From the 1 of 12 linked papers with an AI index.
8 citations · 8 across the 3 of their papers we have counts for
12 papers · 1 filter
Identifiability of Autonomous and Controlled Open Quantum Systems
Waqas Parvaiz, Johannes Aspman, Ales Wodecki +2
The paper studies how to determine (identify) the dynamics of autonomous and controlled open quantum systems by linking their master equations to classical linear and bilinear syst…
A Survey of Quantum Alternatives to Randomized Algorithms: Monte Carlo Integration and Beyond
Philip Intallura, Georgios Korpas, Sudeepto Chakraborty +4
Monte Carlo sampling is a powerful toolbox of algorithmic techniques widely used for a number of applications wherein some noisy quantity, or summary statistic thereof, is sought t…
Entanglement scaling in matrix product state representation of smooth functions and their shallow quantum circuit approximations
Vladyslav Bohun, Illia Lukin, Mykola Luhanko +4
Encoding classical data in a quantum state is a key prerequisite of many quantum algorithms. Recently matrix product state (MPS) methods emerged as the most promising approach for…
Global Optimization for Parametrized Quantum Circuits
Iosif Sakos, Antonios Varvitsiotis, Georgios Korpas +1
In the absence of error correction, noisy intermediate-scale quantum devices are operated by training parametrized quantum circuits (PQCs) so as to minimize a suitable loss functio…
Globally optimal control of quantum dynamics
Denys I. Bondar, Llorenc Balada Gaggioli, Georgios Korpas +3
Optimization of constrained quantum control problems powers quantum technologies. This task becomes very difficult when these control problems are nonconvex and plagued with dense…
Training Hybrid Deep Quantum Neural Network for Efficient Reinforcement Learning
Jie Luo, Jeremy Kulcsar, Xueyin Chen +2
Quantum circuits embed data in a Hilbert space whose dimensionality grows exponentially with the number of qubits, allowing even shallow parameterised quantum circuits (PQCs) to re…