_params (Optional[Dict[str, Any]], optional) -- keywords dict for initialization the new circuit, defaults to None
- 返回
the inversed circuit
- 返回类型
- is_mps: bool = True#
- is_valid() bool [源代码]#
Check whether the circuit is legal.
- 返回
Whether the circuit is legal.
- 返回类型
bool
- iswap(*index: int, **vars: Any) None #
Apply ISWAP gate with parameters on the circuit. See
tensorcircuit.gates.iswap_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- measure(*index: int, with_prob: bool = False, status: Optional[Any] = None) Tuple[Any, Any] [源代码]#
Take measurement to the given quantum lines.
- 参数
index (int) -- Measure on which quantum line.
with_prob (bool, optional) -- If true, theoretical probability is also returned.
status (Optional[Tensor]) -- external randomness, with shape [index], defaults to None
- 返回
The sample output and probability (optional) of the quantum line.
- 返回类型
Tuple[Tensor, Tensor]
- measure_instruction(*index: int) None #
add a measurement instruction flag, no effect on numerical simulation
- 参数
index (int) -- the corresponding qubits
- mid_measurement(index: int, keep: int = 0) None [源代码]#
Middle measurement in the z-basis on the circuit, note the wavefunction output is not normalized with
mid_measurement
involved, one should normalized the state manually if needed.- 参数
index (int) -- The index of qubit that the Z direction postselection applied on
keep (int, optional) -- 0 for spin up, 1 for spin down, defaults to 0
- mpo(*index: int, **vars: Any) None #
Apply mpo gate in MPO format on the circuit. See
tensorcircuit.gates.mpo_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- mpogates = ['multicontrol', 'mpo']#
- multicontrol(*index: int, **vars: Any) None #
Apply multicontrol gate in MPO format on the circuit. See
tensorcircuit.gates.multicontrol_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- orx(*index: int, **vars: Any) None #
Apply ORX gate with parameters on the circuit. See
tensorcircuit.gates.orx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ory(*index: int, **vars: Any) None #
Apply ORY gate with parameters on the circuit. See
tensorcircuit.gates.ory_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- orz(*index: int, **vars: Any) None #
Apply ORZ gate with parameters on the circuit. See
tensorcircuit.gates.orz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ox(*index: int, **kws: Any) None #
Apply OX gate on the circuit. See
tensorcircuit.gates.ox_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- oy(*index: int, **kws: Any) None #
Apply OY gate on the circuit. See
tensorcircuit.gates.oy_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 0.-1.j & 0.+0.j & 0.+0.j\\ 0.+1.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- oz(*index: int, **kws: Any) None #
Apply OZ gate on the circuit. See
tensorcircuit.gates.oz_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & -1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- phase(*index: int, **vars: Any) None #
Apply PHASE gate with parameters on the circuit. See
tensorcircuit.gates.phase_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- position(site: int) None [源代码]#
Wrapper of tn.FiniteMPS.position. Set orthogonality center.
- 参数
site (int) -- The orthogonality center
- prepend(c: tensorcircuit.abstractcircuit.AbstractCircuit) tensorcircuit.abstractcircuit.AbstractCircuit #
prepend circuit
c
before- 参数
c (BaseCircuit) -- The other circuit to be prepended
- 返回
The composed circuit
- 返回类型
- proj_with_mps(other: tensorcircuit.mpscircuit.MPSCircuit, conj: bool = True) Any [源代码]#
Compute the projection between other as bra and self as ket.
