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Skoltech’s Laboratory for Quantum Information Processing (Deep Quantum Lab)

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Jacob Biamonte

Associate Professor, Head of Skoltech's Laboratory for Quantum Information Processing
Center for Photonics and Quantum Materials

Jacob Daniel Biamonte is an American theoretical physicist, quantum computer scientist and Associate Professor at the Skolkovo Institute of Science and Technology and Head of Skoltech’s Laboratory for Quantum Information Processing.

After his undergraduate studies (Bachelor of Science from Portland State University), Biamonte was employed as one of the world’s first quantum software programmers at D-Wave Systems Inc. in Vancouver B.C., Canada (2004-2007). His subsequent Doctorate from Oxford (2010) was awarded an EPSRC Prize. Biamonte worked as a research fellow at Harvard and as part of a joint Oxford/Singapore postdoctoral program before joining the Institute for Scientific Interchange (ISI Foundation) in Torino Italy to direct the institute’s Quantum Science Division (2012-2017).  Biamonte joined Skoltech in 2017, while Skoltech’s Laboratory for Quantum Information Processing was officially founded in 2019 with Biamonte appointed Head of Laboratory.

Biamonte’s research focuses broadly on the theory and implementation of modern quantum algorithms and employs various mathematical techniques, particularly group-algebraic techniques, tensor networks and the formal theory of computation and information.

Biamonte is best known for several results: 

  1. A 2019 proof that variational quantum computation can be used as a computationally universal model of  quantum computation [arXiv:1903.04500].
  2. A definition given in 2016 of a spectral graph function which provably satisfies both (i) the definition of an entropy and (ii) subadditivity [with Domenico in PRX 6, 041062 (2016)].
  3. A 2015 proof that #P-hard counting problems (and hence 2, 3-SAT decision problems) can be solved efficiently when their tensor network expression has at most O(log c) COPY-tensors and polynomial bounded fan-out [with Turner and Morton in J. Stat. Phys. 160, 1389 (2015)].
  4. A 2008 proof that the two-body model Hamiltonian with tunable XX, ZZ terms is (i) computationally universal for adiabatic quantum computation and (ii) admits a QMA-complete ground state energy decision problem [with Love in PRA 78, 012352 (2008)]

Biamonte is also credited for pioneering work developing quantum algorithms for electronic structure calculations and more recently for work uniting quantum information processing with machine learning.

Biamonte has further provided theoretical support to enable milestone quantum information processing experimental demonstrations. The list includes the first quantum algorithmic demonstration of quantum chemistry [Nature Chemistry 2, 106 (2009)] (linear optics), the first experimental implementation of optimal control [Nature Communications 5, 3371 (2014)] (creating a quantum random access memory using NV-centers in diamond) as well as the first demonstration of neural network quantum state tomography on actual experimental data [npj Quantum Information 6:20 (2020)] (linear optics).

Awards and Honours. 

  1. Elected Fellow of the Institute of Mathematics and its Applications (2021)
  2. Usern Medal Laureate in Formal Sciences (2018)
  3. Shapiro Lecture in Mathematical Physics, Pennsylvania State University (2014)
  4. Invited lifelong member (from 2013) of the Foundational Questions Institute (FQXi)
  5. Longuet-Higgins Paper Prize [jointly with JD Whitfield and AA Guzik for Molecular Physics 109, 735 (2011)]


Laboratory Information. 

Skoltech’s Laboratory for Quantum Information Processing (affectionately called, Deep Quantum Lab)  contributes primarily to the theory, development and implementation of quantum enhanced algorithms, a topic underrepresented inside the Russian Federation and globally.  The research capacity of the laboratory responds critically to inquiries from the public and private sectors and the research output has established Skoltech’s role internationally in quantum science and technology.  The Laboratory was officially created as an autonomous laboratory structure by order number 44 enacted on 19 February 2019.

The laboratory currently participates in several national initiatives and industrial projects, including 

  1. The large-scale national Digital Economy project, Leading Research Center on Quantum Computing (agreement No. 014/20)
  2. Ongoing multi-year collaboration agreements sponsored by a leading Technologies Co., Ltd.
  3. Quantum algorithms research and consulting projects sponsored by a leading energy provider PJSC


Current Full-time Laboratory Staff and Students. 

