Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Bálint Koczor"'
Publikováno v:
PRX Quantum, Vol 5, Iss 1, p 010324 (2024)
Classical shadows enable us to learn many properties of a quantum state ρ with very few measurements. However, near-term and early fault-tolerant quantum computers will only be able to prepare noisy quantum states ρ and it is thus a considerable ch
Externí odkaz:
https://doaj.org/article/13261a44cdbe4031bb0e9dad24609fb0
Autor:
Gregory Boyd, Bálint Koczor
Publikováno v:
Physical Review X, Vol 12, Iss 4, p 041022 (2022)
Exploiting near-term quantum computers and achieving practical value is a considerable and exciting challenge. Most prominent candidates as variational algorithms typically aim to find the ground state of a Hamiltonian by minimizing a single classica
Externí odkaz:
https://doaj.org/article/f67760d1db814e7882f140752c425535
Autor:
Bálint Koczor, Simon C. Benjamin
Publikováno v:
Physical Review Research, Vol 4, Iss 2, p 023017 (2022)
Variational algorithms have particular relevance for near-term quantum computers but require nontrivial parameter optimizations. Here we propose analytic descent: Given that the energy landscape must have a certain simple form in the local region aro
Externí odkaz:
https://doaj.org/article/2075ba8c856d4448a879518de3a6b170
Autor:
Bálint Koczor
Publikováno v:
Physical Review X, Vol 11, Iss 3, p 031057 (2021)
Suppressing noise in physical systems is of fundamental importance. As quantum computers mature, quantum error correcting codes (QECs) will be adopted in order to suppress errors to any desired level. However in the noisy, intermediate-scale quantum
Externí odkaz:
https://doaj.org/article/2a82ebd32f9f4a35934110228a9ad3a5
Autor:
Barnaby van Straaten, Bálint Koczor
Publikováno v:
PRX Quantum, Vol 2, Iss 3, p 030324 (2021)
We consider metric-aware quantum algorithms that use a quantum computer to efficiently estimate both a matrix and a vector object. For example, the recently introduced quantum natural gradient approach uses the Fisher matrix as a metric tensor to cor
Externí odkaz:
https://doaj.org/article/ea10c89229c446cd8021342441a92cf7
Autor:
Bálint Koczor
Publikováno v:
New Journal of Physics, Vol 23, Iss 12, p 123047 (2021)
Although near-term quantum devices have no comprehensive solution for correcting errors, numerous techniques have been proposed for achieving practical value. Two works have recently introduced the very promising error suppression by derangements (ES
Externí odkaz:
https://doaj.org/article/9694e5a7b5bd4a0781a8a260179833c1
Publikováno v:
New Journal of Physics, Vol 22, Iss 8, p 083038 (2020)
Quantum technologies exploit entanglement to enhance various tasks beyond their classical limits including computation, communication and measurements. Quantum metrology aims to increase the precision of a measured quantity that is estimated in the p
Externí odkaz:
https://doaj.org/article/1b814a0200fb4344be98f2d1a9df73b6
Autor:
Bálint Koczor, Simon C. Benjamin
Variational quantum algorithms are promising tools whose efficacy depends on their optimisation method. For noise-free unitary circuits, the quantum generalisation of natural gradient descent has been introduced and shown to be equivalent to imaginar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::974ed53153bf5850f77b22d105f61ad4
https://doi.org/10.1103/physreva.106.062416
https://doi.org/10.1103/physreva.106.062416
Autor:
Bálint Koczor, Gregory Boyd
Exploiting near-term quantum computers and achieving practical value is a considerable and exciting challenge. Most prominent candidates as variational algorithms typically aim to find the ground state of a Hamiltonian by minimising a single classica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb14bf51465719273a35e5afffec02bb
http://arxiv.org/abs/2204.08494
http://arxiv.org/abs/2204.08494
Autor:
Bálint Koczor, Barnaby van Straaten
Publikováno v:
PRX Quantum. 2
Variational quantum algorithms are promising tools for near-term quantum computers as their shallow circuits are robust to experimental imperfections. Their practical applicability, however, strongly depends on how many times their circuits need to b