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Moscow Institute of Physics and Technology

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Namestring
Moscow Institute of Physics and Technology
Legal namestring
Moscow Institute of Physics and Technology
Websiteurl
mipt.ru
Company typeenum
Private
Founded yearint
1946
Descriptiontext

Moscow Institute of Physics and Technology (MIPT, informally Phystech) is a leading Russian state university founded in 1946 and headquartered in Moscow, with a workforce of 1,001-5,000 employees. The institution's primary function is higher education and fundamental/applied research across physics, mathematics, and engineering, sustained by Russian state funding rather than commercial revenue. Its research portfolio includes a dedicated Neural Nets and Deep Learning Lab led by Mikhail Burtsev, and a notable line of work applying quantum annealing hardware to robotics inverse-kinematics problems in collaboration with Q Deep, Innopolis University, Central University in Moscow, and AIRI, with D-Wave providing the underlying quantum hardware.

The core technology associated with MIPT in the available data is a novel QUBO-based formulation of continuous inverse-kinematics problems, paired with a hybrid quantum-classical solver integration. This methodology reframes robot motion planning as Quadratic Unconstrained Binary Optimization and demonstrates up to 30-fold faster solutions on large instances compared to purely classical approaches. The work is positioned as a proof-of-concept showing that current quantum annealing hardware can already address simplified robotic motion planning tasks, with a stated pathway to higher-dimensional planning as hardware scales.

MIPT does not operate a commercial go-to-market motion. There are no pricing models, no commercial distribution or marketing channels, no paying customer relationships, no funding rounds, no parent company or institutional investors, and no M&A activity in the dataset. Research outputs are disseminated through academic publications, conferences, and collaborative research partnerships. The only customer-adjacent segmentation identifies a primary audience of the Research and Academic Community and a secondary audience of the Robotics Industry, both framed as research impact rather than revenue segments. As a state university, the entity's commercial relevance for PE/VC/M&A is presently limited to its role as a research and talent node within the Russian quantum-AI ecosystem.

Short descriptiontext

Moscow Institute of Physics and Technology is a leading Russian state university founded in 1946, conducting higher education and applied research in physics, AI, and quantum computing — including quantum annealing applied to robotics motion planning via a multi-institution consortium.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1,001–5,000
akta.pro rankint
HeadquartersMoscow, Russia
HQ citystring
Moscow
HQ countrystring
Russia
HQ regionstring
Europe
Markets served

Serves global market

Keyword5 values
higher education, university education, scientific research, graduate programs, quantum computing research
Industry3 codes
1Quantum Tech Commercialization, IP, Tech Transfer & Venture Research
CodeHDAGAMANPrimaryYes
2AI & Machine Learning for Robotics Programs
CodeEDAMADAKPrimaryNo
3Quantum Communications, Networking & Quantum Internet Research
CodeHDAGAMAHPrimaryNo
NAICS code1 code
  • Research and Development in Nanotechnology541713
SIC code1 code
  • Services-Commercial Physical & Biological Research8731
Product category
Higher Education
Social media profiles2 records
Cost components4 values
Personnel, Operations, Technology or R&D, Infrastructure
GTM typeB2C
B2C
Offering typeServices
Services
Core offering1 text field

Moscow Institute of Physics and Technology (MIPT) is a Russian state university that delivers higher education programs and conducts scientific research, with a recent research focus on quantum annealing applications for robotics inverse-kinematics problems. The institution operates as both an academic teaching body and an applied research organization collaborating with industry and academic partners.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 value
  • Up to 30-fold faster solutions with hybrid quantum-classical solvers compared to purely classical approaches on large instances
Product and service2 records
1Higher Education Programs
CategoryHigher Education
2Scientific Research and Development
CategoryResearch Services
Partnership5 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Research collaboration partner in the quantum annealing research project. Q Deep scientists worked alongside MIPT researchers to demonstrate quantum annealing solving robotics inverse-kinematics problems as a proof-of-concept. The partnership involved reformulating continuous inverse-kinematics problems as QUBO binary optimization problems.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Collaborating academic institution in the Russian research team that demonstrated quantum annealing for robot motion problems. Contributed to the research alongside MIPT, Q Deep, Central University in Moscow, and AIRI.

3Central University in Moscow
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Collaborating academic institution in the Russian research consortium working on quantum annealing applications for robotics. Part of the multi-institution team including MIPT, Q Deep, Innopolis University, and AIRI.

theaiinsider.tech
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Russian Artificial Intelligence Research Institute collaborating with MIPT on the quantum annealing research project. Contributed to demonstrating proof-of-concept for quantum annealing solving robot inverse-kinematics problems.

