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.
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.
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.
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.
We achieve comprehensive aspects of the industry
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".
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.
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.
Access to the quantum cloud platform through quantum software to achieve multiple fields such as machine learning, big data analysis, biochemical manufacturing, etc.
Practical application includes precision measurement, short-range microwave communication, long-range radio communication and various cutting-edge scientific experiments.
Development of quantum artificial intelligence and machine learning algorithms based on quantum processors and quantum simulators.
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.
Ecological application scenarios of quantum computing public chain
Support end-to-end encrypted data transmission
Adoption of multiple quantum algorithms to secure communication networks
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.
DAPP mobile application
Free registration experience
Free experience token
More user sticky
Calculated by block height distribution force
Fair and just
BTQC reward pool
Calculate by volume
Up to 30 levels of spider web sharing
The QCPU fund, which was raised through the crypto application ecosystem, is targeted at quantum chips.
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.
Superconducting quantum chip solution
Semiconductor quantum chip solution
Ion trap quantum chip solution
Topological quantum chip solution
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.
Learn about our history and progress.
Our mission is to create valuable quantum development and applications. These teams are the think tanks of BTQ Labs.
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.
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.
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.
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.
London businessman and entrepreneur with extensive experience in financial services, real estate, fintech and private investment in early stage companies.
He used to be a global supplier of key components for Apple, and has extensive experience in sales, procurement, outsourcing, listing and manufacturing operations.
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.
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.
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.
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.
Computational scientist, Department of materials science and metallurgy, Cambridge University, focuses on the development of quantum algorithms through quantum simulation.
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.
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.
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.
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.
Ph.D. in physics, University of London, developed high-performance quantum chemistry methods to study the properties of atmospheric molecules.
Led the large-scale deployment of computational chemistry, developed new methods and applications, and provided many important projects of national significance.
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.
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.
Senior research expert of Yale University, superconducting circuit of quantum computation, superconducting microwave, limiter and ultraviolet, optical detector and superconducting microwave amplifier.