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Quantum Technologies

Harness the non-classical features of quantum mechanics to perform tasks hard or impossible with conventional technologies and reach beyond the laboratory into industrial development.

Try Quantum Technologies:

Why should you join? Below is a testimony from one of our alumni:

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Here are more details about our Quantum Tech MSc programme in an and a virtual (with Q & A).

Apply Today!

For more information on ourMSc flexible 1 year full-time, 2 years part-time, course

Apply for Quantum Technologies MSc

Progress in quantum technologies is at an exciting stage. Applications that harness the non-classical features of quantum mechanics to perform tasks hard or impossible with conventional technologies are now reaching beyond the laboratory into industrial development. Some of these, such as quantum cryptography and communication have already arrived in the marketplace, while others – such as quantum computation – remain a significant technological challenge, but all have the potential to bring revolutionary advances compared to their classical counterparts.

At ʼһ, you will be taught by world-leading experts in quantum technologies and have access to extensive extra-curricular activities such as seminars and workshops in the topic. UCL has a dedicated center to Quantum Technologies, theUCLQ Quantum Science and Technology Institute.

Examples ofprojects we offer in our Quantum Tech MSc
  • Detecting material defects using an array of superconducting qubits     
  • Integrated Quantum Sources Based on Non-Linear Optics             
  • Quantum contextuality: mathematical structure and applications to quantum advantage       
  • Quantum algorithms for noisy networked quantum computers  
  • Quantum Computing for Network Optimisation      
  • Impact of repeater availability on the entanglement rate of multipartite states     
  • Impact of decoherence and noise in quantum networks   
  • Variational compiling to reduce noise in quantum computations     
  • Tuning quantum dot qubits using machine learning techniques             
  • Radio-frequency reflectometry for fast qubit state readout  
  • Developing a parametric amplifier for solid-state qubit readout   
  • Machine learning applications in Bohmian Mechanics    
  • Translating Tensor Network Algorithms to run on Quantum Computers       
  • Single Electron Dynamics for Quantum Sensing    
  • The 1/2 fractional quantum Hall state     
  • Interaction mediated fractional quantum states in one-dimensional electrons   
  • Towards Quantum Optomechanics: (a) cooling a macroscopic system to its quantum ground state And (b) Sensing the direction of an ultra weak force.     
  • Strong coupling quantum thermodynamics in biological systems      
  • Spin Orbit Interaction and Quantum Transport    
  • Electromagnetic Induction Imaging with Atomic Magnetometers       

The above list is non-exhaustive and it is also possible to contact a prospective supervisor and agree on a project that is not shown here.