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Gil Kalai

Gil Kalai is a mathematics 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 Gil Kalai rather than just read about it. In short: Gil Kalai (Hebrew: גיל קלעי; born 1955) is an Israeli mathematician and computer scientist. He is the Henry and Manya Noskwith Professor Emeritus of Mathematics at the Hebrew University of Jerusalem, professor of computer science at the Interdisciplinary Center, Herzliya, and adjunct professor of mathematics and of computer science at Yale University, United States.

Gil Kalai — main illustration
Gil Kalai — illustration

Key takeaways

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

Reference excerpt

Gil Kalai (Hebrew: גיל קלעי; born 1955) is an Israeli mathematician and computer scientist. He is the Henry and Manya Noskwith Professor Emeritus of Mathematics at the Hebrew University of Jerusalem, professor of computer science at the Interdisciplinary Center, Herzliya, and adjunct professor of mathematics and of computer science at Yale University, United States.

Biography Kalai was born in 1955 in Tel Aviv. He received his PhD from Hebrew University in 1983 advised by Micha Perles, and held a postdoctoral position at the Massachusetts Institute of Technology. He joined the Hebrew University faculty in 1985, where he has remained since. From 1995 to 2001, he was the editor-in-chief of the Israel Journal of Mathematics. In 2016, he was elected honorary member of the Hungarian Academy of Sciences. In 2018 he was a plenary speaker with talk Noise Stability, Noise Sensitivity and the Quantum Computer Puzzle at the International Congress of Mathematicians in Rio de Janeiro.

Research Kalai is known for finding variants of the simplex algorithm in linear programming that can be proven to run in subexponential time, for showing that every monotone property of graphs has a sharp phase transition, for solving Borsuk's problem on the number of pieces needed to partition convex sets into subsets of smaller diameter, and for his work on the Hirsch conjecture on the diameter of convex polytopes and in polyhedral combinatorics more generally.

Quantum computing skepticism and conjectures Kalai is a noted skeptic of quantum computing and argues that true quantum computing, which would give exponential speedups over classical computing, cannot be achieved because of inherent limitations when trying to implement quantum error correction experimentally. He has engaged in a series of public debates with quantum computing researcher Aram Harrow on his blog, and has formalized his argument by stating a series of conjectures. Harrow and Steven Flammia published a preprint on arXiv in 2012 claiming to refute Kalai's Conjecture C, although Kalai later argued in 2022 that there were flaws in their argument. In 2025, Kalai publicly debated quantum computing researcher Matthias Christandl at the Learned Society of the Czech Republic on whether true quantum computing had already been achieved. Kalai's conjectures are stated as follows: Conjecture 1 (No quantum error correction). The process for creating a quantum error-correcting code will necessarily lead to a mixture of the desired codewords with undesired codewords. The probability of the undesired codewords is uniformly bounded away from zero. (In every implementation of quantum error-correcting codes with one encoded qubit, the probability of not getting the intended qubit is at least some δ > 0, independently of the number of qubits used for encoding.) Conjecture 2. A noisy quantum computer is subject to noise in which information leaks for two substantially entangled qubits have a substantial positive correlation. Conjecture 3. In any quantum computer at a highly entangled state there will be a strong effect of error-synchronization. Conjecture 4. Noisy quantum processes are subject to detrimental noise.

Recognition Kalai was the recipient of the Pólya Prize in 1992, the Erdős Prize of the Israel Mathematical Society in 1993, and the Fulkerson Prize in 1994. He was also the winner of the 2012 Rothschild Prize in mathematics. He was named to the 2023 class of Fellows of the American Mathematical Society, "for contributions to combinatorics, convexity, and their applications, as well as to the exposition and communication of mathematics".

See also Kalai's 3d conjecture Entropy influence conjecture

References

External links

Kalai's home page at Hebrew University Combinatorics and more, Kalai's blog "Noise stability, noise sensitivity and the quantum computer puzzle – Gil Kalai – ICM2018". YouTube. 19 September 2018. (Plenary Lecture 19)

Illustrations

Gil Kalai illustration

Worked examples

Example 1 — a first encounter with Gil Kalai

Start with the simplest possible case. Write down what Gil Kalai claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Gil Kalai 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 Gil Kalai 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 Gil Kalai

In research
Gil Kalai appears in mathematics 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 Gil Kalai 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
Gil Kalai is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1955 births, 20th-century Israeli mathematicians, 21st-century Israeli mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Gil Kalai 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 Gil Kalai in 20 minutes

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

Frequently asked questions

What is Gil Kalai in simple terms?

Gil Kalai (Hebrew: גיל קלעי; born 1955) is an Israeli mathematician and computer scientist. He is the Henry and Manya Noskwith Professor Emeritus of Mathematics at the Hebrew University of Jerusalem, professor of computer science at the Interdisciplinary Center, Herzliya, and adjunct professor of m…

Why does Gil Kalai matter?

Because it connects several mathematics 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 Gil Kalai?

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 Gil Kalai.

Tags

  • 1955 births
  • 20th-century Israeli mathematicians
  • 21st-century Israeli mathematicians
  • 21st-century science writers
  • Academic staff of the Hebrew University of Jerusalem
  • Combinatorialists
  • Einstein Institute of Mathematics alumni
  • Erdős Prize recipients
  • Fellows of the American Mathematical Society
  • Living people
  • Science bloggers
  • Yale University faculty

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