activity
20192025
most citedEvaluating the noise resilience of variational quantum algorithms

87 citations · 288 across the 19 of their papers we have counts for

collaborators

19 papers

quant-ph2025

Shorter width truncated Taylor series for Hamiltonian dynamics simulations

Michelle Wynne Sze, David Zsolt Manrique, David Muñoz Ramo +1

As established in the seminal work by Berry et al.[1], expanding the time evolution operator using truncated Taylor series (up to some order ) makes a good candidate for simulat…

quant-ph2025★ 1 cited

Beyond asymptotic reasoning: the practicalities of a quantum ground state projector based on the wall-Chebyshev expansion

Maria-Andreea Filip, Nathan Fitzpatrick

We consider a quantum algorithm for ground-state preparation based on a Chebyshev series approximation to the wall function. In a classical setting, this approach is appealing as i…

quant-ph2025★ 1 cited

The Quantum Paldus Transform: Efficient Circuits with Applications

Jędrzej Burkat, Nathan Fitzpatrick

We present the Quantum Paldus Transform: an efficient quantum algorithm for block-diagonalising fermionic, spin-free Hamiltonians in the second quantisation. Our algorithm implemen…

quant-ph2025

Hamiltonian dynamics simulation using linear combination of unitaries on an ion trap quantum computer

Michelle Wynne Sze, Yao Tang, Silas Dilkes +3

The linear combination of unitaries (LCU) method has proven to scale better than existing product formulas in simulating long time Hamiltonian dynamics. However, given the number o…

quant-ph2024

Realizing Quantum Kernel Models at Scale with Matrix Product State Simulation

Mekena Metcalf, Pablo Andrés-Martínez, Nathan Fitzpatrick

Data representation in quantum state space offers an alternative function space for machine learning tasks. However, benchmarking these algorithms at a practical scale has been lim…

quant-ph2024★ 3 cited

Unification of Finite Symmetries in Simulation of Many-body Systems on Quantum Computers

Victor M. Bastidas, Nathan Fitzpatrick, K. J. Joven +5

Symmetry is fundamental in the description and simulation of quantum systems. Leveraging symmetries in classical simulations of many-body quantum systems can results in significant…

quant-ph2024★ 11 cited

Quantum state preparation for multivariate functions

Matthias Rosenkranz, Eric Brunner, Gabriel Marin-Sanchez +5

A fundamental step of any quantum algorithm is the preparation of qubit registers in a suitable initial state. Often qubit registers represent a discretization of continuous variab…

quant-ph2024★ 2 cited

Quantum Circuit Optimization with AlphaTensor

Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch +10

A key challenge in realizing fault-tolerant quantum computers is circuit optimization. Focusing on the most expensive gates in fault-tolerant quantum computation (namely, the T gat…

cond-mat.str-el2023★ 9 cited

Quantum Computed Green's Functions using a Cumulant Expansion of the Lanczos Method

Gabriel Greene-Diniz, David Zsolt Manrique, Kentaro Yamamoto +5

In this paper, we present a quantum computational method to calculate the many-body Green's function matrix in a spin orbital basis. We apply our approach to finite-sized fermionic…

quant-ph2023★ 2 cited

Calculating the Single-Particle Many-body Green's Functions via the Quantum Singular Value Transform Algorithm

Alexis Ralli, Gabriel Greene-Diniz, David Muñoz Ramo +1

The Quantum Singular Value Transformation (QSVT) is a technique that provides a unified framework for describing many of the quantum algorithms discovered to date. We implement a n…

quant-ph2023★ 4 cited

Simulating non-unitary dynamics using quantum signal processing with unitary block encoding

Hans Hon Sang Chan, David Muñoz Ramo, Nathan Fitzpatrick

We adapt a recent advance in resource-frugal quantum signal processing - the Quantum Eigenvalue Transform with Unitary matrices (QET-U) - to explore non-unitary imaginary time evol…

quant-ph2023

Non-unitary Trotter circuits for imaginary time evolution

Chiara Leadbeater, Nathan Fitzpatrick, David Muñoz Ramo +1

We propose an imaginary time equivalent of the well-established Pauli gadget primitive for Trotter-decomposed real time evolution, using mid-circuit measurements on a single ancill…

quant-ph2022★ 6 cited

Variational Phase Estimation with Variational Fast Forwarding

Maria-Andreea Filip, David Muñoz Ramo, Nathan Fitzpatrick

Subspace diagonalisation methods have appeared recently as promising means to access the ground state and some excited states of molecular Hamiltonians by classically diagonalising…

quant-ph2021★ 86 cited

A case study of variational quantum algorithms for a job shop scheduling problem

David Amaro, Matthias Rosenkranz, Nathan Fitzpatrick +2

Combinatorial optimization models a vast range of industrial processes aiming at improving their efficiency. In general, solving this type of problem exactly is computationally int…

quant-ph2021

Reducing Unitary Coupled Cluster Circuit Depth by Classical Stochastic Amplitude Pre-Screening

Maria-Andreea Filip, Nathan Fitzpatrick, David Muñoz Ramo +1

Unitary Coupled Cluster (UCC) approaches are an appealing route to utilising quantum hardware to perform quantum chemistry calculations, as quantum computers can in principle perfo…

quant-ph2021★ 1 cited

Evaluating low-depth quantum algorithms for time evolution on fermion-boson systems

Nathan Fitzpatrick, Harriet Apel, David Muñoz Ramo

Simulating time evolution of quantum systems is one of the most promising applications of quantum computing and also appears as a subroutine in many applications such as Green's fu…

quant-ph2021★ 25 cited

Molecular Excited State Calculations with Adaptive Wavefunctions on a Quantum Eigensolver Emulation: Reducing Circuit Depth and Separating Spin States

Hans Hon Sang Chan, Nathan Fitzpatrick, Javier Segarra-Marti +2

Ab initio electronic excited state calculations are necessary for the quantitative study of photochemical reactions, but their accurate computation on classical computers is plague…

quant-ph2020★ 87 cited

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…

quant-ph2019★ 50 cited

Dynamical mean field theory algorithm and experiment on quantum computers

I. Rungger, N. Fitzpatrick, H. Chen +12

The developments of quantum computing algorithms and experiments for atomic scale simulations have largely focused on quantum chemistry for molecules, while their application in co…