Created setA method for MPS/IQMPS. Similar to Anc but better, more self-documenting name. Call psi.setA(j,T); to set tensor at site j to be the tensor T. svd methods now recognize LeftIndexName, RightIndexName, LeftIndexType, RightIndexType (or just IndexType) named args for specifying properties of newly created indices. Very useful for 2D tensor network algorithms. Added count.h mini-library to utilities. Allows writing for loops over integers as for(auto n : count(4)) for n=0,1,2,3 or for(auto n : count1(4)) for n=1,2,3,4 (notice the count1 versus count). Also writing for(auto n : index(v)) makes n an integer iterating from 0 up to < v.size(). Created an external norm(T) function for ITensors and IQTensors. Fixed a bug where ITensor...
New Features Implements a new limit API to correctly evaluate a number of quantities at the coordi...
This release adds a number of new features and makes some overdue breaking changes to the library. F...
In many applications that deal with high dimensional data, it is important to not store the high dim...
Added expHermitian function for exponentiating Hermitian tensors Added new eigen function for comput...
Fixed major bug in davidson algorithm where Gram-Schmidt was not being repeated after orthog failure...
The majority of physical phenomena and their computational simulations are described mathematically ...
This version fixes a few bugs: Fixed issue where AutoMPO was failing when operators were not provi...
The tensor network, as a facterization of tensors, aims at performing the operations that are common...
Tensors are higher-dimensional analogs of matrices, and represent a key data abstraction for many ap...
A tensor network is a type of decomposition used to express and approximate large arrays of data. A ...
All results of finished domains can be retrieved while other domains are still in computation of pen...
This PR is (once again) quite massive but ships quite a few nice features ( PhysicalParameter Thre i...
Fleischer J, Riemann T, Yundin V. New developments in PJFry. In: PoS. Vol LL2012. 2012: 020.We repo...
The number of edges (or wires) connecting to a tensor is equal to that tensor’s rank. When an index ...
Higher-order tensors and their decompositions are abundantly present in domains such as signal proce...
New Features Implements a new limit API to correctly evaluate a number of quantities at the coordi...
This release adds a number of new features and makes some overdue breaking changes to the library. F...
In many applications that deal with high dimensional data, it is important to not store the high dim...
Added expHermitian function for exponentiating Hermitian tensors Added new eigen function for comput...
Fixed major bug in davidson algorithm where Gram-Schmidt was not being repeated after orthog failure...
The majority of physical phenomena and their computational simulations are described mathematically ...
This version fixes a few bugs: Fixed issue where AutoMPO was failing when operators were not provi...
The tensor network, as a facterization of tensors, aims at performing the operations that are common...
Tensors are higher-dimensional analogs of matrices, and represent a key data abstraction for many ap...
A tensor network is a type of decomposition used to express and approximate large arrays of data. A ...
All results of finished domains can be retrieved while other domains are still in computation of pen...
This PR is (once again) quite massive but ships quite a few nice features ( PhysicalParameter Thre i...
Fleischer J, Riemann T, Yundin V. New developments in PJFry. In: PoS. Vol LL2012. 2012: 020.We repo...
The number of edges (or wires) connecting to a tensor is equal to that tensor’s rank. When an index ...
Higher-order tensors and their decompositions are abundantly present in domains such as signal proce...
New Features Implements a new limit API to correctly evaluate a number of quantities at the coordi...
This release adds a number of new features and makes some overdue breaking changes to the library. F...
In many applications that deal with high dimensional data, it is important to not store the high dim...