PhD Fellowship “Theory of Quantum Algorithms”

A PhD Fellowship is being offered to work in Deep Quantum Lab – lead by Prof Jacob Biamonte at the Skolkovo Institute of Science and Technology. It is anticipated that the candidate will defend in either VAK 01.04.02 Theoretical Physics or 01.01.03 Mathematical Physics.  Applications are now open. Experience in quantum theory/computing is not required.  Students who have completed or are nearing completion of a masters degree with backgrounds in an area of mathematical sciences with interest in quantum computing are encouraged to apply. Planned 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 The PhD[…]

DSc Thesis Contents and Topical Overview (Habilitation)

This Friday at 11:00 am in E-B2-3006 (new campus) and on Zoom Prof. Jacob Biamonte will be presenting a talk which summaries the contents of his Habitation thesis. We kindly offer for you to attend in person or by Zoom. The full information is below. Title. On the Theory of Modern Quantum Algorithms By Professor Jacob Biamonte, BS, DPhil (Oxon) To be delivered Friday 25 September 11:00 am (E-B2-3006) Join Zoom Meeting https://us04web.zoom.us/j/698065281?pwd=RmltazY3RGJaOG9pRlo2U01WenMrZz09 Meeting ID: 698 065 281 Passcode: 0ZC7hU Contents. The computational properties of Hamiltonian ground states are presented as a golden thread connecting the contemporary underpinnings behind advanced techniques to program quantum enhanced processors. Computational complexity theory is used to determine the computational capacity of ground[…]

Numerical Scientist (Machine Learning/Quantum Physics)

Numerical Scientist (Machine Learning/Quantum Physics) The Skolkovo Institute of Science and Technology’s Laboratory for Quantum Information Processing is seeking a candidate familiar with computational physics.  We are particularly interested in candidates experienced in quantum physics and/or deep learning.    Experience in high-performance computing and parallel algorithms is a plus.  The start date is flexible. Requirements: The candidate will work as part of a team lead by Jacob Biamonte devoted to realizing national priority initiatives supporting the development of quantum computing.  The laboratory is focused on the theory and applications of quantum algorithms.  The candidate is expected to optimize and develop numerical solutions related to the emulation of quantum systems.  Additionally, the candidate should be able to[…]

Leading Research Center on Quantum Computing (agreement No. 014/20) Enacted

In the first quarter of 2020, our joint large-scale project was approved to form a National Center of Excellence for Quantum Computing as part of the nations Digital Economy Program. The Leading Research Center on Quantum Computing (agreement No. 014/20) was formed through a collaboration from Principle Investigator’s from the Russian Quantum Center (RQC), the Skolkovo Institute of Science and Technology (Skoltech) and the Lebedev Physical Institute (FIAN). RQC is the primary project coordinator with Skoltech responsible for the theory, development and implementation of quantum enhanced algorithms. The project seeks to demonstrate quantum enhanced algorithms on experimental platforms inside the Russian Federation, with special emphasis placed on trapped ion implementations. RQC[…]

Our paper inspires equations appearing in hit TV series, Rick and Morty

Rick tells Morty, “That book has everything they need to create snake time travel” set to a backdrop containing markings reminiscent of odd hieroglyphics on a chalkboard. These markings are actually redrawn from diagrammatic equations appearing in Jacob Biamonte’s book, Quantum Tensor Networks. For reasons described in the book, certain classes of equations admit a formal diagramatic calculus. The equations appearing on the board prove what is known as the “snake equation”. This is fitting since Rick and Morty, Season 4: Episode 5, “Rattlestar Ricklactica” was centred around snakes that invent time travel. When asked about the situation, Biamonte said: “So what if they copied the equations down wrong, Rick and Morty is the best thing to[…]

Postdoctoral research​ position in the theory of​ modern quantum algorithms

Applications are invited for ​a postdoctoral research​ position in the theory of​ modern quantum algorithms. The position will be held at ​Skolkovo Institute of Science and Technology (​Skoltech), Moscow, Russia. ​The start date is flexible but we would like to fill these position(s) as soon as possible. The successful applicant will work in the research laboratory structure led by Prof Jacob Biamonte in the general area of quantum computation, with a focus on quantum enhanced algorithms and error mitigation on experimental devices. The overarching project goals include: Develop, optimize, and benchmark variational quantum algorithms (e.g. QAOA and VQE) Implement quantum information processing tasks using trapped ions and optical networks available[…]

MIT-Skoltech Research Internship (MISTI)

MIT students, as part of the MIT-MISTI exchange program, as invited to spend 3-6 months conducting research in the areas of quantum theory, and quantum technology at the Skolkovo Institute of Science in Technology located just outside of the city centre of Moscow.  The internship will be hosted at Skoltech’s Deep Quantum Laboratory, which focuses on theory and quantum algorithms development and has a long history of collaboration with MIT students and staff. Those admitted into the program will join the international lab lead by Prof Jacob Biamonte. The lab has successfully hosted students through the MISTI program before and has ongoing projects related to the theory of tensor networks, machine learning applied to quantum physics,[…]

Quantum Science and Technology at Skoltech 

Quantum Science and Technology at Skoltech  Skoltech proudly hosts several leading researchers, labs and activities that cover the full spectrum of contemporary quantum research.  This includes both experimental and theoretical groups working directly on quantum enhanced technologies as well as even business and patent analysis projects related to technology trends.  In addition to this wide effort, there are many researchers working on supporting and related technologies, such as condensed matter, quantum materials and the numerical simulation of physical systems. As anticipated, this wide portfolio of quantum research is accompanied by an equally wide teaching portfolio.  Students are able to take a range of classes and study topics to suit their[…]

Deep Physics MSc Projects — Skoltech MSc class of 2020 

We still have two openings to advise MSc students.   Deep learning and quantum computing. We have several ongoing and new projects to select from that apply deep learning to understand physics.  We also use statistical mechanics and quantum theory as a mathematical tool to understand e.g. the informatic properties of deep neural networks.  For example, quantum computers provide new classes of neural networks that appear to be exponentially difficult to simulate using classical computers; on going work is geared towards refining quantum deep learning algorithms.   Applications of deep learning to predict properties of quantum systems Enhancement of deep learning algorithms using real-world quantum computers and programable quantum simulators[…]

MIT-MISTI-Skoltech Quantum Interns 2019

Following the success of last years MIT PhD Student interns (Dax Koh and Mason Biamonte), Skoltech Deep Quantum Labs is seeking MIT student applicants to the MIT-MISTI summer exchange program. Students should be pursuing a thesis in Quantum information theory, quantum information processing and associated topics Stochastic physics, complex networks and associated topics as they relate to quantum theory Machine learning applied to physics Applicants must be currently enrolled at MIT.  Successful applicants will join the diverse international lab lead by Prof Jacob Biamonte.  The lab has ongoing projects related to the theory of tensor networks, machine learning applied to quantum physics, using quantum computers to accelerate machine learning tasks,[…]