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Events – Upcoming

Feb
02
2026

IAS CMP/QFT Group Meeting

Classifying 2D Gapped Phases on the Lattice, Up to Invertible Phases
Daniel Ranard
11:00am|Bloomberg Lecture Hall (IAS)

Abstract: We often say two gapped lattice Hamiltonians are in the same topological phase if they are connected by a path of gapped Hamiltonians. For 2D spin systems, it is conjectured that each phase is uniquely specified by the modular tensor...

Feb
02
2026

IAS Phenomenology Lunch and Meet

Information Discussions on Phenomenology and New Theories beyond the Standard Model
12:30pm|Bloomberg Hall Biology Conference Room (1st Floor, Room 113)

This semester, we will be beginning a *very informal* get-together every Monday of people interested in/working on phenomenology and new theories beyond the standard model.  The idea is to discuss over lunch, perhaps meet up around 12.20, grab lunch...

Events - Previous

Jan
29
2026

Computer Science/Discrete Mathematics Seminar I

Direct Product Testers and PCPs from Coset Complexes
Noah Singer
11:00am|Simonyi Hall 101 and Remote Access

Direct-product testers” are used in the design of (some) probabilistically checkable proofs (PCPs), which, in turn, play a fundamental role in modern complexity theory and cryptography. We investigate the direct-product testability of certain...

Jan
27
2026

Computer Science/Discrete Mathematics Seminar II

The Orthogonal Vectors Conjecture and Nonuniform Circuit Lower Bounds
10:30am|Simonyi 101 and Remote Access

A line of work has shown how nontrivial uniform algorithms for analyzing circuits can be used to derive nonuniform circuit lower bounds. In this talk, I will show in depth how the nonexistence of nontrivial circuit-analysis algorithms can also imply...

Jan
20
2026

Computer Science/Discrete Mathematics Seminar II

Improving Algorithmic Efficiency Using Cryptography
Or Zamir
11:30am|Simonyi 101 and Remote Access

Cryptographic primitives have been used for various non-cryptographic objectives, such as eliminating or reducing randomness and interaction. We show how to use cryptography to improve the time complexity of solving computational problems...

Upcoming Talk

Disjoint Pairs in Set Systems and the Combinatorics of Low-Rank Matrices

Speaker: Benjamin Sudakov, ETH Zürich
When: Monday, February 2, 2026 | 11:00 AM EST
Where: Simonyi Hall 101 and Remote Access

Abstract

In this talk, I will discuss the solution to several problems in two closely related settings: set families in 2^[n] with many disjoint pairs, and low-rank matrices with many zero entries.

Highlights include a resolution of an old question of Daykin and Erdős on the maximum number of disjoint set pairs, a proof of a conjecture by Singer and Sudan motivated by the log-rank conjecture in communication complexity, and tight bounds for a problem posed by Alon, Gilboa, and Gueron related to a long-standing question in coding theory about cover-free families.

Our proofs use probabilistic, entropy, and discrepancy methods, revealing connections to additive combinatorics and coding theory.

Joint with Z. Hunter, A. Milojević and I. Tomon.

Add to calendar 02/02/2026 11:0002/02/2026 12:00America/New_YorkComputer Science/Discrete Mathematics Seminar Iuse-titleTopic: Disjoint Pairs in Set Systems and the Combinatorics of Low-Rank Matrices Speakers: Benjamin Sudakov, ETH Zürich More: https://www.ias.edu/math/events/computer-sciencediscrete-mathematics-seminar-i-613 In this talk, I will discuss the solution to several problems in two closely related settings: set families in 2^[n] with many disjoint pairs, and low-rank matrices with many zero entries. Highlights include a resolution of an old question of Daykin and Erdős on the maximum number of disjoint set pairs, a proof of a conjecture by Singer and Sudan motivated by the log-rank conjecture in communication complexity, and tight bounds for a problem posed by Alon, Gilboa, and Gueron related to a long-standing question in coding theory about cover-free families. Our proofs use probabilistic, entropy, and discrepancy methods, revealing connections to additive combinatorics and coding theory. Joint with Z. Hunter, A. Milojević and I. Tomon. Simonyi Hall 101 and Remote Accessa7a99c3d46944b65a08073518d638c23

Upcoming Schedule

Tuesday, Feb 03, 2026 | 10:30am
Parikshit Gopalan, Apple
The Communication Complexity of Distributed Estimation
Abstract

We propose an extension of Yao's standard two-party communication model, where Alice and Bob respectively hold probability distributions p and q over inputs to a function f, rather than singleton inputs. Their goal is to estimate E[f(x,y)] to within additive error eps where x is drawn from p and y is drawn (independently) from q. We refer to this as the distributed estimation problem for f. We motivate this problem by showing that communication problems that have been studied in sketching, databases and learning are instantiations of distributed estimation for various functions f. Our goal is to understand how the required communication scales with the communication complexity of f and the error parameter eps. 

