63 citations · 377 across the 33 of their papers we have counts for
35 papers
Kitaev-Heisenberg model on the square-hexagon-dodecagon lattice
Saeed Barari, Yasir Iqbal, Ganapathy Baskaran +3
We study the spin- Kitaev-Heisenberg model on the square-hexagon-dodecagon lattice with a symmetry-preserving tri-coloring of the Kitaev exchanges. We focus on two cases: (i)…
Scarred discrete time crystal in a periodically driven dimerized spin chain
Davood Marripour, Saeed S. Jahromi, Jahanfar Abouie
We investigate the emergence of a scarred discrete time crystal (SDTC) phase in a periodically driven dimerized spin chain. While generic interacting Floquet systems are expected t…
Quantum Advantage: a Tensor Network Perspective
Augustine Kshetrimayum, Saeed S. Jahromi, Sukhbinder Singh +1
We review the recent quantum advantage experiments by IBM, D-Wave, and Google, focusing on cases where efficient classical simulations of the experiment were demonstrated or attemp…
Quantum phase diagram of the spin- Heisenberg antiferromagnet on the square-kagome lattice: a tensor network study
Saeed S. Jahromi, Yasir Iqbal
We study the ground-state phase diagram of the spin- antiferromagnetic Heisenberg model on the square-kagome lattice using infinite projected entangled-pair states (iPEPS). By…
Quantum Phase Diagram of the Bilayer Kitaev-Heisenberg Model
Elahe Samimi, Antonia Duft, Patrick Adelhardt +2
We study the ground-state phase diagram of the spin- Kitaev-Heisenberg model on the bilayer honeycomb lattice with large-scale tensor network calculations based on the infinit…
Quantum Large Language Models via Tensor Network Disentanglers
Borja Aizpurua, Fernando Loren, Saeed S. Jahromi +2
We introduce a framework for seamlessly integrating quantum computing into pretrained large language models (LLMs). The key idea is to construct a hybrid quantum-classical represen…
Tensor network compressibility of convolutional models
Sukhbinder Singh, Saeed S. Jahromi, Roman Orus
Convolutional neural networks (CNNs) are one of the most widely used neural network architectures, showcasing state-of-the-art performance in computer vision tasks. Although larger…
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
Andrei Tomut, Saeed S. Jahromi, Abhijoy Sarkar +15
Large Language Models (LLMs) such as ChatGPT and LlaMA are advancing rapidly in generative Artificial Intelligence (AI), but their immense size poses significant challenges, such a…
Efficient tensor network simulation of IBM's largest quantum processors
Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh +1
We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 q…
Valence-Bond Solid phases in the spin- Kekule-Heisenberg model
Fatemeh Mirmojarabian, Saeed S. Jahromi, Jahanfar Abouie
We map out the ground state phase diagram of the isotropic Kekule'-Kitaev model on the honeycomb lattice in the presence of the Heisenberg exchange couplings. Our study relies on l…
Quantum-Inspired Tensor Neural Networks for Option Pricing
Raj G. Patel, Chia-Wei Hsing, Serkan Sahin +12
Recent advances in deep learning have enabled us to address the curse of dimensionality (COD) by solving problems in higher dimensions. A subset of such approaches of addressing th…
Variational Tensor Neural Networks for Deep Learning
Saeed S. Jahromi, Roman Orus
Deep neural networks (NNs) encounter scalability limitations when confronted with a vast array of neurons, thereby constraining their achievable network depth. To address this chal…
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
Raj Patel, Chia-Wei Hsing, Serkan Sahin +11
Partial Differential Equations (PDEs) are used to model a variety of dynamical systems in science and engineering. Recent advances in deep learning have enabled us to solve them in…
Kitaev honeycomb antiferromagnet in a field: quantum phase diagram for general spin
Saeed S. Jahromi, Max Hörmann, Patrick Adelhardt +4
We combine tensor-network approaches and high-order linked-cluster expansions to investigate the quantum phase diagram of the antiferromagnetic Kitaev's honeycomb model in a magnet…
Thermodynamics of 3D Kitaev quantum spin liquids via tensor networks
Saeed S. Jahromi, Hadi Yarloo, Roman Orus
We study the 3D Kitaev and Kitaev-Heisenberg models respectively on the hyperhoneycomb and hyperoctagon lattices, both at zero and finite-temperature, in the thermodynamic limit. O…
Thermal bosons in 3d optical lattices via tensor networks
Saeed S. Jahromi, Roman Orus
Ultracold atoms in optical lattices are one of the most promising experimental setups to simulate strongly correlated systems. However, efficient numerical algorithms able to bench…
Topological RVB quantum spin liquid on the ruby lattice
Saeed S. Jahromi, Roman Orus
We construct a short-range resonating valence-bond state (RVB) on the ruby lattice, using projected entangled-pair states (PEPS) with bond dimension . By introducing non-local…
Spin- kagome Heisenberg antiferromagnet with strong breathing anisotropy
Saeed S. Jahromi, Roman Orus, Didier Poilblanc +1
We study the zero-temperature phase diagram of the spin- Heisenberg model with breathing anisotropy (i.e., with different coupling strength on the upward and downward…
Fine-Grained Tensor Network Methods
Philipp Schmoll, Saeed S. Jahromi, Max Hörmann +3
We develop a strategy for tensor network algorithms that allows to deal very efficiently with lattices of high connectivity. The basic idea is to fine-grain the physical degrees of…
Expanding Belnap: dualities for a new class of default bilattices
Andrew Craig, Brian A. Davey, Miroslav Haviar
Bilattices provide an algebraic tool with which to model simultaneously knowledge and truth. They were introduced by Belnap in 1977 in a paper entitled \emph{How a computer should…
Spin- Heisenberg antiferromagnet on the star lattice: Competing valence-bond-solid phases studied by means of tensor networks
Saeed S. Jahromi, Roman Orus
Using the infinite Projected Entangled Pair States (iPEPS) algorithm, we study the ground-state properties of the spin- quantum Heisenberg antiferromagnet on the star lattice…
Infinite Projected Entangled-Pair State algorithm for ruby and triangle-honeycomb lattices
Saeed S. Jahromi, Roman Orus, Mehdi Kargarian +1
The infinite Projected Entangled-Pair State (iPEPS) algorithm is one of the most efficient techniques for studying the ground-state properties of two-dimensional quantum lattice Ha…
Emergence of string-valence bond solid state in the frustrated transverse field Ising model on the square lattice
M. Sadrzadeh, R. Haghshenas, S. S. Jahromi +1
We investigate the ground state nature of the transverse field Ising model on the square lattice at the highly frustrated point . At zero field, the model ha…
Topological spin liquids in the ruby lattice with anisotropic Kitaev interactions
Saeed S. Jahromi, Mehdi Kargarian, S. Farhad Masoudi +1
The ruby lattice is a four-valent lattice interpolating between honeycomb and triangular lattices. In this work we investigate the topological spin-liquid phases of a spin Hamilton…