  • Jacob Biamonte, Associate Professor
  • Dina Fedotova, Administrative Coordinator
  • Anastasia Pervishko, Jr Research Scientist
  • Ksenia Samburskaya, Sr Research Scientist
  • Dmitry Yudin, Assistant Professor
  • Igor Zacharov, Sr Research Scientist
  • Soumik Adhikary, Jr Research Scientist
  • Oksana Borzenkova, Doctoral Student
  • Ernesto Campos, Doctoral Student
  • Andrey Kardashin, Doctoral Student
  • Aly Nasrallah, Doctoral Student
  • Hariphan Philathong, Doctoral Student
  • Alexey Uvarov, Doctoral Student
  • Akshay Vishwanathan, Doctoral Student
  • Varade Pande, Doctoral Student
  • Daniil Rabinovich, Doctoral Student
  • Boris Arseniev, Masters Student
  • Jatin Kumar, Masters Student

Contact Information.

Skolkovo Institute of Science and Technology
3 Nobel Street
Moscow 143026
Russian Federation

(campus: E-R1-A4-3014/20)
(GPS: 55°41’55.7″N 37°21’42.0″E)

phone: +7 (985) 445-36-34
web: http://Quantum.Skoltech.ru

Habilitation Thesis.

On the Theory of Modern Quantum Algorithms
submitted for the degree of Doctor of Physical and Mathematical Sciences (2021)
Subject Classification 01.01.03 Mathematical Physics
Accompanying synopsis
Dissertation: arXiv:2009.10088

Information current as of January 2021. 


Training saturation in layerwise quantum approximate optimisation
E Campos, D Rabinovich, V Akshay, J Biamonte
(Letter) Physical Review A (2021) — to appear

Reachability deficits implicit in quantum approximate optimization of graph problems
V Akshay, H Philathong, I Zacharov, J Biamonte
Quantum 5:532 (2021)
DOI: 10.22331/q-2021-08-30-532

Numerical hardware-efficient variational quantum simulation of a soliton solution
Andrey Kardashin, Anastasiia Pervishko, Jacob Biamonte, Dmitry Yudin
(Letter) Physical Review A 104:L020402 (2021)
DOI: 10.1103/PhysRevA.104.L020402

Parameter Concentration in Quantum Approximate Optimization
V Akshay, D Rabinovich, E Campos, J Biamonte
(Letter) Physical Review A 104:L010401 (2021)
DOI: 10.1103/PhysRevA.104.L010401

On Barren Plateaus and Cost Function Locality in Variational Quantum Algorithms
Alexey Uvarov and Jacob Biamonte
Journal of Physics A: Mathematical and Theoretical 54:245301 (2021)
DOI: 10.1088/1751-8121/abfac7

Topological Classification of Time-asymmetry in Unitary Quantum Processes
Jacob Biamonte and Jacob Turner
Journal of Physics A: Mathematical and Theoretical 54:235301 (2021)
DOI: 10.1088/1751-8121/abf9d0

The Impact of Multiscale Network Entanglement on System Disintegration
A Ghavasieh, M Stella, J Biamonte, M De Domenico
Communications Physics 4:129 (2021)
DOI: 10.1038/s42005-021-00633-0 

Variational Simulation of Schwinger’s Hamiltonian with Polarization Qubits
O. V. Borzenkova, G. I. Struchalin, A. S. Kardashin, V. V. Krasnikov, N. N. Skryabin, S. S. Straupe, S. P. Kulik, J. D. Biamonte
Applied Physics Letters 118:144002 (2021)
DOI: 10.1063/5.0043322

Deep Learning Super-Diffusion in Multiplex Networks
Vito Michele Leli, Saeed Osat, Timur Tlyachev, Dmitry Dylov and Jacob Biamonte
Journal of Physics Complexity 2(3), 035011 (2021)
DOI: 10.1088/2632-072X/abe6e9

Abrupt Transitions in Variational Quantum Circuit Training
Ernesto Campos, Aly Nasrallah, and Jacob Biamonte
Physical Review A 103(3):032607 (2021)
DOI: 10.1103/PhysRevA.103.032607

Universal Variational Quantum Computation
Jacob Biamonte
(Letter) Physical Review A 103:L030401 (2021)
DOI: 10.1103/PhysRevA.103.L030401

Quantum Machine Learning Tensor Network States
Andrey Kardashin, Alexey  Uvarov and Jacob Biamonte
Frontiers in Physics 8:586374 (2021)
DOI: 10.3389/fphy.2020.586374