The naive sampling protocol achieves communication that scales as O(1/eps^2). We design a new debiasing protocol for arbitrary bounded functions that requires communication only linear in 1/\eps, and gives better variance reduction than random sampling. We develop a novel spectral technique to show lower bounds for distributed estimation, and use it to show that the Equality function is the easiest full rank Boolean function for distributed estimation. This technique yields tight lower bounds for most functions, with set-disjointness being the notable exception. 

Based on joint work with Raghu Meka (UCLA), Prasad Raghavendra (UC Berkeley), Mihir Singhal (UC Berkeley) and Avi Wigderson (IAS).  

 

Add to calendar Tuesday, 2026-02-03 10:30Tuesday, 2026-02-03 12:30America/New_YorkComputer Science/Discrete Mathematics Seminar IIuse-titleTopic: The Communication Complexity of Distributed Estimation Speakers: Parikshit Gopalan, Apple More: https://www.ias.edu/math/events/computer-sciencediscrete-mathematics-seminar-ii-607 We propose an extension of Yao's standard two-party communication model, where Alice and Bob respectively hold probability distributions p and q over inputs to a function f, rather than singleton inputs. Their goal is to estimate E[f(x,y)] to within additive error eps where x is drawn from p and y is drawn (independently) from q. We refer to this as the distributed estimation problem for f. We motivate this problem by showing that communication problems that have been studied in sketching, databases and learning are instantiations of distributed estimation for various functions f. Our goal is to understand how the required communication scales with the communication complexity of f and the error parameter eps.  The naive sampling protocol achieves communication that scales as O(1/eps^2). We design a new debiasing protocol for arbitrary bounded functions that requires communication only linear in 1/\eps, and gives better variance reduction than random sampling. We develop a novel spectral technique to show lower bounds for distributed estimation, and use it to show that the Equality function is the easiest full rank Boolean function for distributed estimation. This technique yields tight lower bounds for most functions, with set-disjointness being the notable exception.  Based on joint work with Raghu Meka (UCLA), Prasad Raghavendra (UC Berkeley), Mihir Singhal (UC Berkeley) and Avi Wigderson (IAS).     Simonyi 101 and Remote Accessa7a99c3d46944b65a08073518d638c23
Monday, Feb 09, 2026 | 11:00am
Ilya Volkovich, Boston College
Upper and Lower Bounds for the Linear Ordering Principle
Abstract

The Linear Ordering Principle (LOP) is a total search problem that generalizes the task of finding the minimum element of a given order to settings in which the order need not be total. Building on this, Korten and Pitassi (FOCS 2024) introduced the complexity class $L_2P$ as the polynomial-time Turing closure of LOP. They also showed that $L_2P$ lies between $MA$ (Merlin–Arthur protocols) and $S_2P$ (the second symmetric level of the polynomial hierarchy).

In this work, we establish tighter upper and lower bounds for $L_2P$ by sandwiching it between $P^{prMA}$ and $P^{prSBP}$. Here, the oracles are promise problems, and $SBP$ is the only currently known natural complexity class that lies between $MA$ and $AM$. The containment $L_2P \subseteq P^{prSBP}$ is obtained via an iterative procedure that uses a $prSBP$ oracle to estimate the average order rank of a subset and to identify the minimum element of a linear order. This technique may be of independent interest.

These containment results yield several consequences: 

  1. We answer affirmatively an open question posed by Chakaravarthy and Roy (Computational Complexity, 2011) on whether $P^{prMA} \subseteq S_2P$, thereby settling the relative standing of previously existing Karp–Lipton–style collapse results.
  2. We resolve an open question of Korten and Pitassi whether a Karp–Lipton–style collapse can be established for $L_2P$.

