Tensor Networks

Applications due 21 April.

Skolkovo Institute of Science and Technology (Skoltech) is a unique English-speaking international graduate only research university, located just outside of Moscow. Established in collaboration with M.I.T., Skoltech hosts internationally leading research activities on quantum science and technology, in particular the theory of quantum computers, condensed matter and quantum enhanced algorithms.

Application deadline: 

Sunday, April 21, 2019

Skoltech’s Deep Quantum Labs is seeking two highly-talented and fast thinking developers (level depends on experience) to utilize our new supercomputing facility. This facility is maintained and operated by CDISE (Skoltech) and opens the door to large-scale internationally competitive simulations (500000+ NVidia – Volta – GPU cores and 2000 CPU cores).

Application deadline: 

Wednesday, September 19, 2018

1. Quantum Enhanced Technology
- quantum simulators
- quantum enhanced machine learning
- adiabatic vs gate-model algorithms

2. Foundations and Mathematical Methods
- theory of tensor networks
- theory of quantum walks and time symmetry breaking (chiral quantum walks)
- symmetries, invariant theory

3. Frontiers
- applications of information theory to new domains
- mathematics of network theory
- quantum vs stochastic complex systems
- Hamiltonian complexity theory

Algebra - Grops Theory - Representation Theory - Boolean algebra - Graph Theory - Spin Models - Complexity


Skolkovo Institute of Science and Technology,
55° 41' 4.3404" N, 37° 20' 25.6848" E

We advertise an attractive fully funded PhD position within DAEDALUS, a new PhD program within the Berlin research landscape. The project is dedicated to recovering dynamical laws from data, within the sub-project "P3: multi-scale sparsity models" of DAEDALUS.

Application deadline: 

Friday, July 6, 2018

Deep Quantum Labs is in the ongoing process of a expansion planned over the next several years as we continue to establish resident based international leadership in several core areas of theory related to quantum computation, tensor networks, Hamiltonian complexity and quantum machine learning.


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