Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Tennie, Felix"'
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics
In the current Noisy Intermediate Scale Quantum (NISQ) era, the presence of noise deteriorates the performance of quantum computing algorithms. Quantum Reservoir Computing (QRC) is a type of Quantum Machine Learning algorithm, which, however, can ben
Externí odkaz:
http://arxiv.org/abs/2409.01394
A large spectrum of problems in classical physics and engineering, such as turbulence, is governed by nonlinear differential equations, which typically require high-performance computing to be solved. Over the past decade, however, the growth of clas
Externí odkaz:
http://arxiv.org/abs/2406.04826
In chaotic dynamical systems, extreme events manifest in time series as unpredictable large-amplitude peaks. Although deterministic, extreme events appear seemingly randomly, which makes their forecasting difficult. By learning the dynamics from obse
Externí odkaz:
http://arxiv.org/abs/2405.03390
Autor:
Tennie, Felix, Magri, Luca
For quantum computers to become useful tools to physicists, engineers and computational scientists, quantum algorithms for solving nonlinear differential equations need to be developed. Despite recent advances, the quest for a solver that can integra
Externí odkaz:
http://arxiv.org/abs/2401.13500
Autor:
Danin, David, Tennie, Felix
Current implementations of superconducting qubits are often limited by the low fidelities of multi-qubit gates. We present a reproducible and runtime-efficient pulse-level approach for calibrating an improved cross-resonance gate CR($\theta$) for arb
Externí odkaz:
http://arxiv.org/abs/2303.12771
Autor:
Ernst, Jan Ole, Tennie, Felix
Mode entanglement in many-body quantum systems is an active area of research. It provides crucial insight into the suitability of many-body systems for quantum information processing tasks. Local super-selection rules must be taken into account when
Externí odkaz:
http://arxiv.org/abs/2211.09647
Autor:
Tennie, Felix, Palmer, Tim
Over the past few years, quantum computers and quantum algorithms have attracted considerable interest and attention from numerous scientific disciplines. In this article, we aim to provide a non-technical, yet informative introduction to key aspects
Externí odkaz:
http://arxiv.org/abs/2210.17460
We demonstrate non-classical cooling on the IBMq cloud quantum computer. We implement a recently proposed refrigeration protocol which relies upon indefinite causal order for its quantum advantage. We use quantum channels which, when used in a well-d
Externí odkaz:
http://arxiv.org/abs/2107.12413
Autor:
Lloyd, Seth, De Palma, Giacomo, Gokler, Can, Kiani, Bobak, Liu, Zi-Wen, Marvian, Milad, Tennie, Felix, Palmer, Tim
Quantum computers are known to provide an exponential advantage over classical computers for the solution of linear differential equations in high-dimensional spaces. Here, we present a quantum algorithm for the solution of nonlinear differential equ
Externí odkaz:
http://arxiv.org/abs/2011.06571
Autor:
Tennie, Felix
Since typically the physics of many body quantum systems is solely described and determined by pairwise interactions, the concept of reduced particle information is fundamentally relevant, particularly for indistinguishable particles. Determining the
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729933