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About BTQ

Quantum computing is changing the future

Focus and Dedication to the R&D of Quantum Algorithm, Software and Hardware for Quantum Computing

BTQ Lab was established in June 2007 in Geneva, Switzerland. To this day, it has five laboratories scattered in the United States, Britain, Germany, Australia, and Singapore. The team consists of cutting-edge scientists and industry experts from various fields. It is a genuine Geek-Laboratory in the quantum computing industry. By taking advantages of its own quantum algorithm, it endeavours R&D of quantum chips and quantum computers, and covers the development of applications of the quantum computing technology throughout the entire industrial chain. In efforts to promote the practicality of quantum computing, by taking advantage the the rapid development of blockchain technology, BTQ Lab has launched BTQ Cloud Platform Services in February 2020, allowing global enthusiasts to experience the research and development results of Bit Quantum Lab at first hand.

BTQ Lab has significant advantages in the development of quantum chips and quantum computers. In 2017, it has achieved 32-Qubits. In 2019, it successfully developed a 49-Qubit superconducting quantum chip. During 2013 to 2019, BTQ Lab has received a total of around 1 billion USD initial investments form The Veritables Family Foundation (US), Royal Wealth Fund (UAE), Bitcoin Foundation, BitcoinCash Fund, Litecoin Investment fund, as well as Ethereum Trust Fund.

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What is quantum computing

The theoretical basis of quantum computing is quantum mechanics

Quantum computing is based on the idea of quantum mechanics, which is different from classical computers which is based on classical physics.

A qubit, can be at its coherent superposition states of two logical states 0 and 1, in other words, it can store 0 and 1 at the same time. Consider a memory with N physical bits, if it is a classical memory, it can only store one of 2N possible states; if it is a quantum memory, it can store 2 to the power of N states (2N) at the same time. And as N increases, its ability to store information will increase exponentially.

From the perspective of computable problems, quantum computers can solve certain problems that traditional computers cannot in a reasonable amount of time. In terms of computational efficiency, due to the superposition of quantum mechanics, by adopting some known quantum algorithms, a quantum computer has a remarkably superior computation speed over classical computers.

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Advantages and prospects

Speed and Cost of Computation

Quantum computing is the adoption of basic principles of quantum mechanics to accelerate the process of solving complex calculations, in parallel. Compared to traditional computers, this calculation method can process massive data much more swiftly and efficiently.

Not only quantum computers can run machine learning algorithms faster and efficiently, but also, through quantum computing-aided optimization, many important optimization problems can be solved, including stochastic gradient descent problem that involves various algorithms. Quantum computing may overcome speed and cost problems, it is an important path to advanced artificial intelligence.

In the fields of finance, medicine, pharmacy, chemistry, materials, artificial intelligence, etc., quantum computing has broad applications. It is expected to be applied to artificial intelligence (such as autopilot software), drug synthesis, weather forecasting, financial modelling, as well as efficient and globally optimized searching (such as solving real-time traffic congestion problems, rapid information retrieval), etc.

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Quantum Supremacy

Perform within minutes while classical computers spend over 10,000 years

Quantum supremacy, on behalf of quantum computing devices, has shown that it surpasses all classical computers in specific test cases. The realization of quantum hegemony is an important milestone in the development of quantum computing. Evaluation dominates the standard and requires efficient quantum computing simulators that run on classical computers. In the post-quantum hegemony era, such simulators will also become an important tool for accelerating scientific research in quantum computing.

Researchers predict that the computing power of quantum computers will show a "double-exponential rate of growth", surpassing "Moore's Law," which indicates that the computing power of traditional computers will double in about two years.

Research areas

Ecology of incubation in quantum computing industry

We achieve comprehensive aspects of the industry

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Quantum chip
Superconducting quantum processor

The superconducting quantum chip is based on the modification of the superconducting Josephson structure to construct superconducting qubits, and realize mutual coupling through the "quantum data bus".

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Quantum computer
Quantum central processing unit

Quantum computers can potentially exceed the performance limits of classical computers substantially in cutting-edge technologies such as cryptography, quantum chemical simulation, and quantum artificial intelligence.

