EPSRC logo

Details of Grant 

EPSRC Reference: EP/L020963/1
Title: Towards quantum control of topological phases in mesoscopic superconductors
Principal Investigator: Connolly, Dr MR
Other Investigators:
Researcher Co-Investigators:
Project Partners:
National Physical Laboratory
Department: Physics
Organisation: University of Cambridge
Scheme: EPSRC Fellowship
Starts: 01 July 2014 Ends: 01 January 2019 Value (£): 913,172
EPSRC Research Topic Classifications:
Condensed Matter Physics
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
11 Mar 2014 EPSRC Physical Sciences Fellowships Interview Panel 11th and 12th March 2014 Announced
05 Feb 2014 EPSRC Physical Sciences Physics - February 2014 Announced
Summary on Grant Application Form
Technologies which operate using quantum superposition and entanglement are set to revolutionise how the world stores, processes, and communicates information. A quantum computer is expected to improve the efficiency of cloud computing by calculating the optimal way to distribute computational tasks amongst classical computers. In materials science, the evolution of chemical reactions is also more efficiently simulated by a quantum computer so they are thus likely to aid developments in synthetic chemistry, where understanding the behaviour of large molecules will lead to smarter power-saving materials. Quantum simulators will also elucidate the role of quantum effects in biological processes related to energy harvesting such as photosynthesis, and inform the design of materials with exotic power-saving capabilities such as a high-temperature superconductivity. The ability for quantum computers to factor in polynomial time could also have an enormous impact on internet security, which currently relies on the near impossibility of factoring large numbers.

At the heart of quantum computers are building blocks known as quantum bits, or "qubits", which physically comprise two states that can be manipulated into any quantum superposition. One of the challenges we face with building a quantum computer is preventing the environment from killing these fragile superpositions through intractable and unintentional interactions. Most qubits are based on familiar particles, such as electrons in a quantum dot, ions in an atom trap, or photons in a waveguide, and it is unclear what the ultimate limit will be in the race to optimise their performance. An alternative and elegant approach to this problem is to find a qubit that is intrinsically protected from interacting with the environment. One such qubit employs exotic particles, known as anyons, that can encode the state of a qubit non-locally. Weak interactions with the environment can never collapse its state, making it more robust as a quantum memory.

The aim of this research is to pave the way towards quantum control of such qubits by developing devices and techniques for observing anyons that emerge from the collective motion of electrons in a two-dimensional gas in contact with a superconductor. Quite remarkably, particles with very similar properties are already available, though not yet detected, in a material as simple and famous as graphene. My strategy is to expose the presence of these particles by monitoring how single electrons interact with them in nanodevices. In the longer term I anticipate materials with stricter topological protection to be come available, and my aspiration is to use the techniques developed here to store, manipulate, and read out decoherence-free quantum information.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.cam.ac.uk