papers

Publications (61)

quant-ph2020

Evaluating the noise resilience of variational quantum algorithms

Enrico Fontana, Nathan Fitzpatrick, David Muñoz Ramo +2

We simulate the effects of different types of noise in state preparation circuits of variational quantum algorithms. We first use a variational quantum eigensolver to find the grou…

physics.optics2016

Femtosecond spin current pulses generated by the non-thermal spin-dependent Seebeck effect and interacting with ferromagnets in spin valves

Alexandr Alekhin, Ilya Razdolski, Nikita Ilin +8

Using the sensitivity of magneto-induced second harmonic generation to spin currents (SC), we demonstrate in Fe/Au/Fe/MgO(001) pseudo spin valves the generation of 250 fs-long SC p…

cond-mat.mes-hall2011

Current-induced energy barrier suppression for electromigration from first principles

Ruoxing Zhang, Ivan Rungger, Stefano Sanvito +1

We present an efficient method for evaluating current-induced forces in nanoscale junctions, which naturally integrates into the non-equilibrium Green's function formalism implemen…

cond-mat.str-el2022

The DFT+ method for electron correlation effects at transition metal surfaces

Andrea Droghetti, Miloš M. Radonjić, Anita Halder +2

We present a computational approach for electronically correlated metallic surfaces and interfaces, which combines Density Functional and Dynamical Mean Field Theory using a multi-…

cond-mat.str-el2021

Pressure induced electronic transitions in Samarium monochalcogenides

Debalina Banerjee, Evgeny Plekhanov, Ivan Rungger +1

Pressure induced isostructural insulator to metal transition for SmS is characterised by the presence of an intermediate valence state at higher pressure which cannot be captured b…

cond-mat.mtrl-sci2018

Search for alternative magnetic tunnel junctions based on all-Heusler stacks

Worasak Rotjanapittayakul, Jariyanee Prasongkit, Ivan Rungger +3

By imposing the constraints of structural compatibility, stability and a large tunneling magneto-resistance, we have identified the FeAl/BiF/FeAl stack as a possible al…

cond-mat.mes-hall2016

Oxygen modulated quantum conductance for ultra-thin HfO-based memristive switching devices

Xiaoliang Zhong, Ivan Rungger, Peter Zapol +1

Memristive switching devices, candidates for resistive random access memory technology, have been shown to switch off through a progression of states with quantized conductance and…

quant-ph2023

Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

Shuxiang Cao, Weixi Zhang, Jules Tilly +9

Qutrits, three-level quantum systems, have the advantage of potentially requiring fewer components than the typically used two-level qubits to construct equivalent quantum circuits…

cond-mat.mtrl-sci2018

Unique excitonic effects in tungsten disulphide monolayers on two-layer graphene

Cristina E. Giusca, Ivan Rungger, Vishal Panchal +8

Light emission in atomically thin heterostructures is known to depend on the type of materials, number and stacking sequence of the constituent layers. Here we show that the thickn…

quant-ph2023

A fault-tolerant variational quantum algorithm with limited T-depth

Hasan Sayginel, Francois Jamet, Abhishek Agarwal +2

We propose a variational quantum eigensolver (VQE) algorithm that uses a fault-tolerant gate-set, and is hence suitable for implementation on a future error-corrected quantum compu…

cond-mat.mtrl-sci2007

Accurate self-energy algorithm for quasi-1D systems

Ivan Rungger, Stefano Sanvito

We present a complete prescription for the numerical calculation of surface Green's functions and self-energies of semi-infinite quasi-onedimensional systems. Our work extends the…

cond-mat.mes-hall2017

Quantum transport simulation scheme including strong correlations and its application to organic radicals adsorbed on gold

Andrea Droghetti, Ivan Rungger

We present a computational method to quantitatively describe the linear-response conductance of nanoscale devices in the Kondo regime. This method relies on a projection scheme to…

quant-ph2024

Emulating two qubits with a four-level transmon qudit for variational quantum algorithms

