Department of Applied Physics

Correlated Quantum Materials (CQM)

Theoretical condensed matter physics, focusing on quantum materials engineering.
HF TTG

The Correlated Quantum Materials (CQM) group focuses on theoretically studying emerging quantum phenomena in quantum materials. The core of our research focuses on the theoretical design and engineering of new quantum materials with exotic properties that are hard to find in natural compounds. Specifically, we are working on designing quantum materials featuring exotic quantum phenomena, including unconventional superconductivity, symmetry-broken states, topological states, unconventional magnetic order, and fractional emergent quantum excitations. For this purpose, we combine theoretical methodologies from condensed matter physics, quantum many-body physics, quantum chemistry, machine learning, and materials science. The research of my group focuses on three core directions: 
(1) To design and engineer exotic phenomena in van der Waals quantum materials
(2) To theoretically explore the emergence of new physics in interacting quantum many-body systems
(3) To develop machine learning algorithms to tackle open problems in quantum materials
These research lines focus respectively on specific directions in material science (1), condensed matter physics (2), and machine learning (3). As part of these three research lines, we pursue a variety of method development, including low-energy electronic structure methods, first principles methods, variational quantum many-body algorithms, and neural-network methods for quantum systems. These three research lines share strong synergies between themselves, often benefiting from common project and method developments. Besides our theory work, we often collaborate with experimental research groups to design quantum materials in general, and van der Waals materials in particular.

Current main research lines:

Heavy fermions TaS2
Artificial heavy fermions in a van der Waals heterostructure, Nature 599, 582–586 (2021)

Theory of van der Waals quantum materials
Van der Waals heterostructures provide an outstanding platform to engineer elusive quantum phenomena, by exploiting materials engineering, twist engineering and proximity effects. These strategies allow controlling the strength of quantum many-body interactions, and tailoring the internal quantum degrees of freedom, establishing unique playground to create quantum states of matter that rely on the coexistence of antagonists electronic orders. We are interested in developing new theoretical routes to exploit the flexibility of these materials to create exotic physics not accessible in conventional compounds. On the theory side, among others, we recently showed: 
Controlling artificial gauge fields electrically in twisted graphene multilayers
Designing frustrated valley magnets in twisted graphene multilayers 
Generating electrically controllable correlated states in twisted graphene multilayers
- Engineering artificial heavy-fermion correlated states in twisted graphene multilayers
- Revealing the mechanism leading to multiferroic order in a van der Waals monolayer 
In collaboration with experimental groups, we recently experimentally demonstrated:
Realizing an artificial many-body heavy-fermion state in van der Waals multilayers 
Probing magnetic excitations in van der Waals magnets
- Designing magnetically frustrated van der Waals magnets with spin-orbit coupling engineering
Probing crystal field effects in twisted graphene multilayers.


The methodologies that we develop are implemented in freely available in an open source library to study electronic, interacting and topological properties of tight binding models.

Current main research lines:
- Tunable correlated quantum matter in twisted van der Waals materials
- Van der Waals multiferroics
- Heavy-fermion Kondo quantum matter in van der Waals materials

Non-Hermitian tensor networks
Topological Spin Excitations in Non-Hermitian Spin Chains with a Generalized Kernel Polynomial Algorithm, Phys. Rev. Lett. 130, 100401 (2023)

Emergence in quantum many-body physics
Interactions in strongly correlated materials are capable of creating exotic behaviors not existent in conventional compounds. Paradigmatic examples of this are unconventional superconducting states, strongly correlated topological states, and fractionalized particles. We are focusing on exploring new forms of quantum matter that can emerge in systems showing quasiperiodicity, strong many-body interactions, and coupling to an environment. From a methodological perspective, part of my strategy focuses on exploring these exotic states using tensor-network methods both closed systems and open quantum many-body models, and how to use this methods to simulate noisy quantum computers. Among other, we have recently shown
Designing solitonic excitations between quantum disordered magnets and superconductors
- Designing quasiperiodic systems featuring topological excitations in purely quantum many-body systems
- Engineering topological modes in non-Hermitian interacting systems 
In collaboration with experimental groups, we experimentally showed:
Generating and probing criticality in quasiperiodic states 
- Promoting topological superconducting excitations with moire patterns
- Engineering and detecting triplon excitations in a designer quantum magnet

The methods we design are also implemented in freely available open source libraries we develop to solve quantum many-body problems with tensor networks.

Current main research lines:
- Non-Hermitian interacting many-body topology
- Tensor-network methods for non-Hermitian dynamical quantum many-body matter
- Quantum-circuit tensor-network algorithms for quantum matter
 

GAN
Designing quantum many-body matter with conditional generative adversarial networks, Phys. Rev. Research 4, 033223 (2022)

Machine learning quantum materials
A variety of problems in quantum materials remain greatly challenging with conventional methods. We are focusing on how to use generative machine learning to design quantum materials, how to solve interacting two-dimensional quantum many-body problems with neural network solvers, and how to infer Hamiltonians from experimentally available measurements with machine learning. We are focusing on developing generative machine learning algorithms provide to explore complex behavior in quantum materials, allowing the incorporation of interactions, disorder, and hidden variables. From the many-body solver perspective, neural network quantum states have risen as a greatly powerful many-body methodology for interacting systems, providing a well-suited method to solve complex correlated two-dimensional models. Finally, we are specially interested in developing strategies for Hamiltonian learning, an inverse problem of critical importance for quantum materials that cannot be solved using conventional methods in condensed matter physics. Ultimately, we aim to combine generative models and Hamiltonian learning, bringing together experimental data and theoretical models. Some of our recent demonstrations include:

