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[…]

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[…]

Entanglement in quantum spin chains

Vladimir Korepin, Professor, C. N. Yang Institute for Theoretical Physics, Stony Brook University of Sciences 02 August 2018, 15:00-16:00 SkolTech, TPOC-4, Nobel str. 2, Blue Building, 4th floor, Room 407   ABSTRACT. Spin chains are models of realistic quantum devices. They can be realized in optical lattices and appear in un-isotropic crystalline structures in solid state. History[…]

Unusual properties of quantum walks

Alexander Rivosh, Researcher, the Center for Quantum Computer Science, University of Latvia 24 July 2018, 15:00-16:30 SkolTech, TPOC-4, Nobel str. 1, Red Building, 3rd floor, Room 351   ABSTRACT. Quantum walks proved to be a useful tool for the design of quantum algorithms. Local search, element distinctness, NAND formula evaluation – that is only a few[…]

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[…]

Machine learning model quantum systems and compounds

Dmitry Yudin, Researcher, ITMO University (Saint-Petersburg, Russia) 04 July 2018, 15:00-16:30 SkolTech, TPOC-4, Nobel str. 1, Red Building, 3rd floor, Room 351   ABSTRACT. Recently, a deep connection between physics of interacting quantum systems and machine learning technique has been pointed out. In fact, both of the fileds deal with systems with an extremely large[…]

Quantum Sinkhorn’s theorem and applications in quantum information theory

Sergey Filippov, Senior Researcher, Head of the Laboratory of Quantum Information Theory, Moscow Institute of Physics and Technology; Researcher at Microstructuring and Submicron Devises Laboratory, Institute of Physics and Technology of Russian Academy of Sciences 06 July 2018, 15:00-16:30 Skoltech, TPOC-4, Nobel str. 1, Red Building, 3rd floor, Room 351   Abstract. Quantum Sinkhorn’s theorem[…]

Algorithmic simulation of far-from-equilibrium dynamics using superconducting quantum computer

Walter Pogosov, Head of the Laboratory of Physics of Micro- and Nanostructures Dukhov Research Institute of Automatics (Rosatom State Corporation) 06 June 2018, 15:00-16:30 Skoltech, TPOC-4, Nobel str. 1, Red Building, 3rd floor, Room 351 Abstract. We point out that superconducting quantum computers are prospective for the simulation of the dynamics of spin models far from[…]

Schrödinger cats for a ‘quantum internet’ – Alex Lvovsky

Professor Alexander Lvovsky, Department of Physics and Astronomy, University of Calgary Group Lead, Quantum Optics Group, Russian Quantum Center Blue Building 303 (Multifunctional Zone)​, Skoltech Campus 29 May at 15:00     ABSTRACT: Superpositions of macroscopically distinct quantum states, introduced in Schrödinger’s famous Gedankenexperiment, are an epitome of quantum “strangeness” and a natural tool for[…]