Shuxiang Cao, Mustafa Bakr, Giulio Campanaro +7

Using quantum systems with more than two levels, or qudits, can scale the computation space of quantum processors more efficiently than using qubits, which may offer an easier phys…

cond-mat.mtrl-sci2018

Spin-Polarized Tunneling through Chemical Vapor Deposited Multilayer Molybdenum Disulfide

André Dankert, Parham Pashaei, M. Venkata Kamalakar +10

The two-dimensional (2D) semiconductor molybdenum disulfide (MoS2) has attracted widespread attention for its extraordinary electrical, optical, spin and valley related properties.…

quant-ph2024

Anderson impurity solver integrating tensor network methods with quantum computing

Francois Jamet, Lachlan P. Lindoy, Yannic Rath +6

Solving the Anderson impurity model typically involves a two-step process, where one first calculates the ground state of the Hamiltonian, and then computes its dynamical propertie…

quant-ph2023

Modelling non-Markovian noise in driven superconducting qubits

Abhishek Agarwal, Lachlan P. Lindoy, Deep Lall +2

Non-Markovian noise can be a significant source of errors in superconducting qubits. We develop gate sequences utilising mirrored pseudoidentities that allow us to characterise and…

cond-mat.str-el2025

A non-equilibrium quantum transport framework for spintronic devices with dynamical correlations

Declan Nell, Milos Radonjic, Ivan Rungger +3

Two-terminal spintronic devices remain challenging to model under realistic operating conditions, where the interplay of complex electronic structures, correlation effects and bias…

quant-ph2022

The Variational Quantum Eigensolver: a review of methods and best practices

Jules Tilly, Hongxiang Chen, Shuxiang Cao +8

The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground state energy of a Hamiltonian, a problem that is central to quantum chemistry and…

quant-ph2026

Dynamical Decoupling using Universal Optimal Tracking

Amit Devra, Emanuel Malvetti, Niklas J. Glaser +7

Dynamical decoupling (DD) is a widely used and resource-efficient technique for error suppression, but conventional DD relies on periodically repeating a short pulse block to refoc…

cond-mat.mtrl-sci2010

Large bias-dependent magnetoresistance in all-oxide magnetic tunnel junctions with a ferroelectric barrier

Nuala M. Caffrey, Thomas Archer, Ivan Rungger +1

All-oxide magnetic tunnel junctions (MTJs) incorporating functional materials as insulating barriers have the potential of becoming the founding technology for novel multi-function…

cond-mat.mes-hall2014

Efficient spin injection and giant magnetoresistance in Fe/MoS/Fe junctions

Kapildeb Dolui, Awadhesh Narayan, Ivan Rungger +1

We demonstrate giant magnetoresistance in Fe/MoS/Fe junctions by means of \textit{ab-initio} transport calculations. We show that junctions incorporating either a mono- or a bi…

cond-mat.mes-hall2008

Resonant electronic states and I-V curves of Fe/MgO/Fe(100) tunnel junctions

Ivan Rungger, Oleg N. Mryasov, Stefano Sanvito

The bias dependence of the tunnel magnetoresistance (TMR) of Fe/MgO/Fe tunnel junctions is investigated theoretically with a fully self-consistent scheme that combines the non-equi…

quant-ph2025

Fast-tracking and disentangling of qubit noise fluctuations using minimal-data averaging and hierarchical discrete fluctuation auto-segmentation

Abhishek Agarwal, Lachlan P. Lindoy, Deep Lall +3

Qubit noise and fluctuations of the noise over time are key factors limiting the performance of quantum computers. Characterising them with high temporal resolution is challenging…

cond-mat.mes-hall2022

Spin-orbit induced equilibrium spin currents in materials

Andrea Droghetti, Ivan Rungger, Angel Rubio +1

The existence of spin-currents in absence of any driving external fields is commonly considered an exotic phenomenon appearing only in quantum materials, such as topological insula…

quant-ph2024

Efficient characterization of qudit logical gates with gate set tomography using an error-free Virtual-Z-gate model

