computer science

Patrick Hayden (scientist)

Patrick Hayden (scientist) 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 Patrick Hayden (scientist) rather than just read about it. In short: Patrick Hayden is a physicist and computer scientist active in the fields of quantum information theory and quantum computing. He is currently a professor in the Stanford University physics department and a distinguished research chair at the Perimeter Institute for Theoretical Physics.

Key takeaways

Patrick Hayden (scientist) 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 Patrick Hayden (scientist) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Patrick Hayden (scientist) from memory before moving on to harder problems.

Reference excerpt

Patrick Hayden is a physicist and computer scientist active in the fields of quantum information theory and quantum computing. He is currently a professor in the Stanford University physics department and a distinguished research chair at the Perimeter Institute for Theoretical Physics. Prior to that he held a Canada Research Chair in the physics of information at McGill University. He received a B.Sc. (1998) from McGill University and won a Rhodes Scholarship to study for a D.Phil. (2001) at the University of Oxford under the supervision of Artur Ekert. In 2007 he was awarded the Sloan Research Fellowship in Computer Science. He was a Canadian Mathematical Society Public Lecturer in 2008 and received a Simons Investigator Award in 2014. Since 2015 he has been the director of the It from Qubit: Simons Collaboration on Quantum Fields, Gravity and Information. Hayden has contributed substantially to quantum information theory. His contributions range from quantum information approaches to the theory of black holes to the study of quantum entanglement. Hayden and John Preskill considered information retrieval from evaporating black holes. Their study of a black hole's retention time for quantum information before it is revealed in the Hawking radiation; called the Hayden-Preskill thought experiment, turned out to be compatible with the black hole complementarity hypothesis.

References

http://www.perimeterinstitute.ca/people/distinguished-visiting-research-chair

External links https://sitp.stanford.edu/people/patrick-hayden http://www.stanford.edu/~phayden/ Patrick Hayden, Curriculum vitae at the Wayback Machine (archived January 31, 2017)

Worked examples

Example 1 — a first encounter with Patrick Hayden (scientist)

Start with the simplest possible case. Write down what Patrick Hayden (scientist) 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 Patrick Hayden (scientist) 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 Patrick Hayden (scientist) 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 Patrick Hayden (scientist)

In research: Patrick Hayden (scientist) 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 Patrick Hayden (scientist) 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: Patrick Hayden (scientist) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Alumni of Balliol College, Oxford, Canada Research Chairs, Canadian Rhodes Scholars, so understanding it makes those chapters shorter.
In everyday life: Look for Patrick Hayden (scientist) 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 Patrick Hayden (scientist) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Patrick Hayden (scientist) 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 Patrick Hayden (scientist) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Patrick Hayden (scientist) in simple terms?

Why does Patrick Hayden (scientist) 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 Patrick Hayden (scientist)?

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 Patrick Hayden (scientist).