7 papers · 1 filter
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…
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…
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…
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…
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…