skip to primary navigation skip to content

Quantum Information Processing

Hitachi Cambridge Laboratory

Commercial CMOS used for spin qubits (left). Dispersive detection of Landau-Zener-Stückelberg-Majorana interferences (centre). Weak anti-localisation and coherence length in a topological insulator device (right).


    Applications of quantum mechanics in computer science, better known as quantum computing or quantum information, has been an active research area for many years. The first ideas have developed after the seminal work of Feymann [1, 2] and Benioff [3] who suggested the use of quantum mechanics systems to build computers which may perform calculations which are extremely time consuming or impossible to realise on classical computers. In this case, the analogue of the classical "bits" that store information are "quantum bits" or "qubits". Examples of such calculations are factorising large integers for cryptographic applications [4], fast searching in large databases [5] along with simulation and modeling of quantum systems. Even if a significant progress has been made towards the implementation of quantum operations, practical use of qubits still have to be implemented. In the past decades, several architectures have been proposed as platforms for quantum computation, most using an optical or a solid-state approach. Some of these realisations have been particularly successful, such as superconductor-based qubits with Josephson junctions, trapped ions or coherent photon states. This is primarily due to the choice of the material, the ability to perform fast measurements as well as the simplicity of the system. However, a practical implementation for circuit applications requires high fidelity results, a good scalability, and preferably a high compatibility with existing manufacturing techniques. This has driven several proposals attempting to use silicon as the basis for qubit realization, because of its compatibility with current fabrication methods (an example is the well-known Kane proposal for quantum computation [6]).


    Research at Hitachi Cambridge Laboratory focuses on both experimental and theoretical studies of spin qubits using surface states of topological insulators, as well as corner states in silicon nano-FETs.


References :

  1. R. P. Feynman, Int. J. Theoretical Phys. 21, 467 (1982) Simulating Physics with computers
  2. R. P. Feynman, Optics News, 11 (1985) Quantum Mechanical Computers
  3. P. Benioff, Phys. Rev. Lett. 48, 1581 (1982), Quantum mechanical models of Turing-machines that dissipate no energy
  4. P. W. Shor, Proceedings of the 35th Annual Symposium on Foundations of Computer Science, IEEE Computer Science Press, 124 (1994) Algorithms for Quantum Computation : Discrete log and factoring
  5. L. K. Grover, Phys. Rev. Lett 79, 325 (1997) Quantum mechanics helps in searching for a needle in a haystack
  6. B. E. Kane, Nature 393, 133 (1998) A silicon-based nuclear spin quantum computer


Related Staff :

Latest News

A new method for imaging and writing magnetic domains

November 2019

Article published in Nature Communications

Polaron spin dynamics

June 2019

Article published in Nature Physics

Quantum devices read by a dynamic random access architecture

June 2019

Article published in Nature Electronics

An observation of μm long spin diffusion length in organic polymers

May 2019

Article published in Nature Electronics

Single shot readout of electron spins

March 2019

Article published in Nature Nanotechnology

Reversal of the Neel vector in antiferromagnet observed

November 2018

Article published in Nature Communications

Hitachi Cambridge Laboratory on Youtube

August 2018

A presentation of activities from japanese company in the UK

View all news

You can meet us at one of these conferences.

Read more