Shuxiang Cao, Deep Lall, Mustafa Bakr +7

Gate-set tomography (GST) characterizes the process matrix of quantum logic gates, along with measurement and state preparation errors in quantum processors. GST typically requires…

cond-mat.mtrl-sci2006

Ab initio study on the magneto-structural properties of MnAs

Ivan Rungger, Stefano Sanvito

The magnetic and structural properties of MnAs are studied with ab initio methods, and by mapping total energies onto a Heisenberg model. The stability of the different phases is f…

quant-ph2021

Krylov variational quantum algorithm for first principles materials simulations

Francois Jamet, Abhishek Agarwal, Carla Lupo +3

We propose an algorithm to obtain Green's functions as a continued fraction on quantum computers, which is based on the construction of the Krylov basis using variational quantum a…

cond-mat.mes-hall2018

Robust organic radical molecular junctions using acetylene terminated groups for C-Au bond formation

Francesc Bejarano, Ignacio Jose Olavarria-Contreras, Andrea Droghetti +9

Organic paramagnetic and electroactive molecules are attracting interest as core components of molecular electronic and spintronic devices. Currently, further progress is hindered…

quant-ph2025

pyTTN: An Open Source Toolbox for Open and Closed System Quantum Dynamics Simulations Using Tree Tensor Networks

Lachlan P Lindoy, Daniel Rodrigo-Albert, Yannic Rath +1

We present the Python Tree Tensor Network package (pyTTN) for the evaluation of dynamical properties of closed and open quantum systems that makes use of Tree Tensor Network (TTN),…

quant-ph2022

Efficient recovery of variational quantum algorithms landscapes using classical signal processing

Enrico Fontana, Ivan Rungger, Ross Duncan +1

We employ spectral analysis and compressed sensing to identify settings where a variational algorithm's cost function can be recovered purely classically or with minimal quantum co…

cond-mat.mes-hall2012

Electronic Transport Through EuO Spin Filter Tunnel Junctions

Nuttachai Jutong, Ivan Rungger, Cosima Schuster +3

Epitaxial spin filter tunnel junctions based on the ferromagnetic semiconductor europium monoxide, EuO, are investigated by means of density functional theory. In particular, we fo…

cond-mat.str-el2024

Effect of dynamical electron correlations on the tunnelling magnetoresistance of Fe/MgO/Fe(001) junctions

Declan Nell, Stefano Sanvito, Ivan Rungger +1

We employ dynamical mean-field theory (DMFT) combined with density functional theory (DFT) and the non-equilibrium Green's function technique to investigate the steady-state transp…

math.ST2026

A Langevin sampler for quantum tomography

Tameem Adel, Abhishek Agarwal, Stéphane Chrétien +4

Quantum tomography involves obtaining a full classical description of a prepared quantum state from experimental results. We propose a Langevin sampler for quantum tomography, that…

cond-mat.mes-hall2013

Structural Origins of Conductance Fluctuations in Gold-Thiolate Molecular Transport Junctions

William R. French, Christopher R. Iacovella, Ivan Rungger +3

We report detailed atomistic simulations combined with high-fidelity conductance calculations to probe the structural origins of conductance fluctuations in thermally evolving Au-b…

quant-ph2025

Variational preparation of normal matrix product states on quantum computers

Ben Jaderberg, George Pennington, Kate V. Marshall +6

Preparing matrix product states (MPSs) on quantum computers is an essential routine in the simulation of many-body physics. However, widely-used schemes based on staircase circuits…

quant-ph2022

Spectral analysis for noise diagnostics and filter-based digital error mitigation

Enrico Fontana, Ivan Rungger, Ross Duncan +1

We investigate the effects of noise on parameterised quantum circuits using spectral analysis and classical signal processing tools. For different noise models, we quantify the add…

cond-mat.mtrl-sci2013

Origin of the n-type and p-type conductivity of MoS2 monolayers on a SiO2 substrate

Kapildeb Dolui, Ivan Rungger, Stefano Sanvito

Ab-initio density functional theory calculations are performed to study the electronic properties of a MoS2 monolayer deposited over a SiO2 substrate in the presence of interface i…

cond-mat.mes-hall2014

Stretching of BDT-gold molecular junctions: thiol or thiolate termination?

