#include <su2.h>

Public Member Functions
template<typename B , std::enable_if_t< hila::is_assignable< T &, B >::value, int > = 0>
	SU2 (const B z)
	construct from 'scalar'

template<typename S , std::enable_if_t< hila::is_assignable< T &, S >::value, int > = 0>
	SU2 (std::initializer_list< S > rhs)
	initializer list constructor

SU2< T > &	normalize ()
	Normalize det = 1 to make sure it's an element of SU2.

SU2< T > &	reunitarize ()
	Normalize det = 1 to make sure it's an element of SU2.

SU2< T >	dagger () const
	complex conjugate transpose

T	trace () const
	for SU2 same as .dagger()

SU2< T >	operator- () const
	unary -

SU2< T >	operator+ () const
	unary +

template<typename A , std::enable_if_t< hila::is_assignable< T &, A >::value, int > = 0>
SU2< T > &	operator= (const SU2< A > &rhs)
	assign from another SU2

template<typename S , std::enable_if_t< hila::is_assignable< T &, S >::value, int > = 0>
SU2< T > &	operator= (std::initializer_list< S > rhs)
	assign from initializer list

template<typename A , std::enable_if_t< hila::is_assignable< T &, A >::value, int > = 0>
SU2< T > &	operator= (A rhs)
	assign from 'scalar'

template<typename A , std::enable_if_t< hila::is_assignable< T &, hila::type_plus< T &, A > >::value, int > = 0>
SU2< T > &	operator+= (const SU2< A > &rhs)
	add assign another SU2

template<typename A , std::enable_if_t< hila::is_assignable< T &, hila::type_minus< T &, A > >::value, int > = 0>
SU2< T > &	operator-= (const SU2< A > &rhs)
	subtract assign another SU2

template<typename A , std::enable_if_t< hila::is_assignable< T &, hila::type_plus< T &, A > >::value, int > = 0>
SU2< T > &	operator+= (const A rhs)
	add assign ('scalar' * identity matrix)

template<typename A , std::enable_if_t< hila::is_assignable< T &, hila::type_minus< T &, A > >::value, int > = 0>
SU2< T > &	operator-= (const A rhs)
	subtract assign ('scalar' * identity matrix)

template<typename A , std::enable_if_t< hila::is_assignable< T &, hila::type_mul< T &, A > >::value, int > = 0>
SU2< T > &	*operator=** (const A rhs)
	multiply assign scalar

template<typename A , std::enable_if_t< hila::is_assignable< T &, hila::type_div< T &, A > >::value, int > = 0>
SU2< T > &	operator/= (const A rhs)
	divide assign scalar

SU2< T > &	random (double width=1.0)
	make random SU2

SU2< T > &	gaussian_random (double width=1.0)
	make gaussian random matrix, does not normalize

Algebra< SU2< T > >	project_to_algebra () const
	project SU2 to generators $\lambda_a = 1/2 \sigma_a$

SU2< T >	exp () const
	SU2 matrix exp.

Algebra< SU2< T > >	log () const
	SU2 matrix log, returns SU2 algebra.

Detailed Description

template<typename T>
class SU2< T >

This implementation represents the matrices as $U = d + a i\sigma_1 + b i\sigma_2 + c i\sigma_3$ This is in SU(2) if $a^2 + b^2 + c^2 + d^2 = 1$

Definition at line 14 of file su2.h.

The documentation for this class was generated from the following file:

su2.h

Public Member Functions

Detailed Description