Saved in:
| Main Authors: | Wright, Emily, de Sousa, Rogério |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.01169 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving robustness of quantum feedback control with reinforcement learning
by: Guatto, Manuel, et al.
Published: (2024)
by: Guatto, Manuel, et al.
Published: (2024)
Discovery of an exchange-only gate sequence for CNOT with record-low gate time using reinforcement learning
by: Ivanova-Rohling, Violeta N., et al.
Published: (2024)
by: Ivanova-Rohling, Violeta N., et al.
Published: (2024)
Designing fast quantum gates using optimal control with a reinforcement-learning ansatz
by: Sarma, Bijita, et al.
Published: (2023)
by: Sarma, Bijita, et al.
Published: (2023)
Single-shot latched readout of a quantum dot qubit using barrier gate pulsing
by: Park, Sanghyeok, et al.
Published: (2024)
by: Park, Sanghyeok, et al.
Published: (2024)
The pros and cons of using deep reinforcement learning or genetic algorithms to design control schemes for quantum state transfer on qubit chains
by: Santana, Sofía Perón, et al.
Published: (2026)
by: Santana, Sofía Perón, et al.
Published: (2026)
Arbitrary quantum states preparation aided by deep reinforcement learning
by: Wang, Zhao-Wei, et al.
Published: (2024)
by: Wang, Zhao-Wei, et al.
Published: (2024)
Implementation and readout of maximally entangled two-qubit gates quantum circuits in a superconducting quantum processor
by: Stasino, Viviana, et al.
Published: (2025)
by: Stasino, Viviana, et al.
Published: (2025)
Fast and reliable entanglement distribution with quantum repeaters: principles for improving protocols using reinforcement learning
by: Haldar, Stav, et al.
Published: (2023)
by: Haldar, Stav, et al.
Published: (2023)
Fast design and scaling of multi-qubit gates in large-scale trapped-ion quantum computers
by: Peleg, Lee, et al.
Published: (2023)
by: Peleg, Lee, et al.
Published: (2023)
Discovering autonomous quantum error correction via deep reinforcement learning
by: Yin, Yue, et al.
Published: (2025)
by: Yin, Yue, et al.
Published: (2025)
Achieving fast and robust perfect entangling gates via reinforcement learning
by: Grech, Leander, et al.
Published: (2025)
by: Grech, Leander, et al.
Published: (2025)
Fast readout of quantum dot spin qubits via Andreev spins
by: Jakob, Michèle, et al.
Published: (2025)
by: Jakob, Michèle, et al.
Published: (2025)
Parametrized multiqubit gate design for neutral-atom based quantum platforms
by: Mohan, Madhav, et al.
Published: (2024)
by: Mohan, Madhav, et al.
Published: (2024)
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
by: Preti, Francesco, et al.
Published: (2023)
by: Preti, Francesco, et al.
Published: (2023)
Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
by: Belliardo, Federico, et al.
Published: (2023)
by: Belliardo, Federico, et al.
Published: (2023)
Coherence-gated quantum devices via real-time weak measurement
by: Singh, Priyank
Published: (2026)
by: Singh, Priyank
Published: (2026)
Deep reinforcement learning for near-deterministic preparation of cubic- and quartic-phase gates in photonic quantum computing
by: Anteneh, Amanuel, et al.
Published: (2025)
by: Anteneh, Amanuel, et al.
Published: (2025)
Variational quantum compiling for three-qubit gates design in quantum dots
by: Zhou, Yuanyang, et al.
Published: (2024)
by: Zhou, Yuanyang, et al.
Published: (2024)
Dropout is all you need: robust two-qubit gate with reinforcement learning
by: Xu, Tian-Niu, et al.
Published: (2023)
by: Xu, Tian-Niu, et al.
Published: (2023)
Platform tailored co-design of gate-based quantum simulation
by: Seetharam, Kushal, et al.
Published: (2021)
by: Seetharam, Kushal, et al.
Published: (2021)
Deterministic quantum master equation for non-Markovian signal processing
by: de Sousa, Guilherme, et al.
Published: (2026)
by: de Sousa, Guilherme, et al.
Published: (2026)
Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
by: Khan, Saeed A., et al.
Published: (2025)
by: Khan, Saeed A., et al.