Computational Phase Transitions: Benchmarking Ising Machines and Quantum Optimisers
Hariphan Philathong, Vish Akshay, Ksenia Samburskaya and Jacob Biamonte
Journal of Physics: Complexity 2:011002 (2021)
DOI: doi.org/10.1088/2632-072X/abdadc

Certified variational quantum algorithms for eigenstate preparation
Andrey Kardashin, Alexey Uvarov, Dmitry Yudin, Jacob Biamonte
Physical Review A 102:052610 (2020)
DOI: 10.1103/PhysRevA.102.052610

On the Universality of the Quantum Approximate Optimization Algorithm
Mauro E. S. Morales, Jacob Biamonte, Zoltán Zimborás
Quantum Information Processing 19:291 (2020)
DOI: 10.1007/s11128-020-02748-9
Preprint: arXiv:1909.03123

Probing Criticality in Quantum Spin Chains with Neural Networks
A Berezutskii, M Beketov, D Yudin, Z Zimborás, J Biamonte
Journal of Physics Complexity 1:03LT01 (2020)
DOI: 10.1088/2632-072X/abaa2b
Preprint: arXiv:2005.02104

Variational Quantum Eigensolver for Frustrated Quantum Systems
Alexey Uvarov, Jacob Biamonte, Dmitry Yudin
Physical Review B 102:075104 (2020)
DOI: 10.1103/PhysRevB.102.075104
Preprint: arXiv:2005.00544

Machine Learning Phase Transitions with a Quantum Processor
Alexey Uvarov, Andrey Kardashin, Jacob Biamonte
Physical Review A 102, 012415 (2020)
DOI: 10.1103/PhysRevA.102.012415

Reachability Deficits in Quantum Approximate Optimization
V. Akshay, H. Philathong, M.E.S. Morales, J. Biamonte
Physical Review Letters 124, 090504 (2020)
DOI: 10.1103/PhysRevLett.124.090504

Experimental Neural Network Enhanced Quantum Tomography
Adriano Macarone Palmieri, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob Biamonte, Sergei Kulik
npj Quantum Information 6, 20 (2020)
DOI: 10.1038/s41534-020-0248-6

Integrating science to fight COVID-19
Negar Moradian and others
Journal of Translational Medicine 18:205 (2020)
DOI: 10.1186/s12967-020-02364-2

Entanglement Scaling in Quantum Advantage Benchmarks
Jacob D. Biamonte, Mauro E.S. Morales and Dax Enshan Koh
Physical Review A 101, 012349 (2020)
DOI: 10.1103/PhysRevA.101.012349

Quantum Technologies in Russia
A K Fedorov, A V Akimov, J D Biamonte, A V Kavokin, F Ya Khalili, E O Kiktenko, N N Kolachevsky, Y V Kurochkin, A I Lvovsky, A N Rubtsov, G V Shlyapnikov, S S Straupe, A V Ustinov and A M Zheltikov
Quantum Science and Technology 4, 040501 (2019)
DOI: 10.1088/2058-9565/ab4472

Keep Quantum Computing Global and Open
Jacob Biamonte, Pavel Dorozhkin and Igor Zacharov
Nature 573, 190-191 (2019)
DOI: 10.1038/d41586-019-02675-5

Pushing Tensor Networks to the Limit
Invited Physics viewpoint on the work of Tilloy and Cirac 
Anastasiia A. Pervishko and Jacob Biamonte
Physics 12, 59 (2019)
DOI: 10.1103/Physics.12.59

Adiabatic Quantum Computation
Jacob Biamonte
Frontiers in Physics 7, 130 (2019)
DOI: 10.3389/fphy.2019.00130

Complex Networks from Classical to Quantum 
Jacob Biamonte, Mauro Faccin and Manlio De Dominico
Communications Physics 2, 53 (2019)
DOI: 10.1038/s42005-019-0152-6

[Book] Quantum Techniques for Stochastic Mechanics
John C. Baez, Jacob Biamonte
World Scientific Publishing Co Pte Ltd, 276 pp (2018)
DOI: 10.1142/10623
ISBN: 978-981-3226-93-7 arXiv preprint arXiv:1209.3632 and current version [PDF]

Variationally Learning Grover’s Quantum Search Algorithm
Mauro ES Morales, Tim Tlyachev and Jacob Biamonte
Physical Review A 98, 062333 (2018)
DOI: 10.1103/PhysRevA.98.062333

Quantum Machine Learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe and Seth Lloyd
Nature 549, 195-202 (2017)
DOI: 10.1038/nature23474
in Web of Science top 0.1% Highly Cited Paper Index for the field of Physics

Charged String Tensor Networks
Jacob Biamonte
Proceedings of the National Academy of Sciences 114:10, 2447 (2017)
DOI: 10.1073/pnas.1700736114

For papers prior to joining Skoltech, see e.g. Google Scholar.