Amaury de Melo Souza, Ivan Rungger, Renato Borges Pontes +4

It is often assumed that the hydrogen atoms in the thiol groups of a benzene-1,4-dithiol dissociate when Au-benzene-1,4-dithiol-Au junctions are formed. We demonstrate, by stabilit…

quant-ph2022

Non-trivial symmetries in quantum landscapes and their resilience to quantum noise

Enrico Fontana, M. Cerezo, Andrew Arrasmith +2

Very little is known about the cost landscape for parametrized Quantum Circuits (PQCs). Nevertheless, PQCs are employed in Quantum Neural Networks and Variational Quantum Algorithm…

cond-mat.str-el2022

Dynamical Mean-Field Theory for spin-dependent electron transport in spin-valve devices

Andrea Droghetti, Milos M. Radonjić, Liviu Chioncel +1

We present the combination of Density Functional Theory (DFT) and Dynamical Mean Field Theory (DMFT) for computing the electron transmission through two-terminals nanoscale devices…

physics.comp-ph2021

Data-Driven Dynamical Mean-Field Theory: an error-correction approach to solve the quantum many-body problem using machine learning

Evan Sheridan, Christopher Rhodes, Francois Jamet +2

Machine learning opens new avenues for modelling correlated materials. Quantum embedding approaches, such as the dynamical mean-field theory (DMFT), provide corrections to first-pr…

cond-mat.mes-hall2012

Topological surface states scattering in Antimony

Awadhesh Narayan, Ivan Rungger, Stefano Sanvito

In this work we study the topologically protected states of the Sb(111) surface by using ab-initio transport theory. In the presence of a strong surface perturbation we obtain stan…

cond-mat.mtrl-sci2015

Spin-valve Effect in NiFe/MoS2/NiFe Junctions

Weiyi Wang, Awadhesh Narayan, Lei Tang +8

Two-dimensional (2D) layered transition metal dichalcogenides (TMDs) have been recently proposed as appealing candidate materials for spintronic applications owing to their distinc…

cond-mat.mes-hall2014

Phenomenology of Andreev reflection from first-principles transport theory

Awadhesh Narayan, Ivan Rungger, Stefano Sanvito

We study Andreev reflection in normal metal-superconductor junctions by using an extended Blonder-Tinkham-Klapwijk model combined with transport calculations based on density funct…

cond-mat.mes-hall2013

Atomistic Simulations of Highly Conductive Molecular Transport Junctions Under Realistic Conditions

William R. French, Christopher R. Iacovella, Ivan Rungger +3

We report state-of-the-art atomistic simulations combined with high-fidelity conductance calculations to probe structure-conductance relationships in Au-benzenedithiolate(BDT)-Au j…

cond-mat.supr-con2019

Existence of Shapiro Steps in the Dissipative Regime in Superconducting Weak Links

Connor D. Shelly, Patrick See, Ivan Rungger +1

We present measurements of microwave-induced Shapiro steps in a superconducting nanobridge weak link in the dissipative branch of a hysteretic current-voltage characteristic. We de…

quant-ph2020

Quantum State Discrimination Using Noisy Quantum Neural Networks

Andrew Patterson, Hongxiang Chen, Leonard Wossnig +3

Near-term quantum computers are noisy, and therefore must run algorithms with a low circuit depth and qubit count. Here we investigate how noise affects a quantum neural network (Q…

cond-mat.mes-hall2017

Gate control of spin-polarized conductance in alloyed transition metal nano-contacts

Ilia N. Sivkov, Oleg O. Brovko, Ivan Rungger +1

To date, endeavors in nanoscale spintronics are dominated by the use of single-electron or single-spin transistors having at their heart a semiconductor, metallic or molecular quan…

cond-mat.mtrl-sci2015

Electronic and magnetic properties of Ti4O7 predicted by self-interaction corrected density functional theory