Published: (2025)
Distributed quantum architecture search using multi-agent reinforcement learning
by: Sergeev, Mikhail, et al.
Published: (2025)
by: Sergeev, Mikhail, et al.
Published: (2025)
Fast entangling quantum gates with almost-resonant modulated driving
by: Fan, Xiayang, et al.
Published: (2024)
by: Fan, Xiayang, et al.
Published: (2024)
Fast mixed-species quantum logic gates for trapped-ion quantum networks
by: Mehdi, Zain, et al.
Published: (2024)
by: Mehdi, Zain, et al.
Published: (2024)
Fast feedback control of mechanical motion using circuit optomechanics
by: Wang, Cheng, et al.
Published: (2022)
by: Wang, Cheng, et al.
Published: (2022)
Neural-network-based design and implementation of fast and robust quantum gates
by: Kuzmanović, Marko, et al.
Published: (2025)
by: Kuzmanović, Marko, et al.
Published: (2025)
Unlocking the power of global quantum gates with machine learning
by: Singh, Vinit, et al.
Published: (2025)
by: Singh, Vinit, et al.
Published: (2025)
Single-shot readout of multiple donor electron spins with a gate-based sensor
by: Hogg, Mark R., et al.
Published: (2022)
by: Hogg, Mark R., et al.
Published: (2022)
Variational readout through quantum teleportation
by: Nishino, Yohei
Published: (2024)
by: Nishino, Yohei
Published: (2024)
Fast-feedback protocols for calibration and drift control in quantum computers
by: Magann, Alicia B., et al.
Published: (2025)
by: Magann, Alicia B., et al.
Published: (2025)
Fast high-fidelity baseband reset of a latched state for quantum dot qubit readout
by: Marciniec, Piotr, et al.
Published: (2025)
by: Marciniec, Piotr, et al.
Published: (2025)
Fast quantum gates for exchange-only qubits using simultaneous exchange pulses
by: Heinz, Irina, et al.
Published: (2024)
by: Heinz, Irina, et al.
Published: (2024)
Fast pseudorandom quantum state generators via inflationary quantum gates
by: Chamon, Claudio, et al.
Published: (2023)
by: Chamon, Claudio, et al.
Published: (2023)
Microelectronic readout of a diamond quantum sensor
by: Wirtitsch, Daniel, et al.
Published: (2024)
by: Wirtitsch, Daniel, et al.
Published: (2024)
Fast multiplexed superconducting qubit readout with intrinsic Purcell filtering
by: Spring, Peter A., et al.
Published: (2024)
by: Spring, Peter A., et al.
Published: (2024)
Taming quantum systems: A tutorial for using shortcuts-to-adiabaticity, quantum optimal control, and reinforcement learning
by: Duncan, Callum W., et al.
Published: (2025)
by: Duncan, Callum W., et al.
Published: (2025)
Microwave signal processing using an analog quantum reservoir computer
by: Senanian, Alen, et al.
Published: (2023)
by: Senanian, Alen, et al.
Published: (2023)
A readout-integrated time-bin qutrit analyzer for echo-based quantum memories
by: Holzäpfel, Adrian, et al.
Published: (2022)
by: Holzäpfel, Adrian, et al.
Published: (2022)
Enhancing qubit readout fidelity with two-mode squeezing of the coherent measurement signal
by: Abdo, Baleegh, et al.
Published: (2026)
by: Abdo, Baleegh, et al.
Published: (2026)
Similar Items
-
Improving robustness of quantum feedback control with reinforcement learning
by: Guatto, Manuel, et al.
Published: (2024) -
Discovery of an exchange-only gate sequence for CNOT with record-low gate time using reinforcement learning
by: Ivanova-Rohling, Violeta N., et al.
Published: (2024) -
Designing fast quantum gates using optimal control with a reinforcement-learning ansatz
by: Sarma, Bijita, et al.
Published: (2023) -
Single-shot latched readout of a quantum dot qubit using barrier gate pulsing
by: Park, Sanghyeok, et al.
Published: (2024) -
The pros and cons of using deep reinforcement learning or genetic algorithms to design control schemes for quantum state transfer on qubit chains
by: Santana, Sofía Perón, et al.
Published: (2026)