- Machine learning quantum many-body correlation entropy from local measurements
- Exploiting generative adversarial machine learning for dynamical quantum matter and Hamiltonian learning 
- Predicting phase transition in quantum magnets with neural-network quantum state solvers
- Hamiltonian learning from local dynamical spectroscopy in quantum magnets
 

Current main research lines:
- Generative-adversarial machine learning for quantum materials
- Machine learning entanglement in quantum materials
- Neural-network methods for quantum criticality
- Machine learning methods for Hamiltonian learning from experimental data

Current group members:
- Jose Lado: Assistant professor
- Pascal Vecsei: Doctoral Researcher (co-supervised with Prof. Christian Flindt)
- Marcel Niedermeier: Doctoral Researcher (co-supervised with Prof. Christian Flindt)
- Elizabeth Pereira: Doctoral Researcher (co-supervised with Prof. Andrea Blanco-Redondo and Dr. Hongwei Li)
- Tiago Antao: Doctoral Researcher (co-supervised with Dr. Adolfo Fumega)
- Greta Lupi: Doctoral Researcher (co-supervised with Prof. Peter Liljeroth)
- Ana Vera: Doctoral Researcher (co-supervised with Dr. Adolfo Fumega and Prof. Peter Liljeroth)
- Yitao Sun: Doctoral Researcher (co-supervised with Prof. Shawulienu Kezilebieke)
- Adolfo Fumega: Academy of Finland Postdoctoral Researcher (co-supervised with Prof. Peter Liljeroth)
- Prateek Chawla: Postdoctoral Researcher (co-supervised with Prof. Christian Flindt)
Faluke Aikebaier: Visiting Postdoctoral Researcher (from Prof. Teemu Ojanen's group at Tampere U.)
- Netta Karjalainen: M.Sc. researcher
- Henrik Stenbrink: M.Sc. researcher (co-supervised with Dr. Miguel Caro)
- Isac Sahlberg: Industrial postdoctoral researcher

Former group members
- Guangze Chen: Doctoral Researcher
- Maryam Khosravian: Doctoral Researcher (co-supervised with Prof. Peter Liljeroth)
- Rouven Koch: Doctoral Researcher
- Sebastian Dominguez: Research Assistant
- Leonardo Labastida: Visiting Ph.D. researcher
- Henri Ojanen: Research Assistant
- Zina Lippo: Research Assistant
- Maaria Tiiri: Research Assistant 
- Kristin Lien: Research Assistant
- Min Xue Yang: Visiting Doctoral Researcher
- Mircea Trif: Visiting Researcher (PI at International Research Centre MagTop, Poland)
- Vilja Kaskela: MSc Student (co-supervised with Dr. Adolfo Fumega)
- Marc Nairn: Research Assistant (co-supervised with Prof. Christian Flindt)
- Timo Hyart: Research Fellow
- Mikael Haavisto: Research Assistant (co-supervised with Dr. Adolfo Fumega)
- Pramod Kumar: Postdoctoral Researcher
Valerii Kachin: Research Assistant (co-supervised with Prof. Teemu Ojanen and Dr. Timo Hyart)
Heikki Systä: Research Assistant (co-supervised with Prof. Päivi Törmä)
Pinja Hirvinen: Research Assistant 
- Timo Kist: Research Assistant (co-supervised with Prof. Christian Flindt)
Senna Luntama: Research Assistant (co-supervised with Prof. Päivi Törmä)

Research Group Members

 Jose Lado

Jose Lado

Assistant Professor
 Pascal Vecsei

Pascal Vecsei

Doctoral Researcher
 Marcel Niedermeier

Marcel Niedermeier

Doctoral Researcher
 Elizabeth Pereira

Elizabeth Pereira

Doctoral Researcher
 Tiago Antao

Tiago Antao

Doctoral Researcher
 Greta Lupi

Greta Lupi

Doctoral Researcher
 Ana Vera

Ana Vera

Doctoral Researcher
 Yitao Sun

Yitao Sun

Doctoral Researcher
 Adolfo Fumega

Adolfo Fumega

Academy of Finland Postdoctoral Researcher
 Prateek Chawla

Prateek Chawla

Postdoctoral Researcher
 Faluke Aikebaier

Faluke Aikebaier

Visiting Postdoctoral Researcher

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Researchers created a new quantum state of matter, dubbed a high-order topological magnet, that may address key issues in quantum technology.

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Physics Research Seminar: Elsa Prada (ICMM CSIC, Spain)

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Assistant Professor Jose Lado received an award from the European Physical Society. Photo: Evelin Kask/Aalto University

Assistant Professor Jose Lado recognised with early career distinction

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The Jane and Aatos Erkko Foundation awards a proof-of-concept grant for the design of quantum materials with quantum computers.

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Aalto Quantum Physics Seminars (Hybrid). Speaker: Dr. Fernando de Juan (Donostia International Physics Center, Spain)

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Professor Jose Lado was awarded early career prize. The award recognizes the talents of exceptional young researchers who are making a significant contribution to their respective field of research. The runner-up prize was awarded to Prof. Lado by Deutsche Physikalische Gesellschaft and Institute of Physics through New Journal of Physics (NJP).

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Department of Applied Physics Research Seminar: Dr. Aline Ramires

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Physics Research Seminar

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Hosted by Prof. Jose Lado.

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