Petr Zapletal

ORCID: 0000-0003-3957-9585
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About
Contact & Profiles
Research Areas
  • Quantum Information and Cryptography
  • Mechanical and Optical Resonators
  • Education, Psychology, and Social Research
  • Quantum Computing Algorithms and Architecture
  • Quantum optics and atomic interactions
  • Quantum and electron transport phenomena
  • Quantum Mechanics and Applications
  • Cold Atom Physics and Bose-Einstein Condensates
  • Neural Networks and Reservoir Computing
  • Quantum many-body systems
  • Photonic and Optical Devices
  • Life Cycle Costing Analysis
  • Wireless Sensor Networks for Data Analysis
  • Renewable energy and sustainable power systems
  • Law, logistics, and international trade
  • Religious, Philosophical, and Educational Studies
  • Physical Education and Training Studies
  • Spectroscopy and Quantum Chemical Studies
  • Advanced MEMS and NEMS Technologies
  • Topological Materials and Phenomena
  • Sports injuries and prevention
  • Molecular spectroscopy and chirality
  • Laser-Matter Interactions and Applications
  • Advanced Fiber Laser Technologies
  • Laser-Ablation Synthesis of Nanoparticles

University of Basel
2024

University of Cambridge
2019-2022

Friedrich-Alexander-Universität Erlangen-Nürnberg
2021-2022

Palacký University Olomouc
2014-2021

Max Planck Institute for the Science of Light
2019

Quantum computing crucially relies on the ability to efficiently characterize quantum states output by hardware. Conventional methods which probe these through direct measurements and classically computed correlations become computationally expensive when increasing system size. neural networks tailored recognize specific features of combining unitary operations, feedforward promise require fewer tolerate errors. Here, we realize a convolutional network (QCNN) 7-qubit superconducting...

10.1038/s41467-022-31679-5 article EN cc-by Nature Communications 2022-07-16

Non-Gaussian quantum states have been deterministically prepared and autonomously stabilized in single- two-mode circuit electrodynamics architectures via engineered dissipation. However, it is currently unknown how to scale up this technique multi-mode non-Gaussian systems. Here, we upgrade dissipation engineering collective (normal) modes of nonlinear resonator arrays show stabilize Schrodinger cat states. These are multi-photon superpositions coherent a single normal mode delocalized over...

10.1103/prxquantum.3.010301 article EN cc-by PRX Quantum 2022-01-03

The analysis of noisy quantum states prepared on current computers is getting beyond the capabilities classical computing. Quantum neural networks based parametrized circuits, measurements and feed-forward can process large amounts data to reduce measurement computational costs detecting nonlocal correlations. tolerance errors due decoherence gate infidelities a key requirement for application near-term computers. Here we construct convolutional (QCNNs) that can, in presence incoherent...

10.1103/physrevresearch.6.033111 article EN cc-by Physical Review Research 2024-07-26

We propose a conditional generation of quantum squeezing from realistic single-photon states. The proposed method does not require any coherent measurement projecting on superposition internal levels inside emitters. Interestingly, the can be generated despite low efficiency therefore substantially enlarge set existing sources squeezed states electromagnetic radiation. For example, it used to produce ultraviolet radiation based already available

10.1103/physreva.90.043854 article EN Physical Review A 2014-10-24

The quality of individual photons and their ability to interfere are traditionally tested by measuring the Hong-Ou-Mandel photon bunching effect. However, this phase-insensitive measurement only tests particle aspect quantum interference, leaving out phase-sensitive aspects relevant for continuous-variable processing. To overcome these limitations we formulate a witness capable recognizing both indistinguishability single with regard utilization. We exploit conditional nonclassical squeezing...

10.1103/physreva.96.033830 article EN publisher-specific-oa Physical review. A/Physical review, A 2017-09-18

Combining topologically-protected chiral light transport and laser amplification gives rise to topological lasers, whose operation is immune fabrication imperfections defects, uncovering the role of topology in a novel nonlinear non-Hermitian regime. We study based on photonic Haldane model with selective pumping edge modes described by saturable gain. investigate elementary excitations around mean-field steady state their consequences for coherence properties. In particular, we show that...

10.1364/optica.391718 article EN cc-by Optica 2020-07-21

Abstract Single-photon states are basic resources for hybrid quantum technology with non-Gaussian of light. Accelerating is already able to produce high-quality single-photon states. These can be used information processing, based on a nonclassical phase-space interference represented by negativity Wigner function. Therefore, new quantifiers, capable evaluating such states, required. We propose and analyze quantifiers which process multiple estimates state’s statistics. The simulate...

10.1038/s41598-017-01333-y article EN cc-by Scientific Reports 2017-04-27

Static synthetic magnetic fields give rise to phenomena including the Lorentz force and quantum Hall effect even for neutral particles, they have by now been implemented in a variety of physical systems. Moving toward fully dynamical gauge allows, addition, backaction particles' motion onto field. If this results time-dependent vector potential, conventional electromagnetism predicts generation an electric Here, we show how photons arise self-consistently due nonlinear dynamics driven...

10.1103/physreva.100.023804 article EN cc-by Physical review. A/Physical review, A 2019-08-06

Advanced quantum technologies, as well fundamental tests of physics, crucially require the interference multiple single photons in linear-optics circuits. This can result bunching into higher Fock states, leading to a complex bosonic behaviour. These challenging tasks timely develop collective criteria benchmark many independent initial resources. Here we determine whether n imperfect ultimately bunch state $|n \rangle$. We thereby introduce an experimental Fock-state capability for...

10.1364/optica.419230 article EN cc-by Optica 2021-03-30

Quantum convolutional neural networks (QCNNs) are quantum circuits for recognizing phases of matter at low sampling cost and have been designed condensed systems in one dimension. Here we construct a QCNN that can perform phase recognition two dimensions correctly identify the transition from Toric Code with $\mathbb{Z}_2$-topological order to paramagnetic phase. The network also exhibits noise threshold up which topological is recognized. Our work generalizes QCNNs higher spatial intrinsic...

10.48550/arxiv.2407.04114 preprint EN arXiv (Cornell University) 2024-07-04

Optomechanics offers a natural way to implement synthetic dynamical gauge fields, leading electric fields for phonons and, as consequence, unidirectional light transport. Here we investigate the quantum dynamics of in minimal setup two optical modes coupled by phonon-assisted tunneling where phonon mode is undergoing self-oscillations. We use van-der-Pol oscillator simplest model mechanical self-oscillator that allows us perform master equation simulations. identify single parameter, which...

10.1088/2058-9565/ab32a4 article EN Quantum Science and Technology 2019-07-17

The analysis of noisy quantum states prepared on current computers is getting beyond the capabilities classical computing. Quantum neural networks based parametrized circuits, measurements and feed-forward can process large amounts data to reduce measurement computational costs detecting non-local correlations. tolerance errors due decoherence gate infidelities a key requirement for application near-term computers. Here we construct convolutional (QCNNs) that can, in presence incoherent...

10.48550/arxiv.2307.03711 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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