Strategic tierCoreTypeTechnology or Integration
Description

Provider of quantum annealing hardware used by the research team. The study utilized D-Wave's quantum annealing hardware to solve reformulated inverse-kinematics problems, demonstrating that current quantum hardware can address simplified robotic motion planning tasks with measurable accuracy and speed.

Recent move4 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight4 records

Each record includes

Type, Description

Market position
Competitive moat3 records

Each record includes

Type, Details

Key risks5 records

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Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
No
API detail
Has APIbool
No

Docs URL, Description

AI maturity
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Has app

Feature2 records

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Title, Differentiator, Description, Source

Core technology
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Profiles1 record

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No data
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Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Moscow Institute of Physics and Technology

Higher Educationmipt.ru

Moscow Institute of Physics and Technology is a leading Russian state university founded in 1946, conducting higher education and applied research in physics, AI, and quantum computing — including quantum annealing applied to robotics motion planning via a multi-institution consortium.

What Moscow Institute of Physics and Technology does

Moscow Institute of Physics and Technology (MIPT, informally Phystech) is a leading Russian state university founded in 1946 and headquartered in Moscow, with a workforce of 1,001-5,000 employees. The institution's primary function is higher education and fundamental/applied research across physics, mathematics, and engineering, sustained by Russian state funding rather than commercial revenue. Its research portfolio includes a dedicated Neural Nets and Deep Learning Lab led by Mikhail Burtsev, and a notable line of work applying quantum annealing hardware to robotics inverse-kinematics problems in collaboration with Q Deep, Innopolis University, Central University in Moscow, and AIRI, with D-Wave providing the underlying quantum hardware.

The core technology associated with MIPT in the available data is a novel QUBO-based formulation of continuous inverse-kinematics problems, paired with a hybrid quantum-classical solver integration. This methodology reframes robot motion planning as Quadratic Unconstrained Binary Optimization and demonstrates up to 30-fold faster solutions on large instances compared to purely classical approaches. The work is positioned as a proof-of-concept showing that current quantum annealing hardware can already address simplified robotic motion planning tasks, with a stated pathway to higher-dimensional planning as hardware scales.

MIPT does not operate a commercial go-to-market motion. There are no pricing models, no commercial distribution or marketing channels, no paying customer relationships, no funding rounds, no parent company or institutional investors, and no M&A activity in the dataset. Research outputs are disseminated through academic publications, conferences, and collaborative research partnerships. The only customer-adjacent segmentation identifies a primary audience of the Research and Academic Community and a secondary audience of the Robotics Industry, both framed as research impact rather than revenue segments. As a state university, the entity's commercial relevance for PE/VC/M&A is presently limited to its role as a research and talent node within the Russian quantum-AI ecosystem.

Moscow Institute of Physics and Technology firmographics

Firmographics
Name
Moscow Institute of Physics and Technology
Legal name
Moscow Institute of Physics and Technology
Website
https://mipt.ru
Company type
Private
Founded year
1946
Operating status
Operating
Headcount range
1,001–5,000 employees
Short description
Moscow Institute of Physics and Technology is a leading Russian state university founded in 1946, conducting higher education and applied research in physics, AI, and quantum computing — including quantum annealing applied to robotics motion planning via a multi-institution consortium.
Ownership category
akta.pro rank

Moscow Institute of Physics and Technology industry classification

Industry
Product category
Higher Education
NAICS
Research and Development in Nanotechnology (541713)
SIC
Services-Commercial Physical & Biological Research (8731)
akta.pro primary industry
Quantum Tech Commercialization, IP, Tech Transfer & Venture Research (HDAGAMAN)
akta.pro secondary industries
AI & Machine Learning for Robotics Programs (EDAMADAK), Quantum Communications, Networking & Quantum Internet Research (HDAGAMAH)

Keywords

  • Higher education
  • University education
  • Scientific research
  • Graduate programs
  • Quantum computing research

Where Moscow Institute of Physics and Technology is headquartered

Location

Headquarters

HQ city
Moscow
HQ country
Russia
HQ region
Europe

Markets served

Moscow Institute of Physics and Technology business model

Business model
GTM type
B2C
Offering type
Services
Cost components
Personnel, Operations, Technology or R&D, Infrastructure

Moscow Institute of Physics and Technology product offering

Product offering

Core offering

Moscow Institute of Physics and Technology (MIPT) is a Russian state university that delivers higher education programs and conducts scientific research, with a recent research focus on quantum annealing applications for robotics inverse-kinematics problems. The institution operates as both an academic teaching body and an applied research organization collaborating with industry and academic partners.

