computer science

Gilles Brassard

Gilles Brassard is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Gilles Brassard rather than just read about it. In short: Gilles Brassard (born April 20, 1955) is a Canadian computer scientist. He is faculty member of the Université de Montréal, where he has been a Full Professor since 1988 and Canada Research Chair since 2001.

Key takeaways

Gilles Brassard belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Gilles Brassard to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Gilles Brassard from memory before moving on to harder problems.

Reference excerpt

Gilles Brassard (born April 20, 1955) is a Canadian computer scientist. He is faculty member of the Université de Montréal, where he has been a Full Professor since 1988 and Canada Research Chair since 2001. He shared the 2025 Turing Award with Charles H. Bennett for their work in quantum information science.

Early life and education Brassard was born on April 20, 1955 in Montreal, Quebec, Canada. He received a Ph.D. in Computer Science from Cornell University in 1979, working in the field of cryptography with John Hopcroft as his advisor.

Research Brassard is best known for his fundamental work in quantum cryptography, quantum teleportation, quantum entanglement distillation, quantum pseudo-telepathy, and the classical simulation of quantum entanglement. Some of these concepts have been implemented in the laboratory. In 1984, together with Charles H. Bennett, he invented the BB84 protocol for quantum cryptography. He later extended this work to include the Cascade error correction protocol, which performs efficient detection and correction of noise caused by eavesdropping on quantum cryptographic signals.

Awards and honours Brassard was the editor-in-chief of the Journal of Cryptology from 1991 to 1998. In 2000, he won the Prix Marie-Victorin, the highest scientific award of the government of Quebec. He was elected as a Fellow of the International Association for Cryptologic Research in 2006, the first Canadian to be so honored. In June 2010, he was awarded the Gerhard Herzberg Canada Gold Medal, Canada's highest scientific honour. Brassard was elected a Fellow of the Royal Society of Canada and the Royal Society of London (2013). His nomination reads: Gilles Brassard is one of the earliest pioneers of quantum information science in the world. His most celebrated breakthroughs are the invention of quantum cryptography and quantum teleportation, both universally recognized as fundamental cornerstones of the entire discipline. His other influential discoveries include privacy amplification, entanglement distillation, amplitude amplification and the first lower bound on the power of quantum computers. Through his visionary thinking and groundbreaking research, Professor Brassard has played a pivotal role in transforming the field of quantum information science from what was initially perceived to be merely a fringe pursuit into an area of vigorous and dynamic international activity. On December 30, 2013, the Governor-General of Canada, the Right Honourable David Johnston, announced that Gilles Brassard has been named as an Officer in the Order Of Canada. In 2018, he received the Wolf Prize in Physics and in 2019 the BBVA Foundation Frontiers of Knowledge Award in Basic Sciences. as well as the Micius Quantum Prize. In September 2022, Brassard was awarded the Breakthrough Prize in Fundamental Physics, the world's largest science prize. In 2023 he was awarded the Eduard Rhein Foundation Prize in Technology. In March 2026, Brassard was named, along with Charles Bennett, as recipient of the 2025 ACM Turing Award, for work on the foundations of quantum information science and secure communication and computing.

References

External links Gilles Brassard on INSPIRE-HEP

Illustrations

Worked examples

Example 1 — a first encounter with Gilles Brassard

Start with the simplest possible case. Write down what Gilles Brassard claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Gilles Brassard before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Gilles Brassard ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Gilles Brassard

In research: Gilles Brassard appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Gilles Brassard in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Gilles Brassard is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1955 births, Academics from Montreal, Canada Research Chairs, so understanding it makes those chapters shorter.
In everyday life: Look for Gilles Brassard outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Gilles Brassard in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Gilles Brassard means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Gilles Brassard out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Gilles Brassard in simple terms?

Why does Gilles Brassard matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Gilles Brassard?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Gilles Brassard.