195 citations · 512 across the 23 of their papers we have counts for
24 papers
Demonstration of a Structured Agentic Workflow for Applied Quantum Computing Research
Dikshant Dulal, Maxence Grandadam, Maciej Koch-Janusz +1
Quantum hardware advances now make it practical to explore quantum approaches to scientific problems. Applied quantum computing research sits at the intersection of domain knowledg…
Reducing quantum and classical resources for quantum-centric supercomputing workloads on near-term hardware
Maxence Grandadam, Vladyslav Bohun, Dikshant Dulal +1
Sample-based Krylov quantum diagonalization (SKQD) is a paradigmatic example of a quantum-centric supercomputing workflow that combines the convergence structure of Krylov quantum…
Quantum algorithm for the lattice Boltzmann method with applications on real quantum devices
Antonio Bastida-Zamora, Ljubomir Budinski, Oskari Kerppo +8
We introduce a novel quantum algorithm for the lattice Boltzmann method (LBM) based on the one-step simplified LBM. The structure of the algorithm allows for more flexibility in mo…
Quantum Hamiltonian simulation of linearised Euler equations in complex geometries
Vladyslav Bohun, Andrij Kuzmak, Maciej Koch-Janusz
Quantum computing promises exponential improvements in solving large systems of partial differential equations (PDE), which forms a bottleneck in high-resolution simulations of, am…
Computational access to lattice and long-wavelength physics in quantum mutual information
Patrick M. Lenggenhager, M. Michael Denner, Doruk Efe Gökmen +3
Quantum mutual information is an important tool for characterizing correlations in quantum many-body systems, but its numerical evaluation is often prohibitively expensive. While s…
Distributed Quantum Dynamics on Near-Term Quantum Processors
Vladyslav Bohun, Maxence Grandadam, Maciej Koch-Janusz
Simulations of quantum dynamics are a key application of near term quantum computing, but are hindered by the twin challenges of noise and small device scale, which limit the execu…
Entanglement scaling in matrix product state representation of smooth functions and their shallow quantum circuit approximations
Vladyslav Bohun, Illia Lukin, Mykola Luhanko +4
Encoding classical data in a quantum state is a key prerequisite of many quantum algorithms. Recently matrix product state (MPS) methods emerged as the most promising approach for…
Information theory for dimensionality reduction in dynamical systems
Matthew S. Schmitt, Maciej Koch-Janusz, Michel Fruchart +3
The dynamics of many-body systems can often be captured in terms of only a few relevant variables. Mathematical and numerical approaches exist to identify these variables by exploi…
Machine Learning the Operator Content of the Critical Self-Dual Ising-Higgs Gauge Model
Lior Oppenheim, Maciej Koch-Janusz, Snir Gazit +1
We study the critical properties of the Ising-Higgs gauge theory in along the self-dual line which have recently been a subject of debate. For the first time, using machin…
Compression theory for inhomogeneous systems
Doruk Efe Gökmen, Sounak Biswas, Sebastian D. Huber +3
The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods. Many of these systems…
Symmetries and phase diagrams with real-space mutual information neural estimation
Doruk Efe Gökmen, Zohar Ringel, Sebastian D. Huber +1
Real-space mutual information (RSMI) was shown to be an important quantity, formally and from a numerical standpoint, in finding coarse-grained descriptions of physical systems. It…
Statistical physics through the lens of real-space mutual information
Doruk Efe Gökmen, Zohar Ringel, Sebastian D. Huber +1
Identifying the relevant coarse-grained degrees of freedom in a complex physical system is a key stage in developing powerful effective theories in and out of equilibrium. The cele…
Relevance in the Renormalization Group and in Information Theory
Amit Gordon, Aditya Banerjee, Maciej Koch-Janusz +1
The analysis of complex physical systems hinges on the ability to extract the relevant degrees of freedom from among the many others. Though much hope is placed in machine learning…
Training Deep Neural Networks by optimizing over nonlocal paths in hyperparameter space
Vlad Pushkarov, Jonathan Efroni, Mykola Maksymenko +1
Hyperparameter optimization is both a practical issue and an interesting theoretical problem in training of deep architectures. Despite many recent advances the most commonly used…
An exactly soluble model for a fractionalized Weyl semimetal
Fabian Hotz, Apoorv Tiwari, Oguz Turker +4
We construct an exactly solvable lattice model of a fractional Weyl semimetal (FWS). The low energy theory of this strongly interacting state is that of a Weyl semimetal built out…
Optimal Renormalization Group Transformation from Information Theory
Patrick M. Lenggenhager, Doruk Efe Gökmen, Zohar Ringel +2
Recently a novel real-space RG algorithm was introduced, identifying the relevant degrees of freedom of a system by maximizing an information-theoretic quantity, the real-space mut…
Mutual Information, Neural Networks and the Renormalization Group
Maciej Koch-Janusz, Zohar Ringel
Physical systems differring in their microscopic details often display strikingly similar behaviour when probed at macroscopic scales. Those universal properties, largely determini…
Edge--Entanglement correspondence for gapped topological phases with symmetry
Maciej Koch-Janusz, Kusum Dhochak, Erez Berg
The correspondence between the edge theory and the entanglement spectrum is firmly established for the chiral topological phases. We study gapped, topologically ordered, non-chiral…
Two-dimensional Valence Bond Solid (AKLT) states from electrons
Maciej Koch-Janusz, D. I. Khomskii, Eran Sela
Two-dimensional AKLT model on a honeycomb lattice has been shown to be a universal resource for quantum computation. In this valence bond solid, however, the spin interactions invo…
Interacting and fractional topological insulators via the chiral anomaly
Maciej Koch-Janusz, Zohar Ringel
Recently it was shown that the topological properties of and topological insulators are captured by a chiral anomaly in the boundary field theory. It remai…
Exactly soluble lattice models for non-abelian states of matter in 2 dimensions
Maciej Koch-Janusz, Michael Levin, Ady Stern
Following an earlier construction of exactly soluble lattice models for abelian fractional topological insulators in two and three dimensions, we construct here an exactly soluble…
Exactly soluble models for fractional topological insulators in 2 and 3 dimensions
Michael Levin, F. J. Burnell, Maciej Koch-Janusz +1
We construct exactly soluble lattice models for fractionalized, time reversal invariant electronic insulators in 2 and 3 dimensions. The low energy physics of these models is exact…
Modern Feynman Diagrammatic One-Loop Calculations
Thomas Reiter, Gavin Cullen, Nicolas Greiner +14
In this talk we present techniques for calculating one-loop amplitudes for multi-leg processes using Feynman diagrammatic methods in a semi-algebraic context. Our approach combines…
spinney: A Form Library for Helicity Spinors
Gavin Cullen, Maciej Koch-Janusz, Thomas Reiter
In this work, the library spinney is presented, which provides an implementation of helicity spinors and related algorithms for the symbolical manipulation program Form. The packag…