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Quantum cloud
Application Platform for Quantum Simulator

Developed based on a simulator, the system is capable of simulating a 32-Qubit quantum chip on a traditional computer for quantum computing and quantum algorithm programming.

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Quantum software
Various Quantum Software Development Kits

Access to the quantum cloud platform through quantum software to achieve multiple fields such as machine learning, big data analysis, biochemical manufacturing, etc.

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Quantum measurement and control
Software and hardware for measurement and control of quantum chips

Practical application includes precision measurement, short-range microwave communication, long-range radio communication and various cutting-edge scientific experiments.

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Quantum applications
Artificial intelligence and chemical applications

Development of quantum artificial intelligence and machine learning algorithms based on quantum processors and quantum simulators.

Quantum encryption application ecology

We decided to use the advantage to open up a BTQ cloud computing quantum entanglement platform, to allocate computing Token participants, in order to jointly build a quantum computing ecology system and finally fulfill the research of quantum computing.

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Cryptocurrency
Quantum Computing Applications

Ecological application scenarios of quantum computing public chain

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Crypto Social
Protecting social privacy

Support end-to-end encrypted data transmission

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cyber security
Quantum Network Defense

Adoption of multiple quantum algorithms to secure communication networks

Register for free

BTQ quantum cloud, experience quantum computing mining

Realize quantum computing through mobile devices, fully access the BTQ public chain system, and use quantum computing power and accelerated computing power mechanisms to provide end users with the ultimate quantum mining experience.

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Register for free

DAPP mobile application
Free registration experience
Free experience token

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Mining every 30 minutes

Interactive mining
More exciting
More user sticky

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Quantum computing power

Calculated by block height distribution force
Fair and just
Customizable options

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Quantum acceleration

BTQC reward pool
Calculate by volume
Up to 30 levels of spider web sharing

Special fund

QCPU Quantum Chip R & D Fund

The QCPU fund, which was raised through the crypto application ecosystem, is targeted at quantum chips.

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The quantum chip cannot be realized by quantum entanglement. For example, on a 1 cm2 superconducting qubit chip, 20 qubits are evenly distributed around the resonant cavity. This circuit design successfully enables the qubit to achieve quantum entanglement.

BTQ will develop quantum chips with different solutions for different application areas:

    Superconducting quantum chip solution
    Semiconductor quantum chip solution
    Ion trap quantum chip solution
    Topological quantum chip solution

Consensus Community

TOKEN Issuance

The vision of BT-Quantum System is to establish a new type of BTQ quantum cryptocurrency that is safer than Bitcoin, to allow global BTQ participants to share the wealth of quantum mining, and to use the triple consensus mechanism of POT, POS, and POW to enable reasonable execution of public chain consensus community nodes.

BTQ
BT-Quantum
Total 210 million
BTQC
BT-Quantum Coin
Total 2.1 billion
QCPU
Quantum CPU
Total 21 million
Download

Doc & DAPP

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Whitepaper
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BTQ Cloud App
Roadmap

Development milestones

Learn about our history and progress.

OCTOBER 2002
Study quantum mechanics
  • Geneva International Telecommunication Union Summit, group of communications scientists interested in improving communication through quantum mechanics
FEBRUARY 2003
Established Brucetime Lab
  • Started fundamental research on quantum mechanics communication technology
JUNE 2007
BT-Quantum Lab as an independent spin-off
  • Focus on quantum algorithm research and developed the first generation quantum simulation system
MARCH 2010
BT-Quantum Lab has five laboratories in the US, UK, Germany, Australia, and Singapore
  • Introduction of U.S. Veritables family funds, UAE Royal Wealth Fund
AUGUST 2017
Implementing 32-bit qubits
  • Obtained Ethereum Foundation investment and technical support, BTQ public chain entered the stage of substantial development
OCTOBER 2019
Developed a 54-bit QCPU superconducting quantum chip
  • Release of Block-chain quantum application strategy,Obtained GBTC Bit Fund investment, BTQC and QCPU sidec hains entered the stage of substantial development
FEBRUARY 2020
Launch of BTQ cloud platform and public chain wallet
  • public chain issues BTQ, BTQC, QCPU Token
OCTOBER 2020
Commercial version of quantum computer releases
FEBRUARY 2021
Quantum cloud applications release
OCTOBER 2022
Quantum software release
FEBRUARY 2023
Quantum measurement and control, quantum applications relase
core team

Scientists and industry experts from various fields

Our mission is to create valuable quantum development and applications. These teams are the think tanks of BTQ Labs.

senior consultant

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Robert Schoelkopf
senior consultant

Professor Stirling of Applied Physics and Physics at Yale University, a member of the National Academy of Sciences, and a leader in the development of solid state quantum bits for quantum computing.