Xiaoliang Zhong, Ivan Rungger, Peter Zapol +1

Understanding electronic properties of sub-stoichiometric phases of titanium oxide such as Magnéli phase Ti4O7 is crucial in designing and modeling resistive switching devices. He…

cond-mat.mtrl-sci2012

Coexistance of giant tunneling electroresistance and magnetoresistance in an all-oxide magnetic tunnel junction

Nuala Mai Caffrey, Thomas Archer, Ivan Rungger +1

We demonstrate with first-principles electron transport calculations that large tunneling magnetoresistance (TMR) and tunneling electroresistance (TER) effects can coexist in an al…

quant-ph2026

QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding

Shuxiang Cao, Zijian Zhang, Abhishek Agarwal +29

Quantum computing calibration depends on interpreting experimental data, and calibration plots provide the most universal human-readable representation for this task, yet no system…

quant-ph2025

A Review and Collection of Metrics and Benchmarks for Quantum Computers: definitions, methodologies and software

Deep Lall, Abhishek Agarwal, Weixi Zhang +15

Quantum computers have the potential to provide an advantage over classical computers in a number of areas. Numerous metrics to benchmark the performance of quantum computers, rang…

quant-ph2022

Quantum subspace expansion algorithm for Green's functions

Francois Jamet, Abhishek Agarwal, Ivan Rungger

We present an algorithm to compute Green's functions on quantum computers for interacting electron systems, which is a challenging task on conventional computers. It uses a continu…

cond-mat.mtrl-sci2013

Ab-initio study on the possible doping strategies for MoS monolayers

Kapildeb Dolui, Ivan Rungger, Chaitanya Das Pemmaraju +1

Density functional theory is used to systematically study the electronic and magnetic properties of doped MoS monolayers, where the dopants are incorporated both via S/Mo subst…

quant-ph2021

Reduced Density Matrix Sampling: Self-consistent Embedding and Multiscale Electronic Structure on Current Generation Quantum Computers

Jules Tilly, P. V. Sriluckshmy, Akashkumar Patel +6

We investigate fully self-consistent multiscale quantum-classical algorithms on current generation superconducting quantum computers, in a unified approach to tackle the correlated…

cond-mat.mes-hall2016

First-principles spin-transfer torque in CuMnAsGaPCuMnAs junctions

Maria Stamenova, Razie Mohebbi, Jamileh Seyedyazdi +2

We demonstrate that an all-antiferromagnetic tunnel junction with current perpendicular to the plane geometry can be used as an efficient spintronics device with potential high fre…

quant-ph2024

Quantum subspace expansion approach for simulating dynamical response functions of Kitaev spin liquids

Chukwudubem Umeano, François Jamet, Lachlan P. Lindoy +2

We develop a quantum simulation-based approach for studying properties of strongly correlated magnetic materials at increasing scale. We consider a paradigmatic example of a quantu…

cond-mat.mes-hall2014

Ab-initio transport across Bismuth Selenide surface barriers

Awadhesh Narayan, Ivan Rungger, Andrea Droghetti +1

We investigate the effect of potential barriers in the form of step edges on the scattering properties of BiSe(111) topological surface states by means of large-scale ab-in…

cond-mat.mes-hall2015

Single atom anisotropic magnetoresistance on a topological insulator surface

Awadhesh Narayan, Ivan Rungger, Stefano Sanvito

We demonstrate single atom anisotropic magnetoresistance on the surface of a topological insulator, arising from the interplay between the helical spin-momentum-locked surface elec…

quant-ph2023

Classical simulations of noisy variational quantum circuits

Enrico Fontana, Manuel S. Rudolph, Ross Duncan +2

Noise detrimentally affects quantum computations so that they not only become less accurate but also easier to simulate classically as systems scale up. We construct a classical si…

cond-mat.str-el2021

Maximally Localized Dynamical Quantum Embedding for Solving Many-Body Correlated Systems

Carla Lupo, François Jamet, Terence Tse +2

We present a quantum embedding methodology to resolve the Anderson impurity model in the context of dynamical mean-field theory, based on an extended exact diagonalization method.…