1.3k citations · 4k across the 62 of their papers we have counts for
62 papers
Microscopic derivation of a completely positive master equation for the description of Open Quantum Brownian Motion of a particle in a potential
Ayanda Zungu, Ilya Sinayskiy, Francesco Petruccione
Open Quantum Brownian Motion (OQBM) was introduced as a scaling limit of discrete-time open quantum walks. This limit defines a new class of quantum Brownian motion, which incorpor…
The Cross-Kernel Margin: A Robustness Measure for Quantum Kernel Methods
Saarisha Govender, Ilya Sinayskiy
Quantum devices in the current Noisy Intermediate-Scale Quantum (NISQ) era are inherently affected by noise, which can degrade the predictive performance of quantum machine learnin…
Adiabatic elimination and Wigner function approach in microscopic derivation of Open Quantum Brownian Motion
Ayanda Zungu, Ilya Sinayskiy, Francesco Petruccione
Open Quantum Brownian Motion (OQBM) is a new class of quantum Brownian motion in which the dynamics of the Brownian particle depend not only on interactions with a thermal environm…
Generating Generalised Ground-State Ansatzes from Few-Body Examples
Matt Lourens, Ilya Sinayskiy, Johannes N. Kriel +1
We introduce a method that generates ground-state ansatzes for quantum many-body systems which are both analytically tractable and accurate over wide parameter regimes. Our approac…
Quantum evolution: terrestrial fine-tuning of magnetic parameters
Betony Adams, Abbas Hassasfar, Ilya Sinayskiy +3
For the first time in history, humankind might conceivably begin to imagine itself as a multi-planetary species. This goal will entail technical innovation in a number of contexts,…
Entanglement and coherence in pure and doped Posner molecules
Betony Adams, Ilya Sinayskiy, Shivang Agarwal +1
The potential role of spin in biological systems is a primary topic in quantum biology. However, much of this research focuses on electron spin. A recent hypothesis suggests that n…
Quantitative Comparison of Nearest Neighbor Search Algorithms
Hanitriniala Malalatiana Rakotondrasoa, Martin Bucher, Ilya Sinayskiy
We compare the performance of three nearest neighbor search algorithms: the Orchard, ball tree, and VP-tree algorithms. These algorithms are commonly used for nearest-neighbor sear…
QAOA Performance in Noisy Devices: The Effect of Classical Optimizers and Ansatz Depth
Aidan Pellow-Jarman, Shane McFarthing, Ilya Sinayskiy +3
The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions f…
A Multi-Class SWAP-Test Classifier
S M Pillay, I Sinayskiy, E Jembere +1
Multi-class classification problems are fundamental in many varied domains in research and industry. To solve multi-class classification problems, heuristic strategies such as One-…
Hybrid Genetic Optimisation for Quantum Feature Map Design
Rowan Pellow-Jarman, Anban Pillay, Ilya Sinayskiy +1
Kernel methods are an important class of techniques in machine learning. To be effective, good feature maps are crucial for mapping non-linearly separable input data into a higher…
Classical Ensembles of Single-Qubit Quantum Variational Circuits for Classification
Shane McFarthing, Anban Pillay, Ilya Sinayskiy +1
The quantum asymptotically universal multi-feature (QAUM) encoding architecture was recently introduced and showed improved expressivity and performance in classifying pulsar stars…
Digital Simulation of Single Qubit Markovian Open Quantum Systems: A Tutorial
I J David, I Sinayskiy, F Petruccione
One of the first proposals for the use of quantum computers was the simulation of quantum systems. Over the past three decades, great strides have been made in the development of a…
Statistical and machine learning approaches for prediction of long-time excitation energy transfer dynamics
Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione
One of the approaches used to solve for the dynamics of open quantum systems is the hierarchical equations of motion (HEOM). Although it is numerically exact, this method requires…
Hierarchical quantum circuit representations for neural architecture search
Matt Lourens, Ilya Sinayskiy, Daniel K. Park +2
Machine learning with hierarchical quantum circuits, usually referred to as Quantum Convolutional Neural Networks (QCNNs), is a promising prospect for near-term quantum computing.…
Markovian Noise Modelling and Parameter Extraction Framework for Quantum Devices
Dean Brand, Ilya Sinayskiy, Francesco Petruccione
In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework fo…
Machine learning for excitation energy transfer dynamics
Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione
A well-known approach to describe the dynamics of an open quantum system is to compute the master equation evolving the reduced density matrix of the system. This approach plays an…
Bad vibrations: Quantum tunnelling in the context of SARS-CoV-2 infection
Betony Adams, Ilya Sinayskiy, Rienk van Grondelle +1
The SARS-CoV-2 pandemic has added new urgency to the study of viral mechanisms of infection. But while vaccines offer a measure of protection against this specific outbreak, a new…
Near Term Algorithms for Linear Systems of Equations
Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay +1
Finding solutions to systems of linear equations is a common prob\-lem in many areas of science and engineering, with much potential for a speedup on quantum devices. While the Har…
Digital simulation of convex mixtures of Markovian and non-Markovian single qubit Pauli channels on NISQ devices
I J David, I Sinayskiy, F Petruccione
Quantum algorithms for simulating quantum systems provide a clear and provable advantage over classical algorithms in fault-tolerant settings. There is also interest in quantum alg…
A Comparison of Various Classical Optimizers for a Variational Quantum Linear Solver
Aidan Pellow-Jarman, Ilya Sinayskiy, Anban Pillay +1
Variational Hybrid Quantum Classical Algorithms (VHQCAs) are a class of quantum algorithms intended to run on noisy intermediate-scale quantum (NISQ) devices. These algorithms empl…
Roles of quantum coherences in thermal machines
C. L. Latune, I. Sinayskiy, F. Petruccione
Some of the oldest and most important applications of thermodynamics are operations of refrigeration as well as production of useful energy. Part of the efforts to understand and d…
Collective heat capacity for quantum thermometry and quantum engine enhancements
Camille L. Latune, Ilya Sinayskiy, Francesco Petruccione
The performances of quantum thermometry in thermal equilibrium together with the output power of certain class of quantum engines share a common characteristic: both are determined…
Negative contributions to entropy production induced by quantum coherences
Camille L. Latune, Ilya Sinayskiy, Francesco Petruccione
The entropy production in dissipative processes is the essence of the arrow of time and the second law of thermodynamics. For dissipation of quantum systems, it was recently shown…
Thermodynamics from indistinguishability: mitigating and amplifying the effects of the bath
Camille L. Latune, Ilya Sinayskiy, Francesco Petruccione
Rich quantum effects emerge when several quantum systems are indistinguishable from the point of view of the bath they interact with. In particular, delocalised excitations corresp…