M. S. Moreira

ORCID: 0000-0002-7100-8013
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About
Contact & Profiles
Research Areas
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Quantum and electron transport phenomena
  • Quantum Mechanics and Applications
  • Quantum chaos and dynamical systems
  • Advancements in Semiconductor Devices and Circuit Design
  • Electronic and Structural Properties of Oxides
  • Quantum, superfluid, helium dynamics
  • Atomic and Subatomic Physics Research
  • Cold Atom Physics and Bose-Einstein Condensates
  • Neural Networks and Reservoir Computing

Delft University of Technology
2021-2023

QuTech
2021-2023

We introduce the sudden variant (SNZ) of Net Zero scheme realizing controlled-$Z$ (CZ) gates by baseband flux control transmon frequency. SNZ CZ operate at speed limit transverse coupling between computational and non-computational states maximizing intermediate leakage. The key advantage is tuneup simplicity, owing to regular structure conditional phase leakage as a function two parameters. realize in multi-transmon processor, achieving $99.93\pm0.24\%$ fidelity $0.10\pm0.02\%$ compatible...

10.1103/physrevlett.126.220502 article EN Physical Review Letters 2021-06-04

Abstract The preparation of thermal equilibrium states is important for the simulation condensed matter and cosmology systems using a quantum computer. We present method to prepare such mixed with unitary operators demonstrate this technique experimentally gate-based processor. Our targets generation thermofield double hybrid quantum-classical variational approach motivated by quantum-approximate optimization algorithms, without prior calculation optimal parameters numerical simulation....

10.1038/s41534-021-00468-1 article EN cc-by npj Quantum Information 2021-08-20

Abstract Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing on quantum processors faces challenges related the implementation non-linear functions using circuits. In this paper, we use repeat-until-success circuits enabled by real-time control-flow feedback realize neurons with activation functions. These constitute elementary building blocks that can be arranged in a variety layouts carry out deep learning tasks coherently....

10.1038/s41534-023-00779-5 article EN cc-by npj Quantum Information 2023-11-21

Abstract Future fault-tolerant quantum computers will require storing and processing data in logical qubits. We realize a suite of operations on distance-two qubit stabilized using repeated error detection cycles. Logical include initialization into arbitrary states, measurement the cardinal bases Bloch sphere, universal set single-qubit gates. For each type operation, we observe higher performance for variants over non-fault-tolerant variants, quantify difference through detailed...

10.21203/rs.3.rs-380732/v1 preprint EN cc-by Research Square (Research Square) 2021-04-08

Abstract Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing on quantum processors faces challenges related the implementation non-linear functions using circuits. In this paper, we use repeat-until-success circuits enabled by real-time control-flow feedback realize neurons with activation functions. These constitute elementary building blocks that can be arranged in a variety layouts carry out deep learning tasks coherently....

10.21203/rs.3.rs-2584797/v1 preprint EN cc-by Research Square (Research Square) 2023-04-27

The preparation of thermal equilibrium states is important for the simulation condensed-matter and cosmology systems using a quantum computer. We present method to prepare such mixed with unitary operators, demonstrate this technique experimentally gate-based processor. Our targets generation thermofield double hybrid quantum-classical variational approach motivated by quantum-approximate optimization algorithms, without prior calculation optimal parameters numerical simulation. fidelity...

10.48550/arxiv.2012.03895 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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