 | |
| Type | Private |
|---|---|
| Industry | Quantum Computing |
| Founded | 2016 |
| Founder | Christian Weedbrook, CEO |
| Headquarters | Toronto, Canada |
| Website | xanadu |
Xanadu Quantum Technologies is a Canadian quantum computing hardware and software company headquartered in Toronto, Ontario. [1] [2] [3] The company develops cloud accessible photonic quantum computers [4] [5] [6] [7] and develops open-source software for quantum machine learning and simulating quantum photonic devices. [8] [9] [10]
Xanadu was founded in 2016 by Christian Weedbrook and was a participant in the Creative Destruction Lab's accelerator program. Since then, Xanadu has raised a total of US$245M in funding with venture capital financing from Bessemer Venture Partners, Capricorn Investment Group, Tiger Global Management, In-Q-Tel, Business Development Bank of Canada, OMERS Ventures, Georgian, Real Ventures, Golden Ventures and Radical Ventures [11] [12] [13] [14] [15] [16] and innovation grants from Sustainable Development Technology Canada [17] [18] [19] [20] and DARPA. [21]
Xanadu's hardware efforts have been focused on developing programmable Gaussian boson sampling (GBS) devices. GBS is a generalization of boson sampling, which traditionally uses single photons as an input; GBS uses squeezed states of light. [22] [23] [24] [25] [26] [27] In 2020, Xanadu published a blueprint for building a fault-tolerant quantum computer using photonic technology. [28]
In June 2022 Xanadu reported on a boson sampling experiment summing up to those of Google and University of Science and Technology of China (USTC). Their setup used loops of optical fiber and multiplexing to replace the network of beam splitters by a single one which made it also more easily reconfigurable. They detected a mean of 125 to 219 photons from 216 squeezed modes (squeezed light follows a photon number distribution so they can contain more than one photon per mode) and claimed to have obtained a speedup 50 million times bigger than previous experiments. [29] [30]
This is a timeline of quantum computing.
In quantum computing, a quantum algorithm is an algorithm which runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation. A classical algorithm is a finite sequence of instructions, or a step-by-step procedure for solving a problem, where each step or instruction can be performed on a classical computer. Similarly, a quantum algorithm is a step-by-step procedure, where each of the steps can be performed on a quantum computer. Although all classical algorithms can also be performed on a quantum computer, the term quantum algorithm is usually used for those algorithms which seem inherently quantum, or use some essential feature of quantum computation such as quantum superposition or quantum entanglement.
Quantum programming is the process of designing or assembling sequences of instructions, called quantum circuits, using gates, switches, and operators to manipulate a quantum system for a desired outcome or results of a given experiment. Quantum circuit algorithms can be implemented on integrated circuits, conducted with instrumentation, or written in a programming language for use with a quantum computer or a quantum processor.
Optical computing or photonic computing uses light waves produced by lasers or incoherent sources for data processing, data storage or data communication for computing. For decades, photons have shown promise to enable a higher bandwidth than the electrons used in conventional computers.
A photonic integrated circuit (PIC) or integrated optical circuit is a microchip containing two or more photonic components which form a functioning circuit. This technology detects, generates, transports, and processes light. Photonic integrated circuits utilize photons as opposed to electrons that are utilized by electronic integrated circuits. The major difference between the two is that a photonic integrated circuit provides functions for information signals imposed on optical wavelengths typically in the visible spectrum or near infrared (850–1650 nm).
Within quantum technology, a quantum sensor utilizes properties of quantum mechanics, such as quantum entanglement, quantum interference, and quantum state squeezing, which have optimized precision and beat current limits in sensor technology. The field of quantum sensing deals with the design and engineering of quantum sources and quantum measurements that are able to beat the performance of any classical strategy in a number of technological applications. This can be done with photonic systems or solid state systems.
Yoshihisa Yamamoto is the director of Physics & Informatics Laboratories, NTT Research, Inc. He is also Professor (Emeritus) at Stanford University and National Institute of Informatics (Tokyo).
