astronomy

Ronald de Wolf

Ronald de Wolf is a astronomy 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 Ronald de Wolf rather than just read about it. In short: Ronald Michiel de Wolf (born 1973) is a Dutch Computer Scientist, currently a Senior Researcher at Centrum Wiskunde & Informatica (CWI) and a professor at the Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam (UvA). His research interests are on Quantum computing, Quantum information, Coding theory, and Computational complexity theory.

Key takeaways

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

Reference excerpt

Ronald Michiel de Wolf (born 1973) is a Dutch Computer Scientist, currently a Senior Researcher at Centrum Wiskunde & Informatica (CWI) and a professor at the Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam (UvA). His research interests are on Quantum computing, Quantum information, Coding theory, and Computational complexity theory. His scientific contributions include the first exponential separation between one-way quantum and classical communication protocols for a partial Boolean function, and a proof that a locally decodable code (LDC) with 2 classical queries need exponential length. This suggested the use of techniques from quantum computing to prove results in "classical" computer science. De Wolf and his coauthors received the Best Paper Award at the Annual ACM Symposium on Theory of Computing (STOC) in 2012. For the same article, they also received the 2022 STOC 10-year test of time award and the 2023 Gödel Prize.

Publications Ronald de Wolf publications indexed by Google Scholar List of publications on arXiv Buhrman, Harry; Cleve, Richard; Watrous, John; de Wolf, Ronald (2001). "Quantum fingerprinting". Physical Review Letters. 87 (16) 167902. arXiv:quant-ph/0102001. Bibcode:2001PhRvL..87p7902B. doi:10.1103/PhysRevLett.87.167902. PMID 11690244. S2CID 1096490. 167902. Nienhuys-Cheng, Shan-Hwei; de Wolf, Ronald (1997). Siekmann, J.; Carbonell, J. G. (eds.). Foundations of Inductive Logic Programming. Lecture Notes in Computer Science. Springer-Verlag New York, Inc. ISBN 978-3-540-62927-6. 1228.

References

Worked examples

Example 1 — a first encounter with Ronald de Wolf

Start with the simplest possible case. Write down what Ronald de Wolf claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Ronald de Wolf 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 Ronald de Wolf 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 Ronald de Wolf

In research: Ronald de Wolf appears in astronomy 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 Ronald de Wolf 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: Ronald de Wolf is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1973 births, Academic staff of the University of Amsterdam, Computer scientist stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Ronald de Wolf 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 Ronald de Wolf in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Ronald de Wolf 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 Ronald de Wolf out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ronald de Wolf in simple terms?

Why does Ronald de Wolf matter?

Because it connects several astronomy 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 Ronald de Wolf?

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 Ronald de Wolf.