Deep Quantum Labs

Deep Quantum Labs

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Quantum Enhanced Machine Learning Research. Complexity. Basic science research studying collective effects in quantum systems.

03/08/2020

Skoltech scientists have shown that quantum enhanced machine learning can be used on quantum data. According to Jacob Biamonte, the head of Laboratory for Quantum Information Processing and a co-author of this paper, the research was focused on problems from condensed matter physics, but such quantum enhanced algorithms equally apply to challenges in materials science and drug discovery. The research was supported by a grant from the Russian Foundation for Basic Research.

Read more: https://www.skoltech.ru/en/2020/07/quantum-machines-learn-quantum-data/

Photo: https://hightech.fm/

16/07/2020

Postdoctoral Researcher (The Theory of Modern Quantum Algorithms)_DHL

Applications are invited for a one-year postdoctoral research position with a possibility for extension, in the field of theory of quantum computations and quantum algorithms. The position will be held at Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia. The start date is flexible.

The successful applicant will work in the research group led by Prof Jacob Biamonte in the area of quantum computations and quantum networks, with a focus on quantum enhanced algorithms and error mitigation on experimental devices.

The goals of this project are:

Develop, optimize, and benchmark variational quantum algorithms (e.g. QAOA and VQE).
Implement quantum information processing tasks in the experiments on trapped ions and optical networks
Integrate quantum-computing methods with tensor network theory and/or machine learning.
The applicant should expect​ ​interaction with experimental collaborators from Skoltech, MSU and leading theory research groups overseas. In particular, applicants ​will join an ongoing collaboration between Skoltech, RQC and Lebedev Physical Institute of the Russian Academy of Sciences (LPI RAS).

Applicants are required to have a background in quantum information, quantum computation, quantum communication or relative fields. Applicants are expected to use Python and be able to assist in conducting the research of 2-3 PhD students in the team. Applicants must have a PhD in Physics, Computer Science or Mathematics and a proven record of research in the areas of or quantum computations or quantum information science.

Applications should be sent to [email protected] or to [email protected] with a title ”Postdoc Applicant” and should include:

1) a motivation letter;

2) a CV including a list of publications and list of the referees;

3) a research statement;

The position will remain open till a suitable applicant is found, the applications will be considered until December 20.

For more information on Skoltech, please visit www.skoltech.ru. For more information on Deep Quantum Lab, which is led by Prof Jacob Biamonte, please go to http://deepquantum.ai/ .

For more information on vacancy, please visit https://join.skoltech.ru/?p=25339 .

16/07/2020

Postdoctoral Researcher Positions Open (The Theory of Modern Quantum Algorithms)

Skoltech Applications Pool | Postdoctoral Researcher (The Theory of Modern Quantum Algorithms)_DHL Postdoctoral Researcher (The Theory of Modern Quantum Algorithms)_DHL Applications are invited for a one-year postdoctoral research position with a possibility for extension, in the field of theory of quantum computations and quantum algorithms. The position will be held at Skolkovo Institute of Sci...

Experimental neural network enhanced quantum tomography 07/02/2020

'Experimental neural network enhanced quantum tomography' now published as
npj Quantum Information 6:20 (2020)

Experimental neural network enhanced quantum tomography Quantum tomography is currently ubiquitous for testing any implementation of a quantum information processing device. Various sophisticated procedures for state and process reconstruction from measured data are well developed and benefit from precise knowledge of the model describing state-preparati...

28/02/2019

PhD Fellowships in Quantum Science and Technology—Skoltech

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 integrates and modernizes the best Russian scientific traditions and offers a host of courses related to quantum science and technology.

PhD Fellowships are now being offered to work in Skoltech’s Deep Quantum Labs – lead by Prof Jacob Biamonte.

Students who have completed or are nearing completion of a masters degree with backgrounds in an area of mathematical sciences with interest in quantum information processing are encouraged to apply.

Continued research projects are along the lines of the topics described on DeepQuantum.AI – these topics include�
Quantum Enhanced Algorithms for Machine Learning
Tensor Networks
Hamiltonian Complexity and the Computational Power of Physical Systems

The PhD course takes a minimum of three years but normally it takes four years. Those accepted will receive (i) a tuition waiver (covering the full price of tuition) as well as (ii) a basic starting stipend of 85k RUB (tax free) which goes to 105k RUB (tax free) after proven performance and (iii) medical insurance.

Application procedure. Students should first complete the formal application procedure (see http://msc.skoltech.ru/data-science); they are encouraged to send their full CV and a statement (not more than 300 words) outlining their interest to [email protected] – as part of the initial screening, selected candidates might be contacted with a potential initial screening interview via Skype.

11/12/2018

Still time to register for this unique, cutting edge course.

A unique opportunity to learn how to accelerate computational subtasks. In this 7 hours workshop, Professor Jacob Biamonte will introduce and compare two types of quantum devices: Quantum enhanced annealers and gate-model based devices to solve optimization problem instances and train binary classifiers.

Register here (Only 12 spots left) - https://mlprague.com

13/11/2018

Lab members have shown that deep learning can determine properties of complex systems modeled by networks.

- "Deep Learning Super-Diffusion in Multiplex Networks" https://arxiv.org/abs/1811.04104

Welcome Vladimir Korepin 26/07/2018

Deep Quantum Labs is pleased to welcome Prof Korepin for his extended collaborative visit.

PhD Fellowship in Tensor Networks/Hamiltonian Complexity 27/05/2018

Study at Deep Quantum Labs

PhD Fellowship in Tensor Networks/Hamiltonian Complexity 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 integrates the best Russian scientific traditions with twenty-first century entrepr...

Moscow Quantum Hackathon (MSU + Skoltech) 16/05/2018

Quantum Hackathon - this Friday!

Moscow Quantum Hackathon (MSU + Skoltech) Register here for the hackathon, see Facebook event for information Join the first quantum hackathon in Moscow. This is a joint event, merging theory and experiments. Quantum Hackathon Staff 1. Polina Belozerova. Received a BSc in physics from the Department of General and Applied Physics of MIP

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Skolkovo Institute For Science And Technology
Moscow
143026