TechGirl Masterclass: Quantum computing

Quantum computing Masterclass: Summary

Quantum computing often sounds intimidating, but our recent TechGirl Quantum Computing Masterclass framed this topic in an approachable and practical manner.

Three experts—Ellen Devereux, Rui Rui Xie, and Hala Hawashin—used clear analogies to explain concepts such as superposition and entanglement, and showed how quantum technology is already shaping fields like medicine, navigation, and materials science.

They explored how quantum connects with AI, addressed common fears about encryption, and emphasised that people from a wide range of backgrounds can build careers in this space. The biggest takeaway: quantum is not just a far-off theory, but a growing ecosystem with real-world impact and opportunities.

Introduction

Quantum computing is often described as futuristic and abstract, but three leaders showed that it can be explained in ways that feel intuitive and exciting. Through simple metaphors and real-world examples, they broke down the fundamentals, discussed what the technology can and cannot do, and shared where it is realistically heading. This article highlights the key insights from their conversation.

Meet the speakers

Ellen Devereux — Quantum Computing Consultant at Fujitsu and PhD candidate in quantum algorithms
Rui Rui Xie — Physics master’s student at University College London, specialising in quantum sensing
Hala Hawashin — Quantum and AI researcher at Exponential Science

Together, they showed how broad and collaborative the quantum landscape has become.

Core quantum ideas 

The panel emphasised that quantum computing is not “mysterious,” it simply follows different rules. Classical computers work with bits that are either 0 or 1. Quantum computers use qubits, which can be 0, 1, or both at the same time through superposition.

Hala offered a helpful comparison: if classical computers paint only in black and white, quantum computers paint in shades of grey. More shades mean more detail, just as qubits allow richer ways of handling information.

Entanglement and working with classical computers

Entanglement means that two qubits can become linked so that measuring one gives you information about the other, even when they are far apart. Rui Rui explained this using a glove analogy: if you find a right glove in your bag, you instantly know the left glove is somewhere else.

The speakers also cleared up a major misconception: quantum computers will not replace classical computers. Instead, they will work alongside them. Classical machines will still run everyday tasks, while quantum systems will help with extremely complex problems like molecular simulations, large-scale optimisation, and advanced material modelling.

Real-world industry impact

People will not have quantum laptops anytime soon, but industries will benefit much earlier. For example:

• Faster and more accurate drug discovery through molecular simulation
• Financial optimisation for complex portfolios
• New battery and material designs driven by quantum modelling

These changes will not show up as obvious “quantum products,” but people will feel the benefits through better technology and services.

Quantum sensing: Real impact today

Quantum sensing is already practical and in use. Rui Rui described how quantum sensors are used for navigation, geological mapping, and ultra-precise measurements.

Ellen shared a powerful example: a helmet-sized quantum brain scanner for children with epilepsy. Unlike traditional MRI machines, this device allows movement and is already being used in UK hospitals, showing that quantum tech is not just theoretical.

Quantum and AI

Hala explained that quantum and AI are developing together. Today, AI helps stabilise and improve quantum hardware. In the future, quantum computers could assist with certain machine-learning problems, especially complex optimisation tasks. The most realistic future is a hybrid model where classical computing, AI, and quantum systems work side by side.

Security, careers, and the road ahead

Many people worry that quantum computers will break modern encryption. The panel clarified that this is not an immediate danger. Current machines are far from powerful enough, and researchers are already developing post-quantum cryptography to prepare. The risk is real, but it is long-term, and the industry is planning ahead.

One of the most inspiring messages was that quantum needs more than physicists. The field also needs:

• Marketers
• Designers
• Writers and communicators
• Project managers
• Business strategists

Curiosity and willingness to learn are equally as important as having a physics degree. Tools like Qiskit, Braket, and university programs make it easier for beginners to start exploring.

Quantum is not a closed or distant world. It is growing quickly, already impacting real industries, and welcoming people from many different disciplines. It is not about replacing what we have, it is about expanding what’s possible.