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astronomy

Richard Cleve

Richard Cleve 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 Richard Cleve rather than just read about it. In short: Richard Erwin Cleve is a Canadian professor of computer science at the David R. Cheriton School of Computer Science at the University of Waterloo, where he holds the Institute for Quantum Computing Chair in quantum computing, and an associate member of the Perimeter Institute for Theoretical Physics.

Key takeaways

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

Reference excerpt

Richard Erwin Cleve is a Canadian professor of computer science at the David R. Cheriton School of Computer Science at the University of Waterloo, where he holds the Institute for Quantum Computing Chair in quantum computing, and an associate member of the Perimeter Institute for Theoretical Physics.

Education He obtained his BMath and MMath from the University of Waterloo, and his Ph.D. in 1989 at the University of Toronto under the supervision of Charles Rackoff.

Research He was the recipient of the 2008 CAP-CRM Prize in Theoretical and Mathematical Physics, awarded for "fundamental results in quantum information theory, including the structure of quantum algorithms and the foundations of quantum communication complexity." He has authored several highly cited papers in quantum information, and is one of the creators of the field of quantum communication complexity. He is also one of the founding managing editors of the journal Quantum Information & Computation, a founding fellow of the Quantum Information Processing program at the Canadian Institute for Advanced Research, and a Team Leader at QuantumWorks.

References

Worked examples

Example 1 — a first encounter with Richard Cleve

Start with the simplest possible case. Write down what Richard Cleve 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 Richard Cleve 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 Richard Cleve 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 Richard Cleve

In research
Richard Cleve 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 Richard Cleve 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
Richard Cleve is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of the University of Waterloo, Canadian scientist stubs, Canadian theoretical computer scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Richard Cleve 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 Richard Cleve in 20 minutes

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

Frequently asked questions

What is Richard Cleve in simple terms?

Richard Erwin Cleve is a Canadian professor of computer science at the David R. Cheriton School of Computer Science at the University of Waterloo, where he holds the Institute for Quantum Computing Chair in quantum computing, and an associate member of the Perimeter Institute for Theoretical Physic…

Why does Richard Cleve 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 Richard Cleve?

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 Richard Cleve.

Tags

  • Academic staff of the University of Waterloo
  • Canadian scientist stubs
  • Canadian theoretical computer scientists
  • Living people
  • Quantum information scientists
  • University of Toronto alumni
  • University of Waterloo alumni

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