Articles - www.nqcc.ac.uk

Hackathon offers glimpse of quantum potential

The UK’s second quantum hackathon challenged ten teams of early-career researchers, industry mentors and hardware specialists to create quantum solutions to real-world problems in just two days

New horizons beckon for UK quantum computing

A dedicated Quantum Software Lab has been launched at the University of Edinburgh’s School of Informatics to work alongside the NQCC.

Collaboration provides catalyst for quantum acceleration

Scaling up quantum computing technologies will require engineering know-how as well as collaboration between the academic and commercial sectors.

SparQ to fire up quantum readiness in the UK

NQCC’s Applications Discovery Programme SparQ aims to reach out to a wide spectrum of audiences, in preparation of quantum’s ultimate arrival.

Early adopters position themselves for quantum advantage

Early adopters stand to gain expertise in quantum computing, allowing them to prepare their organisations for exploiting its potential ahead of more widespread adoption.

Quantum hackers tackle real-world problems

The NQCC organised a quantum computing hackathon aimed at exploration and awareness-raising for the current capabilities as well as at nurturing the talent pipeline.

Building a quantum future

The NQCC aims to create a collaborative working environment for building prototype quantum machines and developing innovative applications.

Industry engagement prepares UK for quantum transformation

The NQCC aims to make connections between academics, start-ups and industrial end users to identify and develop innovative applications for quantum computing.

Start-up innovation drives UK’s emerging quantum economy

The UK’s quantum computing ecosystem is gathering momentum, with early-stage companies attracting significant investor funding to build the quantum computers.

Driving the UK towards its quantum-ready ambition (page 130-131)

Quantum computing and AI are viewed as transformational technologies. Quantum computing is expected to accelerate tasks for AI, helping to support its further development.