  1. Fellow, Institute of Mathematics and its Applications (2021)
  2. 2018 Usern Medal Laureate in Formal Sciences
  3. Shapiro Lecture in Mathematical Physics, Pennsylvania State University (2015)
  4. Invited lifelong member of the Foundational Questions Institute (FQXi)
  5. Longuet-Higgins Paper Prize [awarded jointly with J.D. Whitfield and A.A. Guzik for Molecular Physics 109, 735 (2011)]

Selected Plenary-Level Speaking Engagements (2018/2019) 

Is the future quantum — yes, no or a superposition?
Open Innovations Forum, Skolkovo Russia, October 2019
Filmed Public Lecture
URL. https://openinnovations.ru/en/

Quantum Computing from Science to Business
Masters and Robots, Event and Public Forum, Warsaw Poland, October 2019
2000+ attendees
Filmed Public Lecture
Over a dozen accompanying interviews
URL. https://mastersandrobots.tech

Variational Models of Quantum Computation
Episode IX, Google Research Series on Quantum Computing
Google Poland, Warsaw Poland, 10 October 2019
Invited Research Lecture
Video URL. https://www.youtube.com/watch?v=P52iqU50NHg

A Universal Model of Variational Quantum Computation
Quantum Machine Learning and Data Analytics Workshop
Purdue University, Discovery Park, West Lafayette Indiana, United States, September 2019
Invited Research Lecture, Video Online
URL. https://www.purdue.edu/data-science/quantum-machine-learning/

Quantum Enhanced Machine Learning
Physics Challenges in Machine Learning for Network Science
Queen Mary University of London, London United Kingdom, September 2019
Invited Research Lecture
URL. https://www.qmul.ac.uk/maths/news-and-events/events-/physics-challenges-for-machine-learning-and-network-science/

Quantum Machine Learning for Quantum Simulation
Machine Learning for Quantum Matter, Nodita, Stockholm, Sweden, August 2019
Invited Research Lecture
URL. https://indico.fysik.su.se/event/5644/

Quantum Programming Challenges
Science Festival, St. Petersburg Russia 2019
Invited Popular Lecture, Filmed
Several accompanying interviews
URL. https://www.science-fest.ru

Recent Results in the Theory of Variational Quantum Computation
the 5th International Conference on Quantum Technologies, The Russian Quantum Center, Moscow Russia 2019
Invited Research Lecture, Video Online
URL. http://conference.rqc.ru

Not Quantum Computing: what we accidentally discovered while trying to build the impossible
Visionary Lecture Series, Island 20.35, Moscow Russia 2019
Invited Subject Overview
Video URL. https://www.youtube.com/watch?v=MCcC2CX-2qQ&feature=youtu.be

Quantum Enhanced Optimization and Machine Learning
ML Prague,  Prague, Czech Republic, February 2018
3000+ attendees — Europe’s largest machine learning event
Invited Public Lecture, Video and Slides https://bit.ly/2GKaBtd
Invited Panel Discussion, Video https://bit.ly/2GKaBtd
URL. https://2019.mlprague.com

Quantum Machine Learning Matrix Product States
Keynote talk April 23-24, 2018
Workshop on Quantum Information (Harvard, USA)

Quantum Complex Networks
NetSci 2018
Keynote Lighting Talk at International school and conference on network science (Paris, France)
1000 + attendees


Skoltech Graduates.

  1. Maxim Beketov, MSc 2018
  2. Aleksandr Berezutskii, MSc 2019
  3. Anton Bozhedarov, MSc 2020
Ksenia Samburskaya
Senior Research Scientist
Igor Zacharov
Senior Research Scientist
Soumik Adhikary
Research Scientist
Richik Sengupta
Junior Research Scientist

Quantum Information Theory [6 credits] (jointly with Anatoly Dymarsky)

Modern Quantum Algorithms [6 credits]


Lecture Notes.

Quantum Tensor Networks: a pathway to modern diagrammatic reasoning
Jacob Biamonte
in review, 178 pages (2020). preprint arXiv:1912.10049
current version on overleaf

Recent Media Activity. 

Interview given to Moscow – RIA News. For English version please see the following link.

Public lecture at Science 0+ festival (Moscow, translated in Russian). The article about this lecture is published on RIA news portal.

Public lecture at Europes largest machine learning event MLPrauge

pannel discussion on machine learning

popular talk on quantum enhanced machine learning (download video/slides)

Quantum computing interview (English and Italian, filmed in Trento)


on youtube

TASS interview (English and Russian)



Other Interviews

Scientific Blog Articles

  • Introduction to quantum walks on complex networks, Quantum Network Theory Part 1, Tomi Johnson, Azimuth
  • The relation between quantum walks on complex networks and node degree, Quantum Network Theory Part 2, Tomi Johnson, Azimuth
  • Noether’s Theorem: Quantum vs Stochastic, blog article, Ville Bergholm, Azimuth
  • Introduction to Dirichlet operators and the Perron–Frobenius theorem, Network Theory Part 20, Jacob Biamonte, Azimuth
  • An example of the deficiency zero theorem: a diatomic gas, Network Theory Part 18, John Baez and Jacob Biamonte, Azimuth
  • Reaction networks versus Petri nets; the deficiency zero theorem, Network Theory Part 17, John Baez and Jacob Biamonte, Azimuth
  • A stochastic Petri net from population biology whose rate equation is the logistic equation; an equilibrium solution of the corresponding master equation, Network Theory Part 7, Jacob Biamonte, Azimuth

Selected Press Coverage

  • First experiment to break time-reversal symmetry in quantum walks, Institute for Quantum Computing, University of Waterloo Press Release
  • Quantum physics: Flawed to perfection, Nature News Feature by Elizabeth Gibney
  • Tensor Dispenser, about our online tensor network states course, Quantum Factory, article by Colin Hunter
  • James Whitfield receives the Longuet-Higgins Authors Prize for his joint work,Simulation of electronic structure Hamiltonians using quantum computers, [Molecular Physics109:5, 735 (2010)], Announcement of the winner of the Longuet-Higgins Author’s Prize, editorial by Tim Softley
  • Quantum computers do chemistry, New Scientist, article by Colin Barras
  • Quantum computer takes on quantum chemistry, Physics World, article by Hamish Johnston
  • Team builds device that uses two photons to calculate electron energies, Science News , story by Charles Petit
  • Quantum Computer Simulates Hydrogen Molecule Just Right, Wired! , article by Charles Petit
  • Quantum computers simulate molecular reality, MSNBC, article by Charles Q. Choi
  • Review of our approach to tensor network states, the n-Category Cafe, by John Baez

Popular Video

Джейкоб Дэниел Биамонте − американский физик-теоретик, специалист по квантовым вычислениям, доцент Сколковского института науки и технологий, руководитель Лаборатории квантовой обработки информации Сколтеха.

Джейкоб Биамонте окончил Портлендский государственный университет (Portland State University), получив степень бакалавра наук. После окончания учебы работал в компании D-Wave Systems Inc. (г. Ванкувер, Канада), где стал одним из первых в мире разработчиков квантового программного обеспечения (2004-2007 гг.). За свою докторскую диссертацию, которую он защитил в Оксфордском университете, был удостоен Премии канцлеров (Chancellors Award). Биамонте работал научным сотрудником в Гарвардском университете, а также участвовал в совместной постдокторской программе Оксфордского университета/Сингапура. Затем работал в Институте научного обмена (the Institute for Scientific Interchange или Фонд ISI, г. Турин, Италия), где возглавлял отдел квантовой науки (2012-2017). В 2017 году Биамонте поступил на работу в Сколтех, а в 2019 году был назначен руководителем вновь созданной Лаборатории квантовой обработки информации Сколтеха.

Наиболее известные научные работы Биамонте:

  1. 2019 год: Доказательство того, что в вариационных квантовых вычислениях допускается использование универсальной модели квантовых вычислений [arXiv: 1903.04500].
  2. 2016 год: Определение функции спектрального графа, доказуемо удовлетворяющей как (i) определению энтропии, так и (ii) субаддитивности [в соавторстве с Доменико в PRX 6, 041062 (2016)].
  3. 2015 год: Доказательство того, что #P-трудные проблемы подсчета (и, следовательно, задачи принятия решений 2, 3-SAT) могут быть эффективно решены, когда их тензорное сетевое выражение имеет не более O (log c) COPY-тензоров и полиномиальное ограниченное разветвление [в соавторстве с Тернером и Мортоном в J. Stat. Phys. 160, 1389 (2015)].
  4. 2008 год: Доказательство того, что гамильтониан модели двух тел с настраиваемыми членами XX, ZZ (i) является универсальным в вычислительном отношении для адиабатических квантовых вычислений и (ii) допускает QMA-полную проблему решения энергии основного состояния [в соавторстве с Лав в PRA 78, 012352 (2008)]

Биамонте также известен своими новаторскими работами в области создания квантовых алгоритмов для расчета электронной структуры, а в последнее время − работами, объединяющим квантовую обработку информации и машинное обучение.