- 参数
other (MPSCircuit) -- ket of the other MPS, which will be converted to bra automatically
- 返回
The projection in form of tensor
- 返回类型
Tensor
- r(*index: int, **vars: Any) None #
Apply R gate with parameters on the circuit. See
tensorcircuit.gates.r_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- reduce_dimension(index_left: int, center_left: bool = True, split: Optional[Dict[str, Any]] = None) None [源代码]#
Reduce the bond dimension between two adjacent sites by SVD
- classmethod reduce_tensor_dimension(tensor_left: Any, tensor_right: Any, center_left: bool = True, split: Optional[Dict[str, Any]] = None) Tuple[Any, Any] [源代码]#
Reduce the bond dimension between two general tensors by SVD
- reset_instruction(*index: int) None #
add a reset instruction flag, no effect on numerical simulation
- 参数
index (int) -- the corresponding qubits
- rx(*index: int, **vars: Any) None #
Apply RX gate with parameters on the circuit. See
tensorcircuit.gates.rx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- rxx(*index: int, **vars: Any) None #
Apply RXX gate with parameters on the circuit. See
tensorcircuit.gates.rxx_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ry(*index: int, **vars: Any) None #
Apply RY gate with parameters on the circuit. See
tensorcircuit.gates.ry_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- ryy(*index: int, **vars: Any) None #
Apply RYY gate with parameters on the circuit. See
tensorcircuit.gates.ryy_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- rz(*index: int, **vars: Any) None #
Apply RZ gate with parameters on the circuit. See
tensorcircuit.gates.rz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- rzz(*index: int, **vars: Any) None #
Apply RZZ gate with parameters on the circuit. See
tensorcircuit.gates.rzz_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- s(*index: int, **kws: Any) None #
Apply S gate on the circuit. See
tensorcircuit.gates.s_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 0.+1.j \end{bmatrix}\end{split}\]
- sd(*index: int, **kws: Any) None #
Apply SD gate on the circuit. See
tensorcircuit.gates.sd_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 0.-1.j \end{bmatrix}\end{split}\]
- sdg(*index: int, **kws: Any) None #
Apply SD gate on the circuit. See
tensorcircuit.gates.sd_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & 0.-1.j \end{bmatrix}\end{split}\]
- select_gate(which: Any, kraus: Sequence[tensorcircuit.gates.Gate], *index: int) None #
Apply
which
-th gate fromkraus
list, i.e. apply kraus[which]- 参数
which (Tensor) -- Tensor of shape [] and dtype int
kraus (Sequence[Gate]) -- A list of gate in the form of
tc.gate
or Tensorindex (int) -- the qubit lines the gate applied on
- set_split_rules(split: Dict[str, Any]) None [源代码]#
Set truncation split when double qubit gates are applied. If nothing is specified, no truncation will take place and the bond dimension will keep growing. For more details, refer to split_tensor.
- 参数
split (Any) -- Truncation split
- sgates = ['i', 'x', 'y', 'z', 'h', 't', 's', 'td', 'sd', 'wroot', 'cnot', 'cz', 'swap', 'cy', 'ox', 'oy', 'oz', 'toffoli', 'fredkin']#
- slice(begin: int, end: int) tensorcircuit.mpscircuit.MPSCircuit [源代码]#
Get a slice of the MPS (only for internal use)
- static standardize_gate(name: str) str #
standardize the gate name to tc common gate sets
- 参数
name (str) -- non-standard gate name
- 返回
the standard gate name
- 返回类型
str
- state(form: str = 'default') Any #
Compute the output wavefunction from the circuit.
- 参数
form (str, optional) -- the str indicating the form of the output wavefunction
- 返回
Tensor with shape [1, -1]
- 返回类型
Tensor a b ab | | ||
i--A--B--j -> i--XX--j
- swap(*index: int, **kws: Any) None #
Apply SWAP gate on the circuit. See
tensorcircuit.gates.swap_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j \end{bmatrix}\end{split}\]
- t(*index: int, **kws: Any) None #
Apply T gate on the circuit. See
tensorcircuit.gates.t_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1. & +0.j & 0. & +0.j\\ 0. & +0.j & 0.70710677+0.70710677j \end{bmatrix}\end{split}\]
- td(*index: int, **kws: Any) None #
Apply TD gate on the circuit. See
tensorcircuit.gates.td_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1. & +0.j & 0. & +0.j\\ 0. & +0.j & 0.70710677-0.70710677j \end{bmatrix}\end{split}\]
- tdg(*index: int, **kws: Any) None #
Apply TD gate on the circuit. See
tensorcircuit.gates.td_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1. & +0.j & 0. & +0.j\\ 0. & +0.j & 0.70710677-0.70710677j \end{bmatrix}\end{split}\]
- tex(**kws: Any) str #
Generate latex string based on quantikz latex package
- 返回
Latex string that can be directly compiled via, e.g. latexit
- 返回类型
str
- to_cirq(enable_instruction: bool = False) Any #
Translate
tc.Circuit
to a cirq circuit object.- 参数
enable_instruction (bool, defaults to False) -- whether also export measurement and reset instructions
- 返回
A cirq circuit of this circuit.
- to_json(file: Optional[str] = None, simplified: bool = False) Any #
circuit dumps to json
- 参数
file (Optional[str], optional) -- file str to dump the json to, defaults to None, return the json str
simplified (bool) -- If False, keep all info for each gate, defaults to be False. If True, suitable for IO since less information is required
- 返回
None if dumps to file otherwise the json str
- 返回类型
Any
- to_openqasm(**kws: Any) str #
transform circuit to openqasm via qiskit circuit, see https://qiskit.org/documentation/stubs/qiskit.circuit.QuantumCircuit.qasm.html for usage on possible options for
kws
- 返回
circuit representation in openqasm format
- 返回类型
str
- to_qir() List[Dict[str, Any]] #
Return the quantum intermediate representation of the circuit.