Based on a joint work with Edward Hirsch.

Add to calendar Monday, 2026-02-09 11:00Monday, 2026-02-09 12:00America/New_YorkComputer Science/Discrete Mathematics Seminar Iuse-titleTopic: Upper and Lower Bounds for the Linear Ordering Principle Speakers: Ilya Volkovich, Boston College More: https://www.ias.edu/math/events/computer-sciencediscrete-mathematics-seminar-i-614 The Linear Ordering Principle (LOP) is a total search problem that generalizes the task of finding the minimum element of a given order to settings in which the order need not be total. Building on this, Korten and Pitassi (FOCS 2024) introduced the complexity class $L_2P$ as the polynomial-time Turing closure of LOP. They also showed that $L_2P$ lies between $MA$ (Merlin–Arthur protocols) and $S_2P$ (the second symmetric level of the polynomial hierarchy). In this work, we establish tighter upper and lower bounds for $L_2P$ by sandwiching it between $P^{prMA}$ and $P^{prSBP}$. Here, the oracles are promise problems, and $SBP$ is the only currently known natural complexity class that lies between $MA$ and $AM$. The containment $L_2P \subseteq P^{prSBP}$ is obtained via an iterative procedure that uses a $prSBP$ oracle to estimate the average order rank of a subset and to identify the minimum element of a linear order. This technique may be of independent interest. These containment results yield several consequences:  * We answer affirmatively an open question posed by Chakaravarthy and Roy (Computational Complexity, 2011) on whether $P^{prMA} \subseteq S_2P$, thereby settling the relative standing of previously existing Karp–Lipton–style collapse results. * We resolve an open question of Korten and Pitassi whether a Karp–Lipton–style collapse can be established for $L_2P$. Based on a joint work with Edward Hirsch. Simonyi Hall 101 and Remote Accessa7a99c3d46944b65a08073518d638c23
Tuesday, Feb 10, 2026 | 10:30am
Jeongwan Haah, Stanford University
A Complexity Lower Bound on Algebra Isomorphisms
Abstract

Two vector spaces of the same finite dimension are related by a linear isomorphism; that’s how the dimension is defined. Similarly, two simple subalgebras over complex numbers that are closed under conjugate transpose are related by a unitary conjugation whenever their dimensions are the same. On a many-qubit system, the unitary isomorphism can be written as a unitary quantum circuit, of which we ask about the complexity. For example, a simple lightcone argument proves that the algebra of all logical operators of any nontrivial quantum error correcting code is isomorphic to that of unencoded qubits by a deep unitary circuit. Essentially, this has been the only explicit (rather than random) example pair of isomorphic simple subalgebras where the isomorphism complexity lower bound is proved. Here, we report another kind of an explicit simple subalgebra on a two-dimensional grid of 2n qubits, isomorphic to the algebra of all operators on n qubits, where any geometrically local unitary circuit realizing any such isomorphism must have depth linear in the grid’s diameter.

Add to calendar Tuesday, 2026-02-10 10:30Tuesday, 2026-02-10 12:30America/New_YorkComputer Science/Discrete Mathematics Seminar IIuse-titleTopic: A Complexity Lower Bound on Algebra Isomorphisms Speakers: Jeongwan Haah, Stanford University More: https://www.ias.edu/math/events/computer-sciencediscrete-mathematics-seminar-ii-611 Two vector spaces of the same finite dimension are related by a linear isomorphism; that’s how the dimension is defined. Similarly, two simple subalgebras over complex numbers that are closed under conjugate transpose are related by a unitary conjugation whenever their dimensions are the same. On a many-qubit system, the unitary isomorphism can be written as a unitary quantum circuit, of which we ask about the complexity. For example, a simple lightcone argument proves that the algebra of all logical operators of any nontrivial quantum error correcting code is isomorphic to that of unencoded qubits by a deep unitary circuit. Essentially, this has been the only explicit (rather than random) example pair of isomorphic simple subalgebras where the isomorphism complexity lower bound is proved. Here, we report another kind of an explicit simple subalgebra on a two-dimensional grid of 2n qubits, isomorphic to the algebra of all operators on n qubits, where any geometrically local unitary circuit realizing any such isomorphism must have depth linear in the grid’s diameter. Simonyi 101 and Remote Accessa7a99c3d46944b65a08073518d638c23

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