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Events – Upcoming
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...
12:00pm|Zoom and Peyton Dome Rm, Princeton University
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
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...
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...
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
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.
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).
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:
- 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.
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.
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