Differentiator

Problem solved

Functional benefit

Products and services

  • Higher Education Programs
  • Scientific Research and Development

Quantifiable outcome

  • Up to 30-fold faster solutions with hybrid quantum-classical solvers compared to purely classical approaches on large instances

Companies that use Moscow Institute of Physics and Technology

Customer profile

Segments2 records

Ideal customer profiles2 records

Moscow Institute of Physics and Technology technology and API

Technology

Technology focussed No

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Feature2 records

Moscow Institute of Physics and Technology partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered core.

  • Q DeepcoreStrategic or Co-development PartnerResearch collaboration partner in the quantum annealing research project. Q Deep scientists worked alongside MIPT researchers to demonstrate quantum annealing solving robotics inverse-kinematics problems as a proof-of-concept. The partnership involved reformulating continuous inverse-kinematics problems as QUBO binary optimization problems.
  • Innopolis UniversitycoreStrategic or Co-development PartnerCollaborating academic institution in the Russian research team that demonstrated quantum annealing for robot motion problems. Contributed to the research alongside MIPT, Q Deep, Central University in Moscow, and AIRI.
  • Central University in MoscowcoreStrategic or Co-development PartnerCollaborating academic institution in the Russian research consortium working on quantum annealing applications for robotics. Part of the multi-institution team including MIPT, Q Deep, Innopolis University, and AIRI.
  • AIRI (Artificial Intelligence Research Institute)coreStrategic or Co-development PartnerRussian Artificial Intelligence Research Institute collaborating with MIPT on the quantum annealing research project. Contributed to demonstrating proof-of-concept for quantum annealing solving robot inverse-kinematics problems.
  • D-WavecoreTechnology or IntegrationProvider of quantum annealing hardware used by the research team. The study utilized D-Wave's quantum annealing hardware to solve reformulated inverse-kinematics problems, demonstrating that current quantum hardware can address simplified robotic motion planning tasks with measurable accuracy and speed.

Recent moves4 records

Expansion highlights4 records

Moscow Institute of Physics and Technology competitors and assessment

Company assessment

Market position

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

Moscow Institute of Physics and Technology social profiles

Digital presence

Moscow Institute of Physics and Technology financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Moscow Institute of Physics and Technology leadership team

Management profile

Number of profiles

Profiles1 record

Moscow Institute of Physics and Technology funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Moscow Institute of Physics and Technology M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Moscow Institute of Physics and Technology

What does Moscow Institute of Physics and Technology do?

Moscow Institute of Physics and Technology (MIPT) is a Russian state university that delivers higher education programs and conducts scientific research, with a recent research focus on quantum annealing applications for robotics inverse-kinematics problems. The institution operates as both an academic teaching body and an applied research organization collaborating with industry and academic partners.

Is Moscow Institute of Physics and Technology a public or private company?

Moscow Institute of Physics and Technology is a private company. It is classified as state government owned and is currently operating.

When was Moscow Institute of Physics and Technology founded?

Moscow Institute of Physics and Technology was founded in 1946. It employs 1,001 to 5,000 people.

Where is Moscow Institute of Physics and Technology based?

Moscow Institute of Physics and Technology is headquartered in Moscow, Russia, in the Europe region.

Does Moscow Institute of Physics and Technology have an API?

No public API is recorded for Moscow Institute of Physics and Technology.

What industry is Moscow Institute of Physics and Technology in?

Moscow Institute of Physics and Technology's product category is Higher Education. Its primary akta.pro industry code is HDAGAMAN, Quantum Tech Commercialization, IP, Tech Transfer & Venture Research, with a secondary code of EDAMADAK, AI & Machine Learning for Robotics Programs. Its NAICS code is 541713 and its SIC code is 8731.

