tensorcircuit.symbolgates

Symbolic gate matrix factories using sympy.

These return Gate objects containing numpy object arrays with sympy expressions, compatible with tn.Node and the tc.contractor contraction pipeline.

Convention: for an n-qubit gate, the tensor is shaped [2]*2n with the first n axes being output legs and the last n axes being input legs, matching the Gate convention in tensorcircuit.

tensorcircuit.symbolgates.sym_any(unitary: Any = None, **kws: Any) → Gate

Symbolic ‘any’ gate from a unitary matrix. Extra keyword arguments are ignored (compatibility with delayed apply).

tensorcircuit.symbolgates.sym_cnot() → Gate

tensorcircuit.symbolgates.sym_cphase(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_cr(theta: Any = 0, alpha: Any = 0, phi: Any = 0) → Gate

tensorcircuit.symbolgates.sym_crx(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_cry(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_crz(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_cu(theta: Any = 0, phi: Any = 0, lbd: Any = 0) → Gate

tensorcircuit.symbolgates.sym_cy() → Gate

tensorcircuit.symbolgates.sym_cz() → Gate

tensorcircuit.symbolgates.sym_fredkin() → Gate

tensorcircuit.symbolgates.sym_h() → Gate

tensorcircuit.symbolgates.sym_i() → Gate

tensorcircuit.symbolgates.sym_iswap(theta: Any = 1) → Gate

tensorcircuit.symbolgates.sym_orx(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_ory(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_orz(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_ox() → Gate

tensorcircuit.symbolgates.sym_oy() → Gate

tensorcircuit.symbolgates.sym_oz() → Gate

tensorcircuit.symbolgates.sym_phase(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_r(theta: Any = 0, alpha: Any = 0, phi: Any = 0) → Gate

tensorcircuit.symbolgates.sym_rx(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_rxx(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_ry(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_ryy(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_rz(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_rzz(theta: Any = 0) → Gate

tensorcircuit.symbolgates.sym_s() → Gate

tensorcircuit.symbolgates.sym_sd() → Gate

tensorcircuit.symbolgates.sym_swap() → Gate

tensorcircuit.symbolgates.sym_t() → Gate

tensorcircuit.symbolgates.sym_td() → Gate

tensorcircuit.symbolgates.sym_toffoli() → Gate

tensorcircuit.symbolgates.sym_u(theta: Any = 0, phi: Any = 0, lbd: Any = 0) → Gate

tensorcircuit.symbolgates.sym_wroot() → Gate

tensorcircuit.symbolgates.sym_x() → Gate

tensorcircuit.symbolgates.sym_y() → Gate

tensorcircuit.symbolgates.sym_z() → Gate