- Example
>>> c = tc.Circuit(2) >>> c.CNOT(0, 1) >>> c.to_qir() [{'gatef': cnot, 'gate': Gate( name: 'cnot', tensor: array([[[[1.+0.j, 0.+0.j], [0.+0.j, 0.+0.j]], [[0.+0.j, 1.+0.j], [0.+0.j, 0.+0.j]]], [[[0.+0.j, 0.+0.j], [0.+0.j, 1.+0.j]], [[0.+0.j, 0.+0.j], [1.+0.j, 0.+0.j]]]], dtype=complex64), edges: [ Edge(Dangling Edge)[0], Edge(Dangling Edge)[1], Edge('cnot'[2] -> 'qb-1'[0] ), Edge('cnot'[3] -> 'qb-2'[0] ) ]), 'index': (0, 1), 'name': 'cnot', 'split': None, 'mpo': False}]
- 返回
The quantum intermediate representation of the circuit.
- 返回类型
List[Dict[str, Any]]
- to_qiskit(enable_instruction: bool = False, enable_inputs: bool = False) Any #
Translate
tc.Circuit
to a qiskit QuantumCircuit object.- 参数
enable_instruction (bool, defaults to False) -- whether also export measurement and reset instructions
enable_inputs (bool, defaults to False) -- whether also export the inputs
- 返回
A qiskit object of this circuit.
- toffoli(*index: int, **kws: Any) None #
Apply TOFFOLI gate on the circuit. See
tensorcircuit.gates.toffoli_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j & 0.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j\\ 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 0.+0.j & 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- u(*index: int, **vars: Any) None #
Apply U gate with parameters on the circuit. See
tensorcircuit.gates.u_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- unitary(*index: int, **vars: Any) None #
Apply ANY gate with parameters on the circuit. See
tensorcircuit.gates.any_gate()
.- 参数
index (int.) -- Qubit number that the gate applies on.
vars (float.) -- Parameters for the gate.
- vgates = ['r', 'cr', 'u', 'cu', 'rx', 'ry', 'rz', 'phase', 'rxx', 'ryy', 'rzz', 'cphase', 'crx', 'cry', 'crz', 'orx', 'ory', 'orz', 'iswap', 'any', 'exp', 'exp1']#
- vis_tex(**kws: Any) str #
Generate latex string based on quantikz latex package
- 返回
Latex string that can be directly compiled via, e.g. latexit
- 返回类型
str
- wavefunction(form: str = 'default') Any [源代码]#
Compute the output wavefunction from the circuit.
- 参数
form (str, optional) -- the str indicating the form of the output wavefunction
- 返回
Tensor with shape [1, -1]
- 返回类型
Tensor a b ab | | ||
i--A--B--j -> i--XX--j
- classmethod wavefunction_to_tensors(wavefunction: Any, dim_phys: int = 2, norm: bool = True, split: Optional[Dict[str, Any]] = None) List[Any] [源代码]#
Construct the MPS tensors from a given wavefunction.
- 参数
wavefunction (Tensor) -- The given wavefunction (any shape is OK)
split (Dict) -- Truncation split
dim_phys (int) -- Physical dimension, 2 for MPS and 4 for MPO
norm (bool) -- Whether to normalize the wavefunction
- 返回
The tensors
- 返回类型
List[Tensor]
- wroot(*index: int, **kws: Any) None #
Apply WROOT gate on the circuit. See
tensorcircuit.gates.wroot_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.70710677+0.j & -0.5 & -0.5j\\ 0.5 & -0.5j & 0.70710677+0.j \end{bmatrix}\end{split}\]
- x(*index: int, **kws: Any) None #
Apply X gate on the circuit. See
tensorcircuit.gates.x_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 1.+0.j\\ 1.+0.j & 0.+0.j \end{bmatrix}\end{split}\]
- y(*index: int, **kws: Any) None #
Apply Y gate on the circuit. See
tensorcircuit.gates.y_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 0.+0.j & 0.-1.j\\ 0.+1.j & 0.+0.j \end{bmatrix}\end{split}\]
- z(*index: int, **kws: Any) None #
Apply Z gate on the circuit. See
tensorcircuit.gates.z_gate()
.- 参数
index (int.) --
Qubit number that the gate applies on. The matrix for the gate is
\[\begin{split}\begin{bmatrix} 1.+0.j & 0.+0.j\\ 0.+0.j & -1.+0.j \end{bmatrix}\end{split}\]
- tensorcircuit.mpscircuit.split_tensor(tensor: Any, center_left: bool = True, split: Optional[Dict[str, Any]] = None) Tuple[Any, Any] [源代码]#
Split the tensor by SVD or QR depends on whether a truncation is required.
- 参数
tensor (Tensor) -- The input tensor to split.
center_left (bool, optional) -- Determine the orthogonal center is on the left tensor or the right tensor.
- 返回
Two tensors after splitting
- 返回类型
Tuple[Tensor, Tensor]