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Quantum Computing seeks to harness massive parallelism in computation by examining many entangled quantum states simultaneously rather than individual classical states sequentially
Quantum computers will be able to solve certain 'multi-root' problems (e.g. factorising very large numbers) much more quickly than any classical computers that use even the best algorithms. Oxford Instruments' wide range of systems provides the low temperature environment that is essential to the performance of the quantum processor. This processor is able to address complex computational challenges that are difficult or impractical to perform using conventional systems, and represents a paradigm shift in quantum technology.
In a world overwhelmed by increasing amount of data, finding new ways to store and process information has become a necessity. Quantum information processing (QIP) uses qubits as its basic information units. QIP has many facets - from quantum simulation, to cryptography, to quantum computation, which is expected to solve problems more complex than those within the capabilities of conventional computers.
The quantum Hall effect is a quantum-mechanical version of the Hall effect, observed in two-dimensional electron systems subjected to low temperatures and strong magnetic fields. Physicists have long used standard electrical transport measurements such as resistivity, conductance and the Hall effect to gain information on the electronic properties and structure of materials. Now quantum transport measurements such as the quantum Hall effect (QHE) and fractional quantum Hall effect (FQHE) in two-dimensional electron gases (2DEG) and topological insulators – along with a range of other more complex measurements – inform researchers on material properties with ultimate precision leading to primary standards
The discoveries and development of quantum physics in the early 20th century transformed science and unlocked whole new generations of innovative and commercial technologies. Quantum technologies now carry the promise of enabling the next generation of sensors and detectors which exploit quantum effects. Many quantum technologies will rely upon ultra low temperatures (close to absolute zero) to work. Our user-friendly ultra low temperature environments make this possible. Quantum sensing describes the use of a quantum system, quantum properties or quantum phenomena to perform a measurement of a physical quantity. The field is expected to provide new opportunities especially with regard to high sensitivity and precision in applied physics and other areas of science.
Quantum transport measurements are widely used in characterising new materials and devices for emerging quantum technology applications such as quantum information processing (QIP), quantum computing (QC) and quantum sensing. Such devices hold the potential to revolutionise future technology in high performance computing and sensing in the same way that semiconductors and the transistor did over half a century ago.
Quantum Technology: Challenges and solutions for device fabrication and characterisation
This webinar will provide an overview of device fabrication and characterisation challenges and solutions for applications in Quantum Technology such as Quantum computing, communications and sensing. The next step up in device performance will be driven by development in materials processing and characterisation technology. In this webinar we will address three aspects of device development for superconducting qubits and Quantum circuits:
Qubit characterization and measurement in cryogenic systems - Dr Ziad Mehlem, Oxford Instruments NanoScience
Plasma etching of superconducting metals - Colin Welch, Oxford Instruments Plasma Technology
Plasma-enhanced ALD of superconductive thin films with RF substrate biasing - Dr Yi Shu, Oxford Instruments Plasma Technology
Date: Thursday 26th March, 3pm GMTRegister Now: Quantum Technology: Challenges and solutions
Cryogenics for Quantum Applications with the British Cryogenics Council
Recent technical advances in Cryofree® technology are enabling new class of cryogenic systems that are compact in size and cryogen free. We will present recent progress in new cryogenic solutions addressing the technical challenges one need to address for developments of an integrated and compact platforms for quantum applications. The new systems are small and combined with Cryofree® technology, advanced sample management and instrumentation is enabling new class of quantum-enhanced applications.Watch Now: Cryogenics for Quantum Applications
Transport properties of low dimensional semiconductors
Javad Shabani, Assistant Professor of Physics at New York University and a member of the Centre for Quantum Phenomena and Dr Gustav Teleberg, Cryogenics Product Specialist at Oxford Instruments
Near surface quantum wells with strong spin orbit coupling have attracted a great deal of interest since they can be interfaced epitaxially with superconducting films and have proved as a robust platform for exploring mesoscopic and topological superconductivity.
In this work, Dr Shabani uses an Oxford Instruments’ 12 Tesla TeslatronPT top loader superconducting magnet system to study transport properties of quantum wells, quantum Hall effect, Shubnikov de Haas mass measurements and spin orbit coupling in these two-dimensional gas systems.Watch Now: Transport properties of low dimensional semiconductors
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Teleportation and quantum communications Case Study
As part of the European Quantum Flagship QMiCS programme, Oxford Instruments is a key partner supporting the development of a quantum microwave local area network. This architecture will enable quantum communication protocols such as teleportation between two superconducting quantum nodes. This approach has future applications for distributed quantum computing and radar-style quantum sensing with microwaves.Find out more
There are many new challenges in Quantum Computing. It is anticipated there are a diverse range of applications particularly in previously unsolvable or lengthy computational problems. This is of particular importance for optimization, unstructured search, materials simulation and logistics.
We have the solution for your Quantum Application challenges in our Pathways page.Quantum Pathways Page