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Róman Orús
Quantum Science Advisor

Research Professor at DIPC International Physics Center, President of the Royal Spanish Physical Society. Early career award of the European Physical Society and researcher Mary Curie.

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Andrew Williamson
Technology Investment Advisor

Andrew has worked in materials science and semiconductor research for ten years at the US Government Research Laboratory, and has extensive experience in new technology investment.

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Hermann Hauser KBE
Information Technology Consultant

Herman is a Fellow of the Royal Institute of Physics, the Royal Society of Chemistry and the Royal Academy of Engineering, and an Honorary Fellow of Kings College, Cambridge.

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Nyangiels Nielsen
Financial Investment Advisor

London businessman and entrepreneur with extensive experience in financial services, real estate, fintech and private investment in early stage companies.

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Matt Taylor
Operation consultant

He used to be a global supplier of key components for Apple, and has extensive experience in sales, procurement, outsourcing, listing and manufacturing operations.

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Robert Youngjohns
Software consultant

Hewlett-Packard executive vice president and general manager of Hewlett-Packard Software assisted Hewlett-Packard's software business unit with Micro Focus in a $ 9 billion merger.

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Thomas Benjamin
General Counsel

Tom has previously held several executive positions at the CIA, including Deputy Director of Legislation and Deputy General Counsel, and was awarded the Outstanding Professional Intelligence Medal.

Core team

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Michael Hatridge
Chief executive partner

Quantum measurement scientist. He is an assistant professor in the Department of physics and astronomy at the University of Pittsburgh. He is widely engaged in the development of quantum measurement and parametric amplifiers.

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Samuel Mugel
partner,Quantum simulation expert

The Spanish ICFO and the University of Southampton have jointly awarded doctorates. The computational physicist of cortirio, UK, once served as the scientific advisor of the quantum revolution foundation.

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Jonathan Bean
Chief technology officer

Computational scientist, Department of materials science and metallurgy, Cambridge University, focuses on the development of quantum algorithms through quantum simulation.

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Harvey Moseley
Chief hardware Officer

With rich experience in complex systems operating at low temperature, he invented and led the development of low-temperature X-ray calorimeter and the creation of micro shutter array.

Technical team

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Adam Simon
AI and chemical scientists

His research direction is to solve mechanical problems in organic chemistry by using computational methods, and to study new algorithms of industrial intelligence, inverse synthesis analysis and chemical synthesis.

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Anurag Mishra
High performance computing scientist

Ph.D. in physics from the University of Southern California, focusing on quantum computing and quantum devices. Application of quantum computing in ab initio quantum chemistry and drug discovery.

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Benjamin Gudlewski
Superconducting device Engineer

Focusing on superconducting device manufacturing, he brings a variety of skills for micron and nanometer level manufacturing, high-speed electronic equipment, optical waveguide and low-temperature equipment.

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Dan Underwood
Software Development Engineer

Ph.D. in physics, University of London, developed high-performance quantum chemistry methods to study the properties of atmospheric molecules.

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Dave Plant
Chief research scientist

Led the large-scale deployment of computational chemistry, developed new methods and applications, and provided many important projects of national significance.

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Eddie Williams
AI and Algorithm Engineers

His research focuses on the language foundation of human-computer interaction and deep reinforcement learning. He is committed to AI algorithm and potential customer optimization module.

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Enrique Lizaso Olmos
Quantum blockchain expert

Ph.D. in engineering from the University of Barcelona, MBA from IESE business school, vice president of quantum blockchain alliance, vice president of Quantum World Association.

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Luigi Frunzio
Chief technical expert

Senior research expert of Yale University, superconducting circuit of quantum computation, superconducting microwave, limiter and ultraviolet, optical detector and superconducting microwave amplifier.

Cooperative partner

Investment institution

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