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[…]

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[…]

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,[…]

Quantum Programming Mini Course @ MLPrague 2019

Quantum Programming @ Machine Learning Prague 2019 FEBRUARY 22 – 24, 2019 Register: www.MLPrague.com Join us at MLPrague on the 22nd of February for an information packed day of quantum programming. Find out What a tech professional needs to know about quantum technology How and when quantum enhanced computation will change the software industry What possibilities exist to use quantum enhanced processors today via cloud services  Learn to write simple quantum enhanced optimization and quantum enhanced machine learning programs! The course will take a tech professional, such as a software engineer, through all that is needed to get started with quantum programing with IBM’s quantum programming platform, QISKit.  The course will[…]

Innovation Workshop Quantum Project

Title of project “Quantum Computing Simulation in Mathematica” Overview Participants will build functions to simulate quantum processes, quantum circuits and quantum algorithms using Mathematica.  No experience in Mathematica is required; no experience in quantum computing is required either.  Emphasis will be placed on using the numerical functions built into Mathematica, but some symbolic functions can also be added, depending on the interest of those participating. Example of a completed project A core library of Mathematica functions that enables users to define a state space of qubits (or dits in general) apply unitary gates by indexing these dits apply functions such as the partial trace which takes indices to be traced[…]

Computational Complexity and Extended Clifford Circuits

11:00 Thu 30 Aug – RED 351 11:00 Mon 03 Sep – RED 351 11:00 Wed 05 Sep – RED 359 11:00 Fri 07 Sep – RED 359 Biography. Dax Enshan Koh (Skoltech Summer Intern 2018 – Biamonte Group) is a PhD candidate in the Mathematics department at the Massachusetts Institute of Technology (MIT), advised by Professor Peter Shor. His current research interests include quantum computation and quantum information, computational complexity theory, classical simulation of quantum computation, foundations of quantum mechanics as well as the theoretical underpinnings of quantum supremacy experiments. Prior to MIT, Dax completed the Perimeter Scholars International (PSI) Master’s program in Physics at the Perimeter Institute for[…]

Quantum Crash Course at Rusky Island (University 2035)

Modern Quantum Computing: enhanced optimization, simulation and machine learning Course Location: Rusky Island – University 20.35 Course Dates: 17-19 July 2018. Teaching Team Jacob Biamonte (lead) Tim Tlyachev Vito Leli Course Content Visionary Lecture. Jacob Biamonte outlines the last 20 years of quantum mechanics, the second quantum revolution and notes that while progress was made we are far from tackling some foundational questions.  Despite this lack of understanding, this actually does not impede the use of quantum mechanics as a computational resource.  18 July 2018, 21:00-23:00, building A. Lecture 1. Introduction to the idea of using the low-energy state of a physical system as a computational resource.  Methods to program and embed problems[…]

Four Lectures on Complex Networks

  11:00 Mon 2 July – RED 351 11:00 Wed 4 July – RED 351 11:00 Fri  6 July – RED 351 11:00 Mon 9 July – RED 351   Biography. Saeed Osat is a PhD Student at Skoltech working with Jacob Biamonte and others towards the development of an information theory of networked and complex systems. Before joining Skoltech, Osat published several papers on complex network theory, including Optimal percolation on multiplex networks, Saeed Osat and others, Nature Communications 8 (1), 1540 (2017) Email. Saeed.Osat@skoltech.ru       Synopsis. Complex network science represents one of the most diverse and widely applicable areas in modern science.  Virtually all areas of[…]