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Experimental Semi-Autonomous Eigensolver Using Reinforcement Learning
(Nature, 2021-06-10)
The characterization of observables, expressed via Hermitian operators, is a crucial task in quantum mechanics. For this reason, an eigensolver is a fundamental algorithm for any quantum technology. In this work, we implement ...
Enhanced Connectivity of Quantum Hardware with Digital-Analog Control
(American Physical Society, 2020-07-20)
Quantum computers based on superconducting circuits are experiencing rapid development, with the aim to outperform classical computers in certain useful tasks in the near future. However, the currently available chip ...
Superconducting circuit architecture for digital-analog quantum computing
(Springer, 2022)
[EN] We propose a superconducting circuit architecture suitable for digital-analog quantum computing (DAQC) based on an enhanced NISQ family of nearest-neighbor interactions. DAQC makes a smart use of digital steps (single ...
Digitized-counterdiabatic quantum approximate optimization algorithm
(American Physical Society, 2022)
[EN] The quantum approximate optimization algorithm (QAOA) has proved to be an effective classical-quantum algorithm serving multiple purposes, from solving combinatorial optimization problems to finding the ground state ...
Speeding up quantum perceptron via shortcuts to adiabaticity
(Springer Nature, 2021-03-11)
The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to ...
Digitized counterdiabatic quantum optimization
(American Physical Society, 2022-11)
We propose digitized-counterdiabatic quantum optimization (DCQO) to achieve polynomial enhancement over adiabatic quantum optimization for the general Ising spin-glass model, which includes the whole class of combinatorial ...
Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer
(MDPI, 2020-05-19)
We present an experimental realisation of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer. The experiment in this few-qubit superconducting chip faithfully ...
Toward Pricing Financial Derivatives with an IBM Quantum Computer
(American Physical Society, 2021-02-22)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time evolution of interest rates. Several stochastic dynamics have been proposed in the literature ...
Portfolio optimization with digitized counterdiabatic quantum algorithms
(American Physical Society, 2022-12)
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era. We apply this concept to investigate a discrete meanvariance portfolio ...
Quantum Rabi dynamics of trapped atoms far in the deep strong coupling regime
(Nature, 2023-02)
The coupling of a two-level system with an electromagnetic field, whose fully quantized version is the quantum Rabi model, is among the central topics of quantum physics. When the coupling strength becomes large enough ...