Christopher Roy Monroe is an American physicist and engineer in the areas of atomic, molecular, and optical physics and quantum information science, especially quantum computing. He directs one of the leading research and development efforts in ion trap quantum computing. Monroe is the Gilhuly Family Presidential Distinguished Professor of Electrical and Computer Engineering and Physics at Duke University and is College Park Professor of Physics at the University of Maryland and Fellow of the Joint Quantum Institute and Joint Center for Quantum Computer Science. He is also co-founder and chief scientist at IonQ, Inc.
Linear optical quantum computing or linear optics quantum computation (LOQC) is a paradigm of quantum computation, allowing universal quantum computation. LOQC uses photons as information carriers, mainly uses linear optical elements, or optical instruments to process quantum information, and uses photon detectors and quantum memories to detect and store quantum information.
Boson sampling is a restricted model of non-universal quantum computation introduced by Scott Aaronson and Alex Arkhipov after the original work of Lidror Troyansky and Naftali Tishby, that explored possible usage of boson scattering to evaluate expectation values of permanents of matrices. The model consists of sampling from the probability distribution of identical bosons scattered by a linear interferometer. Although the problem is well defined for any bosonic particles, its photonic version is currently considered as the most promising platform for a scalable implementation of a boson sampling device, which makes it a non-universal approach to linear optical quantum computing. Moreover, while not universal, the boson sampling scheme is strongly believed to implement computing tasks which are hard to implement with classical computers by using far fewer physical resources than a full linear-optical quantum computing setup. This advantage makes it an ideal candidate for demonstrating the power of quantum computation in the near term.
Integrated quantum photonics, uses photonic integrated circuits to control photonic quantum states for applications in quantum technologies. As such, integrated quantum photonics provides a promising approach to the miniaturisation and scaling up of optical quantum circuits. The major application of integrated quantum photonics is Quantum technology:, for example quantum computing, quantum communication, quantum simulation, quantum walks and quantum metrology.
Cloud-based quantum computing is the invocation of quantum emulators, simulators or processors through the cloud. Increasingly, cloud services are being looked on as the method for providing access to quantum processing. Quantum computers achieve their massive computing power by initiating quantum physics into processing power and when users are allowed access to these quantum-powered computers through the internet it is known as quantum computing within the cloud.
In quantum computing, quantum supremacy or quantum advantage is the goal of demonstrating that a programmable quantum computer can solve a problem that no classical computer can solve in any feasible amount of time, irrespective of the usefulness of the problem. The term was coined by John Preskill in 2012, but the concept dates back to Yuri Manin's 1980 and Richard Feynman's 1981 proposals of quantum computing.
In quantum computing, quantum memory is the quantum-mechanical version of ordinary computer memory. Whereas ordinary memory stores information as binary states, quantum memory stores a quantum state for later retrieval. These states hold useful computational information known as qubits. Unlike the classical memory of everyday computers, the states stored in quantum memory can be in a quantum superposition, giving much more practical flexibility in quantum algorithms than classical information storage.
Stefanie Barz is a German physicist and Professor of Quantum Information and Technology at the University of Stuttgart. She studies quantum physics and quantum information in photonics.
Jiuzhang is the first photonic quantum computer to claim quantum supremacy. Previously quantum supremacy has been achieved only once in 2019 by Google’s Sycamore, however Google's computer was based on superconducting materials, and not photons.
Edoardo Charbon is a Swiss electrical engineer. He is a professor of quantum engineering at EPFL and the head of the Laboratory of Advanced Quantum Architecture (AQUA) at the School of Engineering.
Malvin Carl Teich is an American physicist and computational neuroscientist and Professor Emeritus at Columbia University and Boston University. He is also a consultant to government, academia, and private industry, where he serves as an advisor in intellectual-property conflicts. He is the coauthor of Fundamentals of Photonics, and of Fractal-Based Point Processes.