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rb.ruЯндекс опубликовал единую модель обучения специалистов по физическому ИИ — в разработке участвовали ведущие вузыЯндекс and leading Russian universities developed a model for training specialists in physical AI, covering requirements for engineers and managers. The model is open to educational institutions and has been adopted by five universities, with new AI robotics programs planned. Яндекс also plans to invest over 400 million rubles in AI education in 2026.AI InsiderRussian Scientists Solve Robot Motion Problems With Quantum AnnealersRussian scientists from Q Deep, Innopolis University, Moscow Institute of Physics & Technology, Central University in Moscow, and AIRI demonstrated that quantum annealing can solve robotics inverse-kinematics problems as a proof of concept. The team reframed the inverse-kinematics challenge as a Quadratic Unconstrained Binary Optimization problem and solved it on D-Wave's quantum annealing hardware, achieving up to 30-fold faster solutions with hybrid quantum-classical solvers compared to purely classical approaches on large instances. The researchers note this is a proof-of-concept that does not yet outperform state-of-the-art continuous solvers, but it establishes a pathway for applying quantum optimization to higher-dimensional robot motion planning as hardware scales.ThequantuminsiderRussian Scientists Show a Proof of Concept For Using Quantum Annealers to Solve Robot Motion ProblemsA Russian research collaboration involving Q Deep, Innopolis University, the Moscow Institute of Physics & Technology, Central University in Moscow, and the Artificial Intelligence Research Institute demonstrated that quantum annealing can solve robot inverse-kinematics problems as a proof of concept. The team reformulated the continuous inverse-kinematics problem as a QUBO binary optimization and solved it on D-Wave hardware, finding that hybrid quantum-classical solvers delivered up to 30-fold faster solutions on large instances compared with purely classical approaches. While the approach does not outperform state-of-the-art continuous solvers, the study published in Scientific Reports on December 31, 2025, establishes that current quantum hardware can address simplified robotic motion planning tasks with measurable accuracy and speed.YouTubeRussia Plans Its First Silicon-Photonics Chip Factory—Here’s What It MeansRussia has announced the development of a national silicon-photonics foundry by the Element Group, aiming to produce next-generation chips that utilize light for data transfer. The project involves major partners including Micron, Skoltech, MIPT, and Rosatom-linked institutes, with a goal to deliver more than 17 photonics products by 2030.LinkedInCybersecurity startups raise millions in funding and M&A activityCyberStage, a cybersecurity startup growth program, facilitated funding and M&A activities for startups HiveTrace and BearPass. HiveTrace secured investment from MIPT startup studio to address LLM risks, while BearPass closed a deal with Indid for its corporate password management solution.TechCrunchSpace billboards could cost $65M and still turn a profitRussian researchers at Skolkovo Institute of Science and Technology (Skoltech) and Moscow Institute of Physics and Technology (MIPT) published a study proposing a space-based advertising system using a constellation of about 50 CubeSat satellites that could deploy reflective surfaces to display sunlight-based advertisements visible from Earth. The study estimates the $65 million system could generate approximately $111 million in net income over three months of operation, making the concept financially viable for the first time. The article notes that while the economics may now work, significant public resistance, reputational risks for advertisers, and unresolved jurisdictional questions remain major obstacles to implementation.The Irish SunScientists have built world’s first ‘time machine’ in experiment which defies the laws of physicsResearchers at the Moscow Institute of Physics and Technology successfully used a rudimentary quantum computer to reverse the evolution of qubits, effectively simulating time reversal. The experiment achieved an 85% success rate with two qubits and 50% with three qubits, aiming to improve quantum computing processing power.PR NewswirePicsArt Opens AI Lab in Moscow; Collaborates with Moscow Institute of Physics and Technology for R&DPicsArt announced the opening of its AI Lab in Moscow on October 11, 2018, in partnership with the Moscow Institute of Physics and Technology (MIPT) for R&D collaboration. The company plans to invest significantly in hiring AI talent to enhance existing features such as image transformation, segmentation, and content recommendation, while also developing cutting-edge AI applications. PicsArt, which has over 100 million monthly active users and is backed by investors including Sequoia Capital, aims to strengthen its leadership position in AI and machine learning for its social storytelling platform.The Indian ExpressNew cheap sensor to detect fatal diseasesResearchers at the Moscow Institute of Physics and Technology, including Dmitry Fedyanin and Yury Stebunov, developed an optical nanomechanical sensor that can detect tumour markers and viral disease markers such as HIV. The chip-sized sensor, published in Scientific Reports, can track mass changes of a few kilodaltons and is made via standard CMOS processes.Purdue University'Single-photon emission enhancement' seen as step toward quantum technologiesPurdue University researchers have demonstrated a new method to enhance single-photon emission by attaching nanodiamonds containing nitrogen-vacancy centers to a hyperbolic metamaterial made from titanium nitride and aluminum scandium nitride, representing a step toward practical quantum computing and communications technologies. The research, published in Laser & Photonics Reviews, found that the system produces single photons faster, in larger quantities, and more directionally while functioning at room temperature and remaining compatible with standard semiconductor manufacturing processes. The international collaboration included researchers from the Russian Quantum Center, Moscow Institute of Physics and Technology, Lebedev Physical Institute, and Photonic Nano-Meta Technologies Inc.