Биамонте внес существенный теоретический вклад в подготовку и проведение первых в истории экспериментальных демонстраций важнейших разработок в области квантовой обработки информации: демонстрация квантового алгоритма для задач квантовой химии [Nature Chemistry 2, 106 (2009)] (линейная оптика), экспериментальная реализация оптимального управления [Nature Communications 5, 3371 (2014)] (создание квантового ОЗУ с использованием NV-центров в алмазе), а также демонстрация метода квантовой томографии на основе нейронных сетей с использованием реальных экспериментальных данных [npj Quantum Information 6:20 (2020)] (линейная оптика).

Международные награды

  1. Медаль USERN в области формальных наук (2018 год).
  2. Лектор – участник Цикла лекций Шапиро по математической физике, Университет штата Пенсильвания (Pennsylvania State University) (2014 год).
  3. Пожизненное членство в качестве приглашенного участника в Институте фундаментальных вопросов (Foundational Questions Institute, FQXi) (с 2013 года).
  4. Премия Лонге-Хиггинса [статья по молекулярной физике в соавторстве с Дж. Д. Уитфилдом и А. А. Гузиком 109, 735 (2011)].


О Лаборатории квантовой обработки информации

Лаборатория квантовой обработки информации Сколтеха  осуществляет теоретические исследования, разработку и реализацию квантовых алгоритмов, развивая новое научное направление, которое пока только формируется в России и за рубежом. Лаборатория обладает необходимым научно-исследовательским потенциалом для решения актуальных задач, стоящих перед государственным и частным секторами экономики. Научные достижения Лаборатории во многом способствовали укреплению международных позиций Сколтеха в области квантовых технологий. Лаборатория квантовой обработки информации Сколтеха была создана как самостоятельное подразделение Института на основании Приказа № 44 от 19 февраля 2019 года.

В настоящее время Лаборатория участвует в нескольких национальных программах и промышленных проектах:

  1. Крупномасштабный национальный проект «Цифровая экономика», Ведущий исследовательский центр квантовых вычислений (Договор № 014/20).
  2. Работа в рамках соглашений о долгосрочном сотрудничестве при финансовой поддержке компании Huawei Technologies Co., Ltd.
  3. Выполнение исследовательских и консалтинговых проектов по разработке квантовых алгоритмов при финансовой поддержке ПАО «Газпром нефть».


Текущий состав штатных сотрудников, студентов и аспирантов Лаборатории

  • Джейкоб Биамонте, доцент
  • Дина Федотова, административный координатор
  • Анастасия Первышко, младший научный сотрудник
  • Ксения Самбурская, руководитель проекта
  • Дмитрий Юдин, старший преподаватель
  • Игорь Захаров, старший научный сотрудник
  • Оксана Борзенкова, аспирант
  • Эрнесто Кампос, аспирант
  • Андрей Кардашин, аспирант
  • Али Насралла, аспирант
  • Адриано Пальмиери, аспирант
  • Харифан Филатонг, аспирант
  • Алексей Уваров, аспирант
  • Акшай Вишванатан, аспирант
  • Борис Арсеньев, магистрант

Внештатные сотрудники

  • Алексис Аскитопулос (и его лаборатория)
  • Наталья Берлофф
  • Павел Дорожкин (руководитель внешних квантовых программ)
  • Анатолий Дымарский
  • Хенни Уердан
  • Кельвин Уиллоуби

Контактная информация

Сколковский институт науки и технологий
Российская Федерация
143026 г. Москва
ул. Нобеля, д. 3

(Кампус: E-R1-A4-3014 / 20)
(GPS: 55 ° 41’55,7 ″ N 37 ° 21’42,0 ″ E)

Телефон: +7 (985) 445-36-34
Электронная почта:
Веб: http://Quantum.Skoltech.ru

Информация актуальна